CN103093396A - Method and system for assessing power grid panel point reliability - Google Patents
Method and system for assessing power grid panel point reliability Download PDFInfo
- Publication number
- CN103093396A CN103093396A CN2013100351569A CN201310035156A CN103093396A CN 103093396 A CN103093396 A CN 103093396A CN 2013100351569 A CN2013100351569 A CN 2013100351569A CN 201310035156 A CN201310035156 A CN 201310035156A CN 103093396 A CN103093396 A CN 103093396A
- Authority
- CN
- China
- Prior art keywords
- reliability
- node
- coefficient
- electrical network
- dependability parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
The invention provides a method and a system for assessing power grid panel point reliability. The method comprises the steps that a reliability assessment order is received, power grid structural information and related element information are acquired according to the reliability assessment order; the reliability coefficient of each connecting line is generated according to the power grid structural information, the reliability coefficient of each node is generated according to the element information; the reliability parameter of each node is determined according to the reliability of each connecting line and the reliability of each node. According to the method and the system, the reliability of a power grid can be assessed easily, quickly and efficiently.
Description
Technical field
The present invention relates to the power technology field, particularly relate to a kind of method and system of assessing the grid nodes reliability.
Background technology
Along with scale and the complexity of electric system constantly increases, for the high-quality of the safety and stability that guarantees Operation of Electric Systems and power supply reliable, all need to carry out reliability assessment in the stages of the planning of electric system, design and running, guarantee abundant intensity and the security of electric system.In planning and design phase, reliability assessment relate generally to prediction electric weight demand, recognition system weak link, prioritization scheme, the large disturbance of minimizing impact, guarantee enough margin capacities etc.; And in the operation phase, the fundamental purpose of reliability assessment is to guarantee the reliability of the various methods of operation, when guaranteeing the equipment component scheduled overhaul system can be normally, stable operation etc.
A kind of mode of existing electric network reliability assessment is to calculate and stability Calculation by trend, and another way is to utilize the model algorithm of reliability assessment, but existing this dual mode more complicated all, computing time is also long.
Summary of the invention
The invention reside in provides a kind of method and system of assessing the grid nodes reliability, can assess simply, fast, efficiently the reliability of electrical network.
Purpose of the present invention is achieved through the following technical solutions:
A kind of method of assessing the grid nodes reliability comprises the steps:
Reception reliability assessment instruction obtains electric network composition information and related elements information according to this reliability assessment instruction;
According to the reliability coefficient of described each connection line of electric network composition Information generation, generate the reliability coefficient of each node according to described component information;
Determine the dependability parameter of each node according to the reliability coefficient of the reliability coefficient of each described connection line and each described node.
A kind of system that assesses the grid nodes reliability comprises:
Data transmission module is used for reception reliability assessment instruction, obtains electric network composition information and related elements information according to this reliability assessment instruction;
Element coefficient generation module is used for the reliability coefficient according to described each connection line of electric network composition Information generation, generates the reliability coefficient of each node according to described component information;
The Calculation of Reliability module is used for determining according to the reliability coefficient of the reliability coefficient of each described connection line and each described node the dependability parameter of each node.
scheme according to the invention described above, it is after receiving the reliability assessment instruction, obtain electric network composition information and related elements information according to this reliability assessment instruction, can be according to the reliability coefficient of described each connection line of electric network composition Information generation, can also generate according to described component information the reliability coefficient of each node, determine again the dependability parameter of each node according to the reliability coefficient of the reliability coefficient of each described connection line and each described node, due to the angle assessment electric network reliability from electric network composition, and can consider the power that connects between each transformer station electrical networks at different levels from highest core network to its subordinate, thereby judge the dependability parameter of each transformer station, seek simultaneously the weak link of electrical network, have of overall importance preferably, and quick directly perceived, assess effectiveness is high, can be used for the reliability decision when the electrical network Real-Time Scheduling is in service needs the cut-out overhaul of the equipments, a kind of mode of reliability assessment when also can be used as Electric Power Network Planning.
