CN101807798A - Section data integration method for power system safety and stability online analysis - Google Patents

Section data integration method for power system safety and stability online analysis Download PDF

Info

Publication number
CN101807798A
CN101807798A CN 201010152132 CN201010152132A CN101807798A CN 101807798 A CN101807798 A CN 101807798A CN 201010152132 CN201010152132 CN 201010152132 CN 201010152132 A CN201010152132 A CN 201010152132A CN 101807798 A CN101807798 A CN 101807798A
Authority
CN
China
Prior art keywords
stability
generator
stable
safety
bus
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
Application number
CN 201010152132
Other languages
Chinese (zh)
Other versions
CN101807798B (en
Inventor
徐泰山
李碧君
鲍颜红
方勇杰
薛禹胜
罗剑波
郑亮
沈凤杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nari Technology Co Ltd
Original Assignee
Nanjing NARI Group Corp
State Grid Electric Power Research Institute
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nanjing NARI Group Corp, State Grid Electric Power Research Institute filed Critical Nanjing NARI Group Corp
Priority to CN2010101521328A priority Critical patent/CN101807798B/en
Publication of CN101807798A publication Critical patent/CN101807798A/en
Application granted granted Critical
Publication of CN101807798B publication Critical patent/CN101807798B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention belongs to the technical field of the power system and automation, which comprises the following steps: 1) calculating impact factor of a generator and a bus on safety and stability of the grid according to the margin and model of safety and stability of the previous operating state power grid; 2) for the power grid (internal grid) under the dispatching jurisdiction, adopting the weight number impact factor of the generator and the bus on safety and stability of the grid to correct weight number measured, performing state estimation to obtain the internal grid section data for security and stability online analysis; and 3) for the power grid (external grid) out of the dispatching jurisdiction, by modifying output power and load of an internal generator of the external gird, ensuring that power flow of a contact line between the internal grid and the external grid is basically constant with the power flow of the internal gird, and adjusted quantity of output power and load of the generator is calculated to be minimum after impact factor of the generator and the bus, and obtaining adjusted external gird section data; and 4) combining the data of the internal grid section and the external grid section data, arranging a balancing machine in the external grid so as to obtain the section data meeting the internal safety and stability online analysis.

