CA2548096A1 - Method of super super decoupled loadflow computation for electrical power system - Google Patents
Method of super super decoupled loadflow computation for electrical power system Download PDFInfo
- Publication number
- CA2548096A1 CA2548096A1 CA 2548096 CA2548096A CA2548096A1 CA 2548096 A1 CA2548096 A1 CA 2548096A1 CA 2548096 CA2548096 CA 2548096 CA 2548096 A CA2548096 A CA 2548096A CA 2548096 A1 CA2548096 A1 CA 2548096A1
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- power
- network
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- transformer
- loadflow
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- 238000000034 method Methods 0.000 title claims abstract 14
- 239000011159 matrix material Substances 0.000 claims abstract 5
- 230000009466 transformation Effects 0.000 claims abstract 3
- 230000005284 excitation Effects 0.000 claims 9
- 238000004364 calculation method Methods 0.000 claims 2
- 230000000977 initiatory effect Effects 0.000 claims 1
- 238000002347 injection Methods 0.000 claims 1
- 239000007924 injection Substances 0.000 claims 1
- 238000010248 power generation Methods 0.000 claims 1
- 239000004576 sand Substances 0.000 claims 1
- 238000004088 simulation Methods 0.000 claims 1
- 239000000243 solution Substances 0.000 claims 1
- 230000001133 acceleration Effects 0.000 abstract 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security
Abstract
A method of performing loadflow computations for controlling voltages and power flow in a power network by reading on-line data of given/specified/scheduled/set network variables/parameters and using control means, so that no component of the power network is overloaded as well as there is no over/under voltage at any nodes in the network following a small or large disturbances. The invented generalized Super Super Decoupled Loadflow (SSDL) computation method is characterized in that 1) modified real power mismatch at any PQ-node-p is calculated as RP p =[.DELTA.P p' +(G pp'/ B pp').DELTA.Q p'] / V p 2, which takes different form for different manifestation of the generalized version SSDL-X'X' method, 2) transformed values of known/given/specified/scheduled/set quantities in the diagonal elements of the gain matrix [YV]
of the Q-V sub-problem are present, and 3) transformation angles are restricted to maximum of -48° particularly for the most successful version SSDL-YY method, and these inventive loadflow computation steps together yield some processing acceleration and consequent efficiency gains, and are each individually inventive. The other two Super Super Decoupled Loadflow methods:
BGX' version (SSDL-BGX') and X'G pv X' version (SSDL-X'GpvX') are characterized in the use of simultaneous (1V, 1.theta.) iteration scheme thereby calculating mismatches only once in each iteration and consequent efficiency gain.
of the Q-V sub-problem are present, and 3) transformation angles are restricted to maximum of -48° particularly for the most successful version SSDL-YY method, and these inventive loadflow computation steps together yield some processing acceleration and consequent efficiency gains, and are each individually inventive. The other two Super Super Decoupled Loadflow methods:
BGX' version (SSDL-BGX') and X'G pv X' version (SSDL-X'GpvX') are characterized in the use of simultaneous (1V, 1.theta.) iteration scheme thereby calculating mismatches only once in each iteration and consequent efficiency gain.
Claims (9)
1. A method of. controlling voltages and power flows in a power network, comprising the steps of:
Obtaining on-line/simulated data of open/close status of switches and circuit breakers in the power network, obtaining on-line readings of real and reactive power assignments or settings at PQ-nodes, real power and voltage magnitude assignments or settings at PV-nodes and transformer turns ratios, which are the controlled variables/parameters, performing loadflow computation by a decoupled loadflow method employing successive (1.theta., 1V) or simultaneous (1v, 1.theta.) iteration scheme to calculate values of the voltage angle and the voltage magnitudes at PQ-nodes, voltage angle and reactive power generation at PV-nodes, and tap positions of tap-changing transformers for said obtained online readings, or specified/set values, of controlled variables/parameters by using triangular factorization of super or alternatively transformed decoupled gain matrices that are defined independent of rotation angles applied to complex branch admittances by using admittance magnitudes with the same algebraic signs as those of the transformed susceptance values, initiating said loadflow computation with guess solution of the same voltage magnitude and angle as those of the slack or reference node referred to as slack start, evaluating the computed loadflow for any of the over loaded power network components and for under/over voltage at any of the network nodes, correcting one or more controlled parameters and repeating the computing and evaluating steps until evaluating step finds no over loaded components and no under/over voltages in the power network, and effecting a change in the power flowing through network components and voltage magnitudes and angles at the nodes of the power network by actually implementing the finally obtained values of controlled parameters after evaluating step finds a good power system or alternatively a power network without any overloaded components and under/over voltages, which finally obtained controlled parameters however are stored in case of simulation for acting upon fast in case the simulated event actually occurs.