Description of drawings
Fig. 1 is the schematic flow sheet that the present invention assesses the embodiment of the method for grid nodes reliability;
Fig. 2 is the structural representation of system under evaluation in embodiment 1;
Fig. 3 is the structural representation of system under evaluation in embodiment 2 and embodiment 3;
Fig. 4 is the structural representation that the present invention assesses the system embodiment of grid nodes reliability;
Wherein, in Fig. 2～Fig. 3: a-220KV transformer station, b-220KV circuit, c-110KV transformer station, d-110KV circuit, e-220KV circuit (different tower double back), f-110KV circuit (common-tower double-return), g-35KV transformer station, h-35KV circuit.
Embodiment
The present invention is further elaborated below in conjunction with embodiment and accompanying drawing, but implementation of the present invention is not limited to this.
Shown in Figure 1, assess the schematic flow sheet of the embodiment of the method for grid nodes reliability for the present invention, as shown in Figure 1, the method for the assessment grid nodes reliability in this embodiment comprises the steps:
Step S101: reception reliability assessment instruction, obtain electric network composition information and related elements information according to this reliability assessment instruction, enter step S102;
Electric network composition information and component information can be obtained from dispatching center system or other data sources, and obtaining of data is real-time and convenient; Component information comprises the reliability coefficient definition of all types of elements, the importance index of each node (generally referring to transformer station's node) etc.;
Step S102: according to the reliability coefficient of described each connection line of electric network composition Information generation, generate the reliability coefficient of each node according to described component information, enter step S103;
Step S103: the dependability parameter of determining each node according to the reliability coefficient of the reliability coefficient of each described connection line and each described node;
The reaction of above-mentioned reliability coefficient be node faults itself possibility, and dependability parameter considers self reliability that circuit between node connects strong and weak and node and draws.
accordingly, scheme according to above-mentioned the present embodiment, it is to receive the reliability assessment instruction, obtain electric network composition information and related elements information according to this reliability assessment instruction, can be according to the reliability coefficient of described each connection line of electric network composition Information generation, and generate the reliability coefficient of each node according to described component information, determine the dependability parameter of each node according to the reliability coefficient of the reliability coefficient of each described connection line and each described node, due to the angle assessment electric network reliability from electric network composition, and can consider electrical networks at different levels from highest core network to its subordinate the power of connection between each transformer station, thereby judge the dependability parameter of each transformer station, seek simultaneously the weak link of electrical network, have of overall importance preferably, and quick directly perceived, assess effectiveness is high, can be used for the reliability decision when the electrical network Real-Time Scheduling is in service needs the cut-out overhaul of the equipments, a kind of mode of reliability assessment when also can be used as Electric Power Network Planning.
In embodiment, described reliability coefficient according to described each circuit of electric network composition Information generation comprises step therein: the connection matrix that characterizes the connection line reliability according to described electric network composition Information generation; The described reliability coefficient that characterizes each node according to described component information generation comprises step: generate the node matrix of coefficients that characterizes transformer station's reliability according to described component information, plan the reliability coefficient of the reliability coefficient that obtains each node and each connection line by the mode of matrix, can facilitate calling of data.
For example, can characterize the connection matrix C of circuit reliability according to described electric network composition Information generation, wherein, the element c in connection matrix C
kijIn digital representation k level electrical network, the reliability coefficient of the circuit that directly is connected between node i and node j, as, single back line: c
kij=0.95, common-tower double-return circuit: c
kij=0.98 etc.; If being connected with j, node i directly do not connect, c
kij=0, simultaneously, the syndeton matrix of subordinate's electrical network also comprises the node that is attached thereto in the upper level electrical network.According to actual needs, in connection matrix C the size of each element determine can consider circuit return number, multi-line whether same tower, whether use the factors such as same circuit corridor, line length, geography information, more accurate to guarantee data.