Description

The section data integration method that is used for power system safety and stability online analysis
Technical field
The invention belongs to electric power system and technical field of automation.
Background technology
The operation of power networks profile data is the data basis of power system safety and stability online analysis, and its accuracy directly has influence on power system safety and stability online analysis result's practicality.Transfer the subnet of pipe (to abbreviate as: Intranet) carry out safety and stability online analysis for control centre in the interconnected network, for the common state estimation result who directly adopts this control centre's EMS (EMS) of the profile data of Intranet, (abbreviate as: profile data outer net) also is to adopt the state estimation result usually to transfer the outer electrical network of scope tube for this control centre.The data acquisition time that is used for Power Network Status Estimation is inconsistent, bigger, the different weights of the weights degree of correlation of measurement amount in the result of calculation of state estimation and the residual equation, the difference as a result of state estimation, the weights of measurement amount are big more, and state estimation result is approaching more corresponding measuring value just.The degree of correlation of the running status of each generator and bus is different in the security and stability of electrical network and the electrical network, as if the estimated accuracy height that electricity net safety stable is influenced the running status of big generator and bus, then the analysis result of electricity net safety stable will be more accurate., need the state estimation algorithm of routine be improved, to improve the precision that electricity net safety stable is analyzed for this reason.Equally also need be optimized adjustment to the influence degree of safety and stability according to generator and bus for the outer net profile data.
Therefore, the present invention proposes the section data integration method that is used for power system safety and stability online analysis, optimize and revise at the state estimation algorithm of routine and outer net profile data and to introduce generator and bus factor of influence in the algorithm safety and stability, realization can improve the precision of electricity net safety stable on-line analysis towards the section data integration of electricity net safety stable on-line analysis.
Summary of the invention
The present invention seeks to: realize section data integration, improve the precision of electricity net safety stable on-line analysis towards the electricity net safety stable on-line analysis.
The present invention adopts following technical scheme to realize, comprises the steps:
1) generator, bus calculate the factor of influence of electricity net safety stable
Stable for microvariations, according to the microvariations stable mode analysis result of previous operation of power networks state, adopt formula (1) calculating generator to the stable factor of influence of electrical network microvariations.
G s , i = 1 + Σ j = 1 m p a . ij ( σ - σ j ) σ - - - ( 1 )
Wherein, σ is the damping ratio threshold value that is used for filtering out from all low frequency oscillation modes serious relatively pattern, and m is the pattern count of damping ratio less than σ, σ jBe the damping ratio of j pattern, p A.ijIt is the participation factors of generator i in j the pattern.
For static voltage stability,, adopt formula (2) to calculate the factor of influence of bus to static voltage stability according to the static voltage stability pattern analysis result of previous operation of power networks state.
B s . i = 1 + Σ j = 1 n p v . ij ( λ - λ j ) λ - - - ( 2 )
Wherein, λ is the characteristic value threshold value that is used for filtering out from all voltage stable modes serious relatively pattern, and n is the pattern count of characteristic value less than λ, λ jBe the characteristic value of j pattern, p V.ijIt is the participation factors of j pattern median generatrix i.
For transient state angle stability and transient voltage safe and stable, transient state angle stability nargin, pattern and transient voltage safe and stable nargin, the pattern of each forecast failure of the previous operation of power networks state of foundation adopt formula (3) and (4) calculating generator and the bus factor of influence to the electrical network transient safe and stable respectively.
G t . i = 1 + Σ j = 1 k | q a . ij | ( η a - η a . j ) η a - - - ( 3 )
B t . i = 1 + Σ j = 1 l q v , ij ( η v - η v , j ) η v - - - ( 4 )
Wherein, η aFor being used for filtering out from all forecast failures the stability margin threshold value of the relative catastrophe failure of transient state angle stability, k is that transient state angle stability nargin is less than η aThe forecast failure number, η A.jBe the transient state angle stability nargin (1≤η after the fault j generation A.j≤ 1, η A.j<0 expression merit angle unstability, η A.j=0 expression merit angle neutrality, η A.j>0 expression angle stability), q A.ijBe the participation factors of generator i in the transient state angle stability pattern of fault j (participation factors of critical mass-sending motor for just, the participation factors of remaining mass-sending motor is for negative); η vFor being used for filtering out from all forecast failures the safety and stability nargin threshold value of the relative catastrophe failure of transient voltage safe and stable, l is that transient voltage safe and stable nargin is less than η vThe forecast failure number, η V.jTransient voltage safe and stable nargin (1≤η of back bus i takes place for fault j V.j≤ 1, η V.jDangerous or the unstability of<0 expression voltage, η V.j=0 expression voltage critical safety and stability, η V.j>0 expression voltage security is stable), q V.ijParticipation factors for the transient voltage safe and stable pattern median generatrix i of fault j.