Obtaining on-line/simulated data of open/close status of switches and circuit breakers in the power network, obtaining on-line readings of real and reactive power assignments or settings at PQ-nodes, real power and voltage magnitude assignments or settings at PV-nodes and transformer turns ratios, which are the controlled variables/parameters, performing loadflow computation by a decoupled loadflow method employing successive (1.theta., 1V) or simultaneous (1v, 1.theta.) iteration scheme to calculate values of the voltage angle and the voltage magnitudes at PQ-nodes, voltage angle and reactive power generation at PV-nodes, and tap positions of tap-changing transformers for said obtained online readings, or specified/set values, of controlled variables/parameters by using triangular factorization of super or alternatively transformed decoupled gain matrices that are defined independent of rotation angles applied to complex branch admittances by using admittance magnitudes with the same algebraic signs as those of the transformed susceptance values, initiating said loadflow computation with guess solution of the same voltage magnitude and angle as those of the slack or reference node referred to as slack start, evaluating the computed loadflow for any of the over loaded power network components and for under/over voltage at any of the network nodes, correcting one or more controlled parameters and repeating the computing and evaluating steps until evaluating step finds no over loaded components and no under/over voltages in the power network, and effecting a change in the power flowing through network components and voltage magnitudes and angles at the nodes of the power network by actually implementing the finally obtained values of controlled parameters after evaluating step finds a good power system or alternatively a power network without any overloaded components and under/over voltages, which finally obtained controlled parameters however are stored in case of simulation for acting upon fast in case the simulated event actually occurs.
2. A method as defined in claim-1 wherein said decoupled loadflow computation, employing successive (1.theta., 1V) iteration scheme, is characterized in:
using computation of variables representing quotients of transformed discrepancies from specified values of real power flowing in through PQ-nodes divided by squared voltage magnitude and quotients of discrepancies from specified values of real power flowing in through PV-nodes of the power network divided by a multiplication of squared voltage magnitude and a factor determined as the absolute value of the ratio of a diagonal element of susceptance matrix to a corresponding diagonal element of said super decoupled gain matrix derived from Jacobian matrix for real power residue divided by squared voltage magnitude or simply the voltage magnitude with respect to the voltage angle, and using the transformed reactive power discrepancies from the specified values divided by voltage magnitude on each of the PQ-nodes, and restricting nodal transformation or alternatively rotation angle to maximum -degrees, which can be turned for the best possible convergence for any given system, applied to complex power injection in computing transformed discrepancies from specified values of real and reactive power flowing in through each of PQ-nodes, and using network shunt parameter b p' that appears in diagonal elements of gain matrix [YV] as given in the following relations:
b p' = (QSH p'/ V s2) - b p Cos.PHI.p or b p' = 2QSH p'/ V s2 (38) QSH p' = QSH p Cos.PHI.p - PSH p Sin.PHI.p -for PQ-nodes (26)
using computation of variables representing quotients of transformed discrepancies from specified values of real power flowing in through PQ-nodes divided by squared voltage magnitude and quotients of discrepancies from specified values of real power flowing in through PV-nodes of the power network divided by a multiplication of squared voltage magnitude and a factor determined as the absolute value of the ratio of a diagonal element of susceptance matrix to a corresponding diagonal element of said super decoupled gain matrix derived from Jacobian matrix for real power residue divided by squared voltage magnitude or simply the voltage magnitude with respect to the voltage angle, and using the transformed reactive power discrepancies from the specified values divided by voltage magnitude on each of the PQ-nodes, and restricting nodal transformation or alternatively rotation angle to maximum -degrees, which can be turned for the best possible convergence for any given system, applied to complex power injection in computing transformed discrepancies from specified values of real and reactive power flowing in through each of PQ-nodes, and using network shunt parameter b p' that appears in diagonal elements of gain matrix [YV] as given in the following relations:
b p' = (QSH p'/ V s2) - b p Cos.PHI.p or b p' = 2QSH p'/ V s2 (38) QSH p' = QSH p Cos.PHI.p - PSH p Sin.PHI.p -for PQ-nodes (26)
3. A method as defined in claim-1 wherein said decoupled loadflow computations, employing simultaneous (1V, 1.theta.) iteration scheme are characterized in that they involve only one time calculation of real and reactive power residues in an iteration along with modified real power residue calculation, depending on decoupled loadflow computation method used, either by:
-for PQ-nodes & PV-nodes (71) or RP p = {[.DELTA.P p' + (G pp'/ B pp').DELTA.Q p'] / V p2} - (g p' .DELTA.V p) -for PQ-nodes (85)
-for PQ-nodes & PV-nodes (71) or RP p = {[.DELTA.P p' + (G pp'/ B pp').DELTA.Q p'] / V p2} - (g p' .DELTA.V p) -for PQ-nodes (85)
4. A simple system for controlling generator and transformer voltages of the more elaborate system of security control or alternatively voltage and power flow control defined in claim-1 can be realized in an electrical power utility containing plurality of electromechanical rotating machines, transformers and electrical loads connected in a network, each machine having a reactive power characteristic and an excitation element which is controllable for adjusting the reactive power generated or absorbed by the machine, and some of the transformers each having a tap changing element which is controllable for adjusting turns ratio or alternatively terminal voltage of the transformer, said system comprising:
means defining one the loadflow computation models characterised in claim-1, claim-2, and claim-3 for providing an indication of the quantity of reactive power to be supplied by generators including the reference generator node or alternatively the slack generator node, and for providing an indication of transformer tap positions or alternatively transformer turns ratios in dependence on the read online/specified/set controlled network variables/parameters, machine control means connected to the said loadflow computation model means and to the excitation elements of the rotating machines for controlling the operation of the excitation elements of machines to produce or absorb the amount of reactive pawer indicated by said loadflow computation model means with respect to the set of read online/specified/set controlled network variables/parameters including physical limits of excitation elements, transformer tap position control means connected to the said loadflow computation model means and to the tap changing elements of the controllable transformers for controlling the operation of the tap changing elements to adjust the turns ratios of transformers indicated by the said loadflow computation. model means with respect to the set of read online/specified/set controlled network variables/parameters including limits of the tap-changing elements.