For example, can generate the node matrix of coefficients B that characterizes the node reliability according to described component information, wherein, the element b in node matrix of coefficients B
kiRepresent in k level electrical network, self reliability coefficient of node i, the determining of this coefficient magnitude can consider the factors such as bus wiring type, Substation Design, and be more accurate to guarantee data, as transformer station self reliability coefficient of the double bus scheme transformer station higher than single bus scheme.
therein in embodiment, the dependability parameter that calculates each node in above-mentioned steps S103 can be realized in the following way: the dependability parameter that at first calculates each node of highest voltage level electrical network (k=1), calculate afterwards the dependability parameter of each node of next stage (k=2) electrical network of highest voltage level electrical network, the rest may be inferred one-level electrical network to the last, when the dependability parameter of each node that calculates other electrical networks at different levels except the voltage levels electrical network be: according to the upper level electrical network be connected the connection of the connection of electrical network and each node of electrical network at the corresponding levels and determine the dependability parameter of each node of electrical network at the corresponding levels, wherein, generally backbone network is defaulted as the highest voltage level electrical network, also can manually specify.Need to prove, according to the upper level electrical network be connected the connection of the connection of electrical network and each node of electrical network at the corresponding levels and determine that in the dependability parameter of each node of electrical network at the corresponding levels, indication upper level electrical network is the electrical network of general reference other grades except the afterbody electrical network, and be not the electrical network of a certain a specific order of finger; Electrical network at the corresponding levels is made a general reference the electrical network of other grades except the voltage levels electrical network, is not also the electrical network that refers to a certain a specific order; In actual applications, electrical networks at different levels can be according to serve as electrical network at the corresponding levels or upper level electrical network at the different operating that does not carry out in the same time.
Concrete process can be: at first from the trunk electrical network, calculate the dependability parameter of each node.Trunk electrical network (k=1) is defaulted as the highest voltage level electrical network, also can manually specify.The computing method of the dependability parameter of trunk grid nodes are, take the node i of core network as example, from c
kijIn find and be not 0 item, the circuit that expression directly is connected with node i, and (b
kj* c
kij) represent node j and the trouble-free probability of the circuit that is connected with i thereof.The circuit that is connected with node i has at least a trouble-free probability to be:
P
li＝[1-(1-b
11*c
li1)*(1-b
12*c
li2)*...*(1-b
1n*c
1in)]
P
1iMultiply by again the reliability coefficient b of node i self
1i, obtain R
1i, be the final dependability parameter of node i.
Calculate afterwards electrical network (k=2) the node dependability parameter of trunk electrical network next stage.This moment need to be with the R that obtains before
1iReplace B
1i, because the upper level grid nodes as power supply to subordinate's mains supply, should adopt the combined reliability parameter of upper level grid nodes rather than self coefficient to calculate when calculating subordinate's electric network reliability.Search and the node that the trunk electrical network directly is connected only consider that the trunk electrical network to these node power supplies, calculates its dependability parameter R this moment
2iAnd replace corresponding B
2i, then derive to all nodes of electrical network at the corresponding levels always.
The rest may be inferred one-level electrical network to the last.After completing, calculating can obtain the node dependability parameter of whole electrical network.
In addition, in embodiment, can also comprise step after step S103 therein: its dependability parameter is shone upon according to the importance index of each node the reliability index that obtains each node.The acquisition of this reliability index is by the importance two aspects decisions of node dependability parameter and this node, for example, although a certain node dependability parameter is lower, but because its importance is also lower, the reliability index that finally obtains can be higher, and the index index can more directly be reacted the reliability situation of node.
as previously mentioned, the importance index that just comprises node in the initial component information that obtains, importance index is different, the mapping relations that need to use when mapping are also different, and, these mapping relations also can be set according to the actual conditions of electrical network, mainly the setting dependability parameter of respectively corresponding each importance index and the corresponding relation between reliability index, for example, for a trunk grid nodes, its dependability parameter is 0.998, importance index is key node, corresponding mapping relations are: dependability parameter was greater than 0.997 o'clock, reliability index is that reliability is high, when dependability parameter (comprises 0.995 and 0.997) between 0.995 and 0.997, reliability index is for still can, dependability parameter is less than 0.995, reliability index is that reliability is low, according to these mapping relations, the reliability index of this node is that reliability is high.
The invention will be further described below by several specific embodiments.