2) be stabilized in the Intranet section state estimation of line analysis towards intranet security
State estimation algorithm to Intranet is made amendment, and adopts generator and bus that the factor of influence of electricity net safety stable is come the weights of correction measurement, promptly in the residual equation of state estimation, for generator measurement amount weights, adopts (k sG S.i+ k tG T.i) and reflect that the product of the weights of error in measurement replaces, for bus measurement amount weights, adopt (l sB S.i+ l tB T.i) replace k wherein with the product of weights of reflection error in measurement s, k t, l sAnd l tIt is set point.Again Intranet is carried out state estimation and calculate, can obtain being used for the Intranet profile data of safety and stability online analysis;
3) the outer net profile data that is stabilized in line analysis towards intranet security is optimized and revised
Take into account generator, the bus factor of influence to electricity net safety stable in the profile data to outer net is optimized the target function of adjustment, formula (5) is the meritorious model of optimizing and revising of outer net profile data, and the idle work optimization adjustment model is similar with it.
Figure GSA00000087216400041
Wherein, M is the adjustable generator number of outer net, Δ P iBe the meritorious adjustment amount of generator, N is the deferrable load bus number of outer net, Δ P jBe the meritorious adjustment amount of load, C KiBe of the meritorious sensitivity of i platform generator to k bar interconnection, C KjBe of the meritorious sensitivity of j load to k bar interconnection, Δ P L.kMeritorious poor of corresponding interconnection before to be that k bar Intranet interconnection is meritorious adjust with the outer net profile data, L is the number of inside and outside net interconnection.Adopt the quadratic programming algorithm computation to go out gaining merit and the reactive power adjustment amount of generator and load, and outer net section primary data is made amendment, promptly obtain being stabilized in the outer net profile data of line analysis towards intranet security.
4) the inside and outside net profile data that is stabilized in line analysis towards intranet security merges
Step 2) and the inside and outside net profile data that is stabilized in line analysis towards intranet security that obtains of step 3) lump together, and will be used for the balancing machine that the whole network trend calculates and be arranged on outer net, then be met the whole network section tidal current data that intranet security is stabilized in line analysis.
Additional disclosure be: when the electricity net safety stable on-line analysis system starts for the first time, initial value is set need for the factor of influence of generator and bus.
Effect and advantage:
The present invention is according to the different characteristic of the degree of correlation of the running status of each generator in the security and stability of electrical network and the electrical network and bus, by online calculating generator and bus factor of influence to electricity net safety stable, optimize and revise at the state estimation algorithm of routine and outer net profile data and to introduce generator and bus factor of influence in the algorithm safety and stability, realized towards the section data integration of electricity net safety stable on-line analysis, can improve the precision of electricity net safety stable on-line analysis, solve towards the difficult problem of the section data integration of big electricity net safety stable on-line analysis.
Description of drawings
Fig. 1 is the flow chart of the inventive method.
Embodiment
Below in conjunction with accompanying drawing 1, the inventive method is described in detail.
Step 1 is described among Fig. 1 is electricity net safety stable on-line analysis system when starting, owing to there is not previous electricity net safety stable analysis result in the continuous running, so generator and the bus factor of influence to electricity net safety stable need artificially be set;
Step 2 is described among Fig. 1 is calculating generator, the bus factor of influence to electricity net safety stable, comprises following 3 parts:
1) stable for microvariations, according to the microvariations stable mode analysis result of previous operation of power networks state, adopt formula (1) calculating generator to the stable factor of influence of electrical network microvariations.
G s . i = 1 + Σ j = 1 m p a , ij ( σ - σ j ) σ - - - ( 1 )
Wherein, σ is the damping ratio threshold value that is used for filtering out from all low frequency oscillation modes serious relatively pattern, and m is the pattern count of damping ratio less than σ, σ jBe the damping ratio of j pattern, p A.ijIt is the participation factors of generator i in j the pattern.