As shown in Figure 2, system under evaluation has two electric pressures.Definition circuit reliability coefficient is: the reliability coefficient of 220KV single back line is 0.95, the reliability coefficient of the different tower double-circuit line of 220KV is 0.99, the reliability coefficient of 110KV single back line is that the reliability coefficient of 0.95,110KV common-tower double-return circuit is 0.985; The defined node reliability coefficient is: the reliability coefficient of 220KV transformer station is that the reliability coefficient of 0.99,110KV transformer station is 0.99.What need to replenish is, only of the present inventionly can carry out different definition according to actual conditions for example in practical operation for setting forth to the definition of the carrying out of related coefficient in embodiment, but all within the protection domain of this patent.
Comprise above-mentioned definition in the component information of obtaining, according to above definition, have:
220KV electrical network (first order) connection matrix:
C1＝[0?0.99?0.95?0.99?0?0.95?0.95?0.95?0]；
220KV-110KV electrical network (second level) connection matrix:
At first, determine the dependability parameter of 220KV looped network according to following formula:
P
li＝[1-(1-b
1*c
1i1)*(1-b
2*c
1i2)*(1-b
13*c
li3)]
R
1i＝P
1i*B
“
The dependability parameter that obtains three 220KV transformer stations is:
R＝[0.9888，0.9888，0.9865]；
Secondly, determine the dependability parameter of four 110KV transformer stations: replace respectively B1, B2, B3 with R1, R2, R3, then consider the part that next stage network and core network directly are connected:
R
24＝[1-(1-R
13*C
234)]*B
4＝0.
9620；
R
25＝[1-(1-R
11*C
215)*(1-B
6*C
256)]*B
5＝0.9863；
R
26＝[1-(1-R
12*C
226)*(1-B
5*C
267)]*B
6＝0.9863；
Transformer station 7 can be powered by transformer station 5 or 6:
R
27＝[1-(1-R
25*C
257)*(1-R
26*C
267)]*B
7＝0.9861；
So far the node dependability parameter has calculated and has completed.Can see that the dependability parameter of transformer station 4 is a little less than transformer station 5,6 and 7, this be on the one hand because the dependability parameter of its power supply source transformer station 3 a little less than transformer station 1 and 2, be to only have a common-tower double-return circuit because connect the circuit of transformer station 4 on the other hand, transformer station 5,6 is connected by looped network with being connected.
Can also follow again the reliability index of predicate node, for example, the dependability parameter of transformer station 1 is 0.9888, importance index is key node, if the mapping relations of corresponding key node are: dependability parameter is reliable greater than 0.99 o'clock reliability index, reliability index between 0.985 to 0.99 (comprising 0.985 and 0.99) time reliability index for still can, reliability index is poor reliability less than 0.985 o'clock reliability index, the reliability index of transformer station 1 is for still can.
As shown in Figure 3, system under evaluation has 3 electric pressures.Definition circuit reliability coefficient is: the reliability coefficient of 220KV single back line is 0.95, the reliability coefficient of the different tower double-circuit line of 220KV is 0.99, the reliability coefficient of 110KV single back line is 0.95, the reliability coefficient of 110KV common-tower double-return circuit is that the reliability coefficient of 0.985,35KV single back line is 0.95; The defined node reliability coefficient is: the reliability coefficient of 220KV transformer station is that the reliability coefficient of 0.99,110KV transformer station is that the reliability coefficient of 0.99,35KV transformer station is 0.98.
Comprise above-mentioned definition in the component information of obtaining, according to above definition, have:
At first, determine the dependability parameter of 220KV transformer station 1,2.Can get:
R
1＝[0.9703，0.9703]；
Calculate again the dependability parameter of 110KV transformer station 3:
R
23＝[1-(1-R
1*C
213)(1-R
2*C
223)]*B
3＝0.9839；
Calculate again the dependability parameter of 35KV transformer station 4:
R
34＝[1-(1-R
23*C
334)]*B
4＝0.9160；
Can see, owing to only having single back line power supply, the dependability parameter of 35KV transformer station 4 is obviously lower.
The reliability index of predicate node afterwards.Lower than 220KV and 110KV transformer station, although the dependability parameter of transformer station 4 is starkly lower than other transformer station, the mapping relations that its reliability index still will be corresponding according to its importance determine due to the importance index of 35KV transformer station.
The present embodiment still adopts system and the reliability coefficient identical with embodiment 2 definition of Fig. 3, and different be that line maintenance between the present embodiment imitating substation 2 and transformer station 3 disconnects.At this moment:
R
1＝[0.9703，0.9703]；
The dependability parameter of 110KV transformer station:
R23＝[1-(1-R
1*C
213)]*B
3＝0.9126；
Calculate again the dependability parameter of 35KV transformer station:
R
34＝[1-(1-R
23*C
334)]*B
4＝0.8496；
Can see, due to a loop line road maintenance, the reliability of 110KV transformer station and 35KV transformer station all declines to a great extent.This moment, the reliability index of decision node again, need to reach 0.97 reliability as 110KV transformer station, and 35KV transformer station need reach 0.90 reliability, and transformer station 3,4 all will be judged as poor reliability.
According to the method for the assessment grid nodes reliability of the invention described above, the present invention also provides a kind of system that assesses the grid nodes reliability, below is elaborated with regard to the concrete example of the system of assessment grid nodes reliability of the present invention.
As shown in Figure 4, assess the structural representation of the system embodiment of grid nodes reliability for the present invention, it comprises: data transmission module 201, element coefficient generation module 202, Calculation of Reliability module 203, wherein:
Data transmission module 201, be used for reception reliability assessment instruction, obtain electric network composition information and related elements information according to this reliability assessment instruction, wherein, electric network composition information and component information can be obtained from dispatching center system or other data sources, and obtaining of data is real-time and convenient; Component information comprises the reliability coefficient definition of all types of elements, the information such as importance index of each node (referring generally to transformer station's node), when specific implementation, this module can adopt the fiber optic Ethernet system, improving the speed of data acquisition and transmission, but also is not limited to this mode;
Element coefficient generation module 202 is used for the reliability coefficient according to described each connection line of electric network composition Information generation, generates the reliability coefficient of each node according to described component information;
Calculation of Reliability module 203 is used for determining according to the reliability coefficient of the reliability coefficient of each described connection line and each described node the dependability parameter of each node;
Wherein, the reaction of above-mentioned reliability coefficient be node faults itself possibility, and dependability parameter considers self reliability that circuit between node connects strong and weak and node and draws.
accordingly, scheme according to the present embodiment, it is to receive the reliability assessment instruction at data transmission module 201, after obtaining electric network composition information and related elements information according to this reliability assessment instruction, element coefficient generation module 202 can be according to the reliability coefficient of described each circuit of electric network composition Information generation, can also generate according to described component information the reliability coefficient of each node, Calculation of Reliability module 203 is determined the dependability parameter of each node again according to the reliability coefficient of the reliability coefficient of each described connection line and each described node, because electric network composition information and component information can be obtained from dispatching center system or other data sources, obtaining of data is real-time and convenient, in addition, due to the angle assessment electric network reliability from electric network composition, and can consider the power that connects between each transformer station electrical networks at different levels from the highest voltage level electrical network to its subordinate, thereby judge the dependability parameter of each transformer station, seek simultaneously the weak link of electrical network, have of overall importance preferably, and quick directly perceived, assess effectiveness is high, can be used for the reliability decision when the electrical network Real-Time Scheduling is in service needs the cut-out overhaul of the equipments, a kind of mode of reliability assessment when also can be used as Electric Power Network Planning.
Therein in embodiment, element coefficient generation module 202 can characterize according to described electric network composition Information generation the connection matrix of circuit reliability, generate the node matrix of coefficients that characterizes the node reliability according to described component information, specifically can by above-mentioned in embodiment corresponding to the method for assessment grid nodes reliability relevant mode realize, do not repeat them here.
Wherein, generally need to consider when obtaining connection matrix circuit return number, multi-line whether same tower, whether use the factors such as same circuit corridor, line length, geography information; Generally need to consider the factors such as bus wiring type, Substation Design when determining described node matrix of coefficients, more accurate to guarantee the data in connection matrix and node matrix of coefficients.