2),, adopt formula (2) to calculate the factor of influence of bus to static voltage stability according to the static voltage stability pattern analysis result of previous operation of power networks state for static voltage stability.
B s . i = 1 + Σ j = 1 n p v . ij ( λ - λ j ) λ - - - ( 2 )
Wherein, λ is the characteristic value threshold value that is used for filtering out from all voltage stable modes serious relatively pattern, and n is the pattern count of characteristic value less than λ, λ jBe the characteristic value of j pattern, p V.ijIt is the participation factors of j pattern median generatrix i.
3) for transient state angle stability and transient voltage safe and stable, transient state angle stability nargin, pattern and transient voltage safe and stable nargin, the pattern of each forecast failure of the previous operation of power networks state of foundation adopt formula (3) and (4) calculating generator and the bus factor of influence to the electrical network transient safe and stable respectively.
G t . i = 1 + Σ j = 1 k | q a . ij | ( η a - η a . j ) η a - - - ( 3 )
B t . i = 1 + Σ j = 1 l q v , ij ( η v - η v . j ) η v - - - ( 4 )
Wherein, η aFor being used for filtering out from all forecast failures the stability margin threshold value of the relative catastrophe failure of transient state angle stability, k is that transient state angle stability nargin is less than η aThe forecast failure number, η A.jBe the transient state angle stability nargin (1≤η after the fault j generation A.j≤ 1, η A.j<0 expression merit angle unstability, η A.j=0 expression merit angle neutrality, η A.j>0 expression angle stability), q A.ijBe the participation factors of generator i in the transient state angle stability pattern of fault j (participation factors of critical mass-sending motor for just, the participation factors of remaining mass-sending motor is for negative); η vFor being used for filtering out from all forecast failures the safety and stability nargin threshold value of the relative catastrophe failure of transient voltage safe and stable, l is that transient voltage safe and stable nargin is less than η vThe forecast failure number, η V.jTransient voltage safe and stable nargin (1≤η of back bus i takes place for fault j V.j≤ 1, η V.jDangerous or the unstability of<0 expression voltage, η V.j=0 expression voltage critical safety and stability, η V.j>0 expression voltage security is stable), q V.ijParticipation factors for the transient voltage safe and stable pattern median generatrix i of fault j.
What step 3 was described among Fig. 1 is the state estimation of the Intranet section being carried out being stabilized in towards intranet security line analysis, promptly the state estimation algorithm of Intranet is made amendment, adopt generator and bus the factor of influence of electricity net safety stable to be come the weights of correction measurement, promptly in the residual equation of state estimation, for generator measurement amount weights, adopt (k sG S.i+ k tG T.i) and reflect that the product of the weights of error in measurement replaces, for bus measurement amount weights, adopt (l sB S.i+ l tB T.i) replace k wherein with the product of weights of reflection error in measurement s, k t, l sAnd l tIt is set point.Again Intranet is carried out state estimation and calculate, can obtain being used for the Intranet profile data of safety and stability online analysis;
What step 4 was described among Fig. 1 is that the outer net section is carried out being stabilized in optimizing and revising of line analysis towards intranet security, promptly in being optimized the target function of adjustment, the profile data to outer net takes into account generator, bus factor of influence to electricity net safety stable, formula (5) is the meritorious model of optimizing and revising of outer net profile data, and the idle work optimization adjustment model is similar with it.
Figure GSA00000087216400071
Wherein, M is the adjustable generator number of outer net, Δ P iBe the meritorious adjustment amount of generator, N is the deferrable load bus number of outer net, Δ P jBe the meritorious adjustment amount of load, C KiBe of the meritorious sensitivity of i platform generator to k bar interconnection, C KjBe of the meritorious sensitivity of j load to k bar interconnection, Δ P L.kMeritorious poor of corresponding interconnection before to be that k bar Intranet interconnection is meritorious adjust with the outer net profile data, L is the number of inside and outside net interconnection.Adopt the quadratic programming algorithm computation to go out gaining merit and the reactive power adjustment amount of generator and load, and outer net section primary data is made amendment, promptly obtain being stabilized in the outer net profile data of line analysis towards intranet security.
Step 5 is described among Fig. 1 be internally, the net profile data carries out being stabilized in towards intranet security the merging of line analysis, promptly the inside and outside net profile data that is stabilized in line analysis towards intranet security that step 3) and step 4) are obtained lumps together, and will be used for the balancing machine that the whole network trend calculates and be arranged on outer net, then be met the whole network section tidal current data that intranet security is stabilized in line analysis.