Therein in embodiment, at first Calculation of Reliability module 203 determines the dependability parameter of each node of highest voltage level electrical network, definite principle of other electrical networks at different levels is: according to the upper level electrical network be connected the connection of the connection of electrical network and each node of electrical network at the corresponding levels and determine the dependability parameter of each node of electrical network at the corresponding levels, specifically can by above-mentioned in embodiment corresponding to the method for assessment grid nodes reliability relevant mode realize, do not repeat them here.
In addition, in embodiment, Calculation of Reliability module 203 can also be used for according to the importance index of each node, its dependability parameter being carried out the reliability index that mapping calculation obtains each node therein.The acquisition of this reliability index is by the importance index two aspects decisions of node dependability parameter and this node, and for example, although a certain node dependability parameter is lower, because its importance index is also lower, the reliability index that finally obtains can be higher.as previously mentioned, the importance index that just comprises node in the initial component information that obtains, importance index is different, the mapping relations that need to use when mapping are also different, and, these mapping relations also can be set according to the actual conditions of electrical network, mainly the setting dependability parameter of respectively corresponding each importance index and the corresponding relation between reliability index, for example, for a trunk grid nodes, its dependability parameter is 0.998, importance index is key node, corresponding mapping relations are: dependability parameter was greater than 0.997 o'clock, reliability index is that reliability is high, when dependability parameter (comprises 0.995 and 0.997) between 0.995 and 0.997, reliability index is for still can, dependability parameter is less than 0.995, reliability index is that reliability is low, according to these mapping relations, the reliability index of this node is that reliability is high.
The grid nodes reliability evaluation system of the invention described above can utilize the programmable logic device (PLD) such as DSP, FPGA, CPLD, EPLD to realize in conjunction with digital device and the analog device of necessity, but also be not limited to these modes.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.Should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a method of assessing the grid nodes reliability, is characterized in that, comprises the steps:
Reception reliability assessment instruction obtains electric network composition information and related elements information according to this reliability assessment instruction;
According to the reliability coefficient of described each connection line of electric network composition Information generation, generate the reliability coefficient of each node according to described component information;
Determine the dependability parameter of each node according to the reliability coefficient of the reliability coefficient of each described connection line and each described node.
2. the method for assessment grid nodes reliability according to claim 1, it is characterized in that, described reliability coefficient according to described each connection line of electric network composition Information generation, the reliability coefficient that generates each node according to described component information comprises step: characterize the connection matrix of connection line reliability according to described electric network composition Information generation, generate the node matrix of coefficients that characterizes the node reliability according to described component information.
3. the method for assessment grid nodes reliability according to claim 2, it is characterized in that, according to electric network composition information and circuit return number, multi-line whether same tower, whether use same circuit corridor, line length, geography information to determine described connection matrix; Determine described node matrix of coefficients according to described component information and bus wiring type, Substation Design.
4. the method for assessment grid nodes reliability according to claim 1, is characterized in that, the dependability parameter number of described definite each node comprises step:
Determine the dependability parameter of each node of highest voltage level electrical network;
According to the upper level electrical network be connected the connection of the connection of electrical network and each node of electrical network at the corresponding levels and determine the dependability parameter of each node of electrical network at the corresponding levels.
One of according to claim 1 to 4 described assessment grid nodes reliability method, it is characterized in that, described according to each described connection line reliability coefficient and the reliability coefficient of each described node determine each node dependability parameter after also comprise step:
According to the importance of each node, its dependability parameter is carried out the reliability index that mapping calculation obtains each node.
6. a system that assesses the grid nodes reliability, is characterized in that, comprising:
Data transmission module is used for reception reliability assessment instruction, obtains electric network composition information and related elements information according to this reliability assessment instruction;
Element coefficient generation module is used for the reliability coefficient according to described each connection line of electric network composition Information generation, generates the reliability coefficient of each node according to described component information;
The Calculation of Reliability module is used for determining according to the reliability coefficient of the reliability coefficient of each described connection line and each described node the dependability parameter of each node.
7. the system of assessment grid nodes reliability according to claim 6, it is characterized in that, described element coefficient generation module characterizes the connection matrix of connection line reliability according to described electric network composition Information generation, generate the node matrix of coefficients that characterizes the node reliability according to described component information.
8. the system of assessment grid nodes reliability according to claim 7, it is characterized in that, described element coefficient generation module according to electric network composition information and circuit return number, multi-line whether same tower, whether use same circuit corridor, line length, geography information to determine described connection matrix; Determine described node matrix of coefficients according to described component information and bus wiring type, Substation Design.
9. the system of assessment grid nodes reliability according to claim 6, it is characterized in that, described Calculation of Reliability module is determined the dependability parameter of each node of highest voltage level electrical network, and according to the upper level electrical network be connected the connection of the connection of electrical network and each node of electrical network at the corresponding levels and determine the dependability parameter of each node of electrical network at the corresponding levels.
One of according to claim 6 to 9 described assessment grid nodes reliability system, it is characterized in that, described Calculation of Reliability module also is used for according to the importance of each node, its dependability parameter being carried out the reliability index that mapping calculation obtains each node.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310035156.9A CN103093396B (en) | 2013-01-29 | 2013-01-29 | The method and system of assessment grid nodes reliability |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310035156.9A CN103093396B (en) | 2013-01-29 | 2013-01-29 | The method and system of assessment grid nodes reliability |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103093396A true CN103093396A (en) | 2013-05-08 |
| CN103093396B CN103093396B (en) | 2016-06-08 |
Family
ID=48205933
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310035156.9A Active CN103093396B (en) | 2013-01-29 | 2013-01-29 | The method and system of assessment grid nodes reliability |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103093396B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103413251A (en) * | 2013-08-22 | 2013-11-27 | 国家电网公司 | Method and system for evaluating reliability of power network |
| CN103559646A (en) * | 2013-10-10 | 2014-02-05 | 国家电网公司 | Power distribution network reliability quadratic optimization assessment method facing power distribution reliability |
| CN103995921A (en) * | 2014-04-22 | 2014-08-20 | 广东电网公司电力科学研究院 | Method for simulating and assessing micro-grid power supply system reliability |
| CN107194594A (en) * | 2017-05-26 | 2017-09-22 | 中国南方电网有限责任公司超高压输电公司天生桥局 | A kind of back-to-back converter substation physical message system reliability estimation method based on IEC61850 |
| CN105242156B (en) * | 2015-11-18 | 2017-12-19 | 莫毓昌 | A kind of performance reliability assessment method towards electric power networks |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090030556A1 (en) * | 2007-07-26 | 2009-01-29 | Gennaro Castelli | Methods for assessing reliability of a utility company's power system |
| CN102682407A (en) * | 2012-04-06 | 2012-09-19 | 广东电网公司电力科学研究院 | Comprehensive reliability assessment method for 500kV terminal substation |
-
2013
- 2013-01-29 CN CN201310035156.9A patent/CN103093396B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090030556A1 (en) * | 2007-07-26 | 2009-01-29 | Gennaro Castelli | Methods for assessing reliability of a utility company's power system |
| CN102682407A (en) * | 2012-04-06 | 2012-09-19 | 广东电网公司电力科学研究院 | Comprehensive reliability assessment method for 500kV terminal substation |
Non-Patent Citations (3)
| Title |
|---|
| WANG LINGFENG等: "Reliability Evaluation of Power-Generating Systems Including Time-dependent Sources Based on Binary Particle Swarm Optimization", 《2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION》, 31 December 2007 (2007-12-31), pages 3346 - 3352 * |
| 束洪春等: "基于图论的复杂配电网可靠性评估方法", 《电网技术》, vol. 30, no. 21, 15 November 2006 (2006-11-15), pages 46 - 49 * |