Claims (5)

1. be used for the section data integration method of power system safety and stability online analysis, may further comprise the steps:
1), calculates generator, bus factor of influence respectively to electricity net safety stable according to the safety and stability nargin and the pattern of previous operation of power networks state;
2) for the electrical network of a certain control centre administration in the interconnected network, promptly Intranet adopts generator and bus that the factor of influence of electricity net safety stable is come the weights of correction measurement, carries out state estimation, obtains being used for the Intranet profile data of safety and stability online analysis;
3) for the outer electrical network of this control centre's administration, it is outer net, by revising generator output and load in the outer net, the trend of guaranteeing the interconnection between the inside and outside net is consistent with the Intranet trend, and take into account the generator output behind generator, the bus factor of influence and the adjustment amount minimum of load, obtain adjusted outer net profile data;
4) inside and outside net profile data is lumped together, and will be used for the balancing machine that trend calculates and be arranged on outer net, then be met the section tidal current data that intranet security is stabilized in line analysis.
2. the section data integration method that is used for power system safety and stability online analysis according to claim 1 is characterized in that step 1) generator and bus comprise the calculation procedure of the factor of influence of electricity net safety stable;
Stable for microvariations, according to the microvariations stable mode analysis result of previous operation of power networks state, adopt formula (1) calculating generator to the stable factor of influence of electrical network microvariations;
G s . i = 1 + Σ j = 1 m p a . ij ( σ - σ j ) σ - - - ( 1 )
Wherein, σ is the damping ratio threshold value that is used for filtering out from all low frequency oscillation modes serious relatively pattern, and m is the pattern count of damping ratio less than σ, σ jBe the damping ratio of j pattern, p A.ijIt is the participation factors of generator i in j the pattern;
For static voltage stability,, adopt formula (2) to calculate the factor of influence of bus to static voltage stability according to the static voltage stability pattern analysis result of previous operation of power networks state;
B s . i = 1 + Σ j = 1 n p v . ij ( λ - λ j ) λ - - - ( 2 )
Wherein, λ is the characteristic value threshold value that is used for filtering out from all voltage stable modes serious relatively pattern, and n is the pattern count of characteristic value less than λ, λ jBe the characteristic value of j pattern, p V.ijIt is the participation factors of j pattern median generatrix i;
For transient state angle stability and transient voltage safe and stable, transient state angle stability nargin, pattern and transient voltage safe and stable nargin, the pattern of each forecast failure of the previous operation of power networks state of foundation adopt formula (3) and (4) calculating generator and the bus factor of influence to the electrical network transient safe and stable respectively;
G t . i = 1 + Σ j = 1 k | q a , ij | ( η a - η a . j ) η a - - - ( 3 )
B t . i = 1 + Σ j = 1 l q v , ij ( η v - η v , j ) η v - - - ( 4 )
Wherein, η aFor being used for filtering out from all forecast failures the stability margin threshold value of the relative catastrophe failure of transient state angle stability, k is that transient state angle stability nargin is less than η aThe forecast failure number, η A.jBe the transient state angle stability nargin after the fault j generation, wherein ,-1≤η A.j≤ 1, η A.j<0 expression merit angle unstability, η A.j=0 expression merit angle neutrality, η A.j>0 expression angle stability, q A.ijBe the participation factors of generator i in the transient state angle stability pattern of fault j, the participation factors of wherein critical mass-sending motor is for just, and the participation factors of remaining mass-sending motor is for negative; η vFor being used for filtering out from all forecast failures the safety and stability nargin threshold value of the relative catastrophe failure of transient voltage safe and stable, l is that transient voltage safe and stable nargin is less than η vThe forecast failure number, η V.jBe the transient voltage safe and stable nargin of fault j generation back bus i, wherein ,-1≤η V.j≤ 1, η V.jDangerous or the unstability of<0 expression voltage, η V.j=0 expression voltage critical safety and stability, η V.j>0 expression voltage security is stable, q V.ijParticipation factors for the transient voltage safe and stable pattern median generatrix i of fault j.
3. the section data integration method that is used for power system safety and stability online analysis according to claim 1, it is characterized in that, step 2) state estimation algorithm of Intranet is made amendment, adopt generator and bus the factor of influence of electricity net safety stable to be come the weights of correction measurement, promptly in the residual equation of state estimation, for generator measurement amount weights, adopt (k sG S.i+ k tG T.i) and reflect that the product of the weights of error in measurement replaces, for bus measurement amount weights, adopt (l sB S.i+ l tB T.i) replace k wherein with the product of weights of reflection error in measurement s, k t, l sAnd l tIt is set point.
4. the section data integration method that is used for power system safety and stability online analysis according to claim 1, it is characterized in that, step 3) is taken into account generator, the bus factor of influence to electricity net safety stable in the profile data to outer net is optimized the target function of adjustment, formula (5) is the meritorious model of optimizing and revising of outer net profile data, and the idle work optimization adjustment model is similar with it;
Figure FSA00000087216300031
Wherein, M is the adjustable generator number of outer net, Δ P iBe the meritorious adjustment amount of generator, N is the deferrable load bus number of outer net, Δ P jBe the meritorious adjustment amount of load, C KiBe of the meritorious sensitivity of i platform generator to k bar interconnection, C KjBe of the meritorious sensitivity of j load to k bar interconnection, Δ P L.kMeritorious poor of corresponding interconnection before to be that k bar Intranet interconnection is meritorious adjust with the outer net profile data, L is the number of inside and outside net interconnection.
5. the section data integration method that is used for power system safety and stability online analysis according to claim 1, it is characterized in that, step 4) lumps together Intranet, outer net profile data, and will be used for the balancing machine that the whole network trend calculates and be arranged on outer net, then be met the whole network section tidal current data that intranet security is stabilized in line analysis.
CN2010101521328A 2010-04-20 2010-04-20 Section data integration method for power system safety and stability online analysis Active CN101807798B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010101521328A CN101807798B (en) 2010-04-20 2010-04-20 Section data integration method for power system safety and stability online analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010101521328A CN101807798B (en) 2010-04-20 2010-04-20 Section data integration method for power system safety and stability online analysis

Publications (2)

Publication Number Publication Date
CN101807798A true CN101807798A (en) 2010-08-18
CN101807798B CN101807798B (en) 2013-01-16

Family

ID=42609456

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010101521328A Active CN101807798B (en) 2010-04-20 2010-04-20 Section data integration method for power system safety and stability online analysis

Country Status (1)

Country Link
CN (1) CN101807798B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102185316A (en) * 2011-05-24 2011-09-14 国网电力科学研究院 Conservative principle-based power system online stability analysis section data integrating method
CN102347613A (en) * 2011-09-21 2012-02-08 国网电力科学研究院 Method for automatically selecting on-line strategy and off-line strategy of transient security and stability emergency control of electrical power system
CN102361353A (en) * 2011-10-26 2012-02-22 东北电网有限公司 Method for aligning section raw data on basis of double time scale delay evaluation
CN106887836A (en) * 2015-12-16 2017-06-23 南京南瑞继保电气有限公司 The method that power network section is generated based on node authentication result
CN108629701A (en) * 2018-05-07 2018-10-09 深圳供电局有限公司 A kind of power grid multi-stage scheduling data integration method
CN109067811A (en) * 2018-10-22 2018-12-21 南京科远自动化集团股份有限公司 The method of intranet and extranet processing unit automatic identification position for physics isolation net gap
CN109462234A (en) * 2018-11-27 2019-03-12 国家电网有限公司 Interconnection extended area method for estimating state and device
CN110707730A (en) * 2019-11-01 2020-01-17 东北电力大学 Low-frequency oscillation regulation and control method for grid-connected power system of double-fed fan
CN113346537A (en) * 2021-04-27 2021-09-03 国网河北省电力有限公司电力科学研究院 Active rescheduling method and device and terminal equipment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6476521B1 (en) * 2000-05-31 2002-11-05 Abb Ab Power oscillation protection
EP1737098A1 (en) * 2005-06-24 2006-12-27 Abb Research Ltd. Damping electromagnetic oscillations in power system
CN101640418A (en) * 2009-09-03 2010-02-03 国网电力科学研究院 Identification method of transient state stable key transmission cross-section of electric power system fault
CN101673948A (en) * 2009-09-28 2010-03-17 国网电力科学研究院 N-2 combined fault quick sequencing method for transient stability analysis of electric power system
CN101694940A (en) * 2009-10-23 2010-04-14 国网电力科学研究院 Optimal power flow implementation method considering transient security constraints