| 梁文举等: "基于割集法的输电网分区可靠性分析评估", 《百度文库：HTTP://WENKU.BAIDU.COM/LINK?URL=QHQOVCUNFDHWMPGDWXBYCZO6CI3MTSIG03WH9KNAIPN6QZDKDIAGMODOYZJWQRGGQEQRXCMHCS8NBKKSJZ3EMYHJIJPOUYHJ_DDI_TPUDPE》, 20 December 2012 (2012-12-20), pages 1584 - 1589 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103413251A (en) * | 2013-08-22 | 2013-11-27 | 国家电网公司 | Method and system for evaluating reliability of power network |
| CN103559646A (en) * | 2013-10-10 | 2014-02-05 | 国家电网公司 | Power distribution network reliability quadratic optimization assessment method facing power distribution reliability |
| CN103995921A (en) * | 2014-04-22 | 2014-08-20 | 广东电网公司电力科学研究院 | Method for simulating and assessing micro-grid power supply system reliability |
| CN103995921B (en) * | 2014-04-22 | 2017-08-08 | 广东电网公司电力科学研究院 | A kind of simulation evaluation method of microgrid electric power system reliability |
| CN105242156B (en) * | 2015-11-18 | 2017-12-19 | 莫毓昌 | A kind of performance reliability assessment method towards electric power networks |
| CN107194594A (en) * | 2017-05-26 | 2017-09-22 | 中国南方电网有限责任公司超高压输电公司天生桥局 | A kind of back-to-back converter substation physical message system reliability estimation method based on IEC61850 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103093396B (en) | 2016-06-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108520624B (en) | Low-voltage intelligent acquisition complete device and low-voltage acquisition double-channel acquisition method | |
| Sun et al. | An online dynamic security assessment scheme using phasor measurements and decision trees | |
| CN104218604B (en) | Network equivalent method based power distribution network reliability analysis method and system | |
| CN105576660B (en) | Local distribution network in-circuit emulation analytical equipment and system | |
| CN102938106B (en) | Major network N-1 methods of risk assessment based on grid power blackout plan and system | |
| CN105553103B (en) | A kind of region active distribution network Energy Management System and method | |
| CN103166812B (en) | Power communication system determination method of reliability | |
| CN103093396A (en) | Method and system for assessing power grid panel point reliability | |
| CN106887839B (en) | Distribution terminal distribution optimization method considering data transmission error influence of information link | |
| CN109327323B (en) | New energy grid-connected power communication network planning and optimizing method and system | |
| CN104578153A (en) | Recognition method of topological structure of electric network | |
| CN104573887A (en) | Resource allocation optimizing method for failure repair of distribution network | |
| CN107069801B (en) | A kind of power distribution network isolated island division methods based on minimum Custom interruption cost | |
| CN115313374A (en) | Active power distribution network fault recovery method fusing multi-agent architecture | |
| CN103093287B (en) | Method and system for power grid index prediction error assessment | |
| CN208432876U (en) | DC distribution net real-time emulation system | |
| Zelensky et al. | Development of a distributed multi-agent system monitoring and control networks of 0.4–35 kV | |
| Artale et al. | Measurement and communication interfaces for distributed generation in smart grids | |
| CN104283208B (en) | The composition decomposition computational methods of the probability available transmission capacity of large-scale power grid | |
| CN109067602A (en) | Electric power adapted electric industry business method for diagnosing faults and Related product based on communication monitoring | |
| CN105335824B (en) | Distribution network failure repairing command methods and system based on data center | |
| CN104537161A (en) | Medium voltage distribution network diagnostic analysis method based on power supply safety standards | |
| CN109002938B (en) | Double-layer planning method for alternating current-direct current hybrid power distribution network considering N-1 safety criterion | |
| Gao et al. | Concepts, structure and developments of high-reliability cyber-physical fusion based coordinated planning for distribution system | |
| Donuk et al. | Metering and data processing in a micro-scale area for smart grid applications |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 510699 No. 75 Meihua Road, Guangzhou, Guangdong, Yuexiu District Patentee after: ELECTRIC POWER DISPATCHING CONTROL CENTER OF GUANGDONG POWER GRID Co.,Ltd. Address before: 510699 No. 75 Meihua Road, Guangzhou, Guangdong, Yuexiu District Patentee before: ELECTRIC POWER DISPATCH CONTROL CENTER OF GUANGDONG GRID Co. |