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6476521B1 (en) * 2000-05-31 2002-11-05 Abb Ab Power oscillation protection
EP1737098A1 (en) * 2005-06-24 2006-12-27 Abb Research Ltd. Damping electromagnetic oscillations in power system
CN101640418A (en) * 2009-09-03 2010-02-03 国网电力科学研究院 Identification method of transient state stable key transmission cross-section of electric power system fault
CN101673948A (en) * 2009-09-28 2010-03-17 国网电力科学研究院 N-2 combined fault quick sequencing method for transient stability analysis of electric power system
CN101694940A (en) * 2009-10-23 2010-04-14 国网电力科学研究院 Optimal power flow implementation method considering transient security constraints

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102185316A (en) * 2011-05-24 2011-09-14 国网电力科学研究院 Conservative principle-based power system online stability analysis section data integrating method
CN102347613A (en) * 2011-09-21 2012-02-08 国网电力科学研究院 Method for automatically selecting on-line strategy and off-line strategy of transient security and stability emergency control of electrical power system
CN102347613B (en) * 2011-09-21 2015-05-13 国电南瑞科技股份有限公司 Method for automatically selecting on-line strategy and off-line strategy of transient security and stability emergency control of electrical power system
CN102361353A (en) * 2011-10-26 2012-02-22 东北电网有限公司 Method for aligning section raw data on basis of double time scale delay evaluation
CN106887836B (en) * 2015-12-16 2019-06-21 南京南瑞继保电气有限公司 The method for generating power grid section based on node authentication result
CN106887836A (en) * 2015-12-16 2017-06-23 南京南瑞继保电气有限公司 The method that power network section is generated based on node authentication result
CN108629701A (en) * 2018-05-07 2018-10-09 深圳供电局有限公司 A kind of power grid multi-stage scheduling data integration method
CN108629701B (en) * 2018-05-07 2022-03-18 深圳供电局有限公司 Power grid multistage scheduling data integration method
CN109067811A (en) * 2018-10-22 2018-12-21 南京科远自动化集团股份有限公司 The method of intranet and extranet processing unit automatic identification position for physics isolation net gap
CN109067811B (en) * 2018-10-22 2021-04-20 南京科远智慧科技集团股份有限公司 Method for automatically identifying position of internal and external network processing unit for physical isolation network gate
CN109462234A (en) * 2018-11-27 2019-03-12 国家电网有限公司 Interconnection extended area method for estimating state and device
CN109462234B (en) * 2018-11-27 2022-05-24 国家电网有限公司 Method and device for estimating state of tie line extension area
CN110707730A (en) * 2019-11-01 2020-01-17 东北电力大学 Low-frequency oscillation regulation and control method for grid-connected power system of double-fed fan
CN110707730B (en) * 2019-11-01 2022-06-28 东北电力大学 Low-frequency oscillation regulation and control method for grid-connected power system of double-fed fan
CN113346537A (en) * 2021-04-27 2021-09-03 国网河北省电力有限公司电力科学研究院 Active rescheduling method and device and terminal equipment
CN113346537B (en) * 2021-04-27 2023-08-08 国网河北省电力有限公司电力科学研究院 Active power rescheduling method and device and terminal equipment

Also Published As

Publication number Publication date
CN101807798B (en) 2013-01-16

Similar Documents

Publication Publication Date Title
CN101807798B (en) Section data integration method for power system safety and stability online analysis
CN102420427B (en) Method for calculating voltage stability margin of regional power grid by considering outer network equivalence
CN101964525B (en) Method for estimating state of distribution network for supporting large-scale current measurement
CN105048468B (en) Power transmission-distribution network integrating voltage stability assessment method based on distributed calculation
CN103487698B (en) A kind of failure analysis methods of distributed power source access power distribution network
CN108183512A (en) A kind of reliability estimation method for the electric system for accessing new energy
CN106844952A (en) Based on the generator dynamic state estimator method without mark Particle filtering theory
CN105207204B (en) One kind meter and the probabilistic Probabilistic Load Flow analysis method of primary frequency modulation
CN102185316B (en) Conservative principle-based power system online stability analysis section data integrating method
CN109494724B (en) LU decomposition-based large power grid Thevenin equivalent parameter online identification method
CN103870703A (en) Dynamic short-circuit ratio calculation method based on Thevenin equivalent parameter tracking
CN104767199B (en) Directional control method for cut set cross section load flow in electric power system
CN106443246A (en) Online identification method of small-disturbance stability parameters based on PMU measurement data
CN106655190A (en) Method for solving P-OPF (Probabilistic-Optimal Power Flow) of wind power stations
CN105305439A (en) Probability dynamic power flow computing method and system in view of input variable correlation
CN102904519B (en) Robust excitation system parameter identification method based on exponential-type target function
CN107069716A (en) A kind of robust real-time scheduling method counted and inject transfer distribution factor evaluated error
CN103455716A (en) Ultra-short-term wind power prediction-based voltage stability margin calculation method for power system
CN102510060B (en) Computing method of frequency characteristic coefficient of electric system
CN106410825A (en) Method for prediction of electrical power system electromechanical oscillation mode after accessing multi-port direct current system
CN103887800B (en) Based on the voltage on-line coordination control method of energy margin constraint
CN101789607B (en) Computing method for improving small signal stability and providing aid decision making
CN106532785A (en) Load frequency control method of considering novel cloud model
CN104240151A (en) Transient stability optimal correcting and control system and method for power system
CN103514363B (en) A kind of electric power networks back-up protection on-line tuning method based on increment factor

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
ASS Succession or assignment of patent right

Free format text: FORMER OWNER: NANJING NARI CO., LTD.

Effective date: 20130308

Owner name: NANJING NARI CO., LTD.

Free format text: FORMER OWNER: STATE GRID ELECTRIC POWER RESEARCH INSITITUTE

Effective date: 20130308

C41 Transfer of patent application or patent right or utility model
TR01 Transfer of patent right

Effective date of registration: 20130308

Address after: Nan Shui Road Gulou District of Nanjing city of Jiangsu Province, No. 8 210003

Patentee after: Nanjing Nari Co., Ltd.

Address before: Nan Shui Road Gulou District of Nanjing city of Jiangsu Province, No. 8 210003

Patentee before: State Grid Electric Power Research Insititute

Patentee before: Nanjing Nari Co., Ltd.

ASS Succession or assignment of patent right

Owner name: NARI TECHNOLOGY DEVELOPMENT CO., LTD.

Free format text: FORMER OWNER: NANJING NARI CO., LTD.

Effective date: 20140107

C41 Transfer of patent application or patent right or utility model
COR Change of bibliographic data

Free format text: CORRECT: ADDRESS; FROM: 210003 NANJING, JIANGSU PROVINCE TO: 210061 NANJING, JIANGSU PROVINCE

TR01 Transfer of patent right

Effective date of registration: 20140107

Address after: 210061 D10, Nanjing high tech Industrial Development Zone, Jiangsu, China

Patentee after: NARI Technology Development Co., Ltd.

Address before: Nan Shui Road Gulou District of Nanjing city of Jiangsu Province, No. 8 210003

Patentee before: Nanjing Nari Co., Ltd.