means defining one the loadflow computation models characterised in claim-1, claim-2, and claim-3 for providing an indication of the quantity of reactive power to be supplied by generators including the reference generator node or alternatively the slack generator node, and for providing an indication of transformer tap positions or alternatively transformer turns ratios in dependence on the read online/specified/set controlled network variables/parameters, machine control means connected to the said loadflow computation model means and to the excitation elements of the rotating machines for controlling the operation of the excitation elements of machines to produce or absorb the amount of reactive pawer indicated by said loadflow computation model means with respect to the set of read online/specified/set controlled network variables/parameters including physical limits of excitation elements, transformer tap position control means connected to the said loadflow computation model means and to the tap changing elements of the controllable transformers for controlling the operation of the tap changing elements to adjust the turns ratios of transformers indicated by the said loadflow computation. model means with respect to the set of read online/specified/set controlled network variables/parameters including limits of the tap-changing elements.
5. A system as defined in claim 4 wherein the power network includes a plurality of nodes each connected to at least one of: a reference generator; a rotating machine; and an electrical, load; and the said loadflow computation model means receives representations of selected values of the real, and reactive power flow from each machine and to each load, anal the model is operative for producing calculated values for the reactive power quantity to be produced or absorbed by each, machine.
6. A system as defined in claim 5 wherein the power network further has at least one transformer having an adjustable transformer turns ratio, and said means defining a loadflow computation model is further operative for producing a calculated value of the transformer transformation/turns ratio.
7. A system as defined in claim 4 wherein said machine control means are connected to said excitation element of each. machine for controlling the operation of the excitation element of each machine, and wherein sand transformer turns ratio control means are connected to said transformer tap changing element of each transformer for controlling the operation of the tap changing element of each transformer.
8 A method for controlling generator and transformer voltages in an electrical power utility containing plurality of electromechanical rotating machines, transformers and electrical loads connected in a network, each machi:n.c having a reactive power characteristic and excitation element which is controllable for adjusting the reactive power generated or absorbed by the machine, and some of the transformers each having tap changing element which is controllable for adjusting turns ratio or alternatively terminal voltage of the transformer, said method comprising:
creating any of the said decoupled loadflow computation models of the network defined in claim-1, claim-2 and claim-3 for providing an indication of the transformer tap positions and the quantity of reactive power to be supplied by the generators in dependence on read online/specified/set controlled network variables/parameters, controlling the operation of the excitation elements of machines to produce or absorb the amount of reactive power, and controlling tap changing elements of transformers to control voltages of the connected nodes by transformer turns ratio indicated by any of the said decoupled loadflow computation models defined in claim-1, claim-2 and claim-3 with respect to the read online/specified/set controlled variable/parameters.
creating any of the said decoupled loadflow computation models of the network defined in claim-1, claim-2 and claim-3 for providing an indication of the transformer tap positions and the quantity of reactive power to be supplied by the generators in dependence on read online/specified/set controlled network variables/parameters, controlling the operation of the excitation elements of machines to produce or absorb the amount of reactive power, and controlling tap changing elements of transformers to control voltages of the connected nodes by transformer turns ratio indicated by any of the said decoupled loadflow computation models defined in claim-1, claim-2 and claim-3 with respect to the read online/specified/set controlled variable/parameters.
9. A method as defined in claim 8 wherein said step of controlling is carried out to control the excitation element of each machine, and to control the tap-changing element of each controllable transformer.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CA 2400580 CA2400580A1 (en) | 2002-09-03 | 2002-09-03 | Systems of advanced super decoupled load-flow computation for electrical power system |
| PCT/CA2003/001312 WO2004023622A2 (en) | 2002-09-03 | 2003-08-29 | System of super super decoupled loadflow computation for electrical power system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA2548096A1 true CA2548096A1 (en) | 2004-03-18 |
| CA2548096C CA2548096C (en) | 2011-07-05 |
Family
ID=31954501
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA 2400580 Abandoned CA2400580A1 (en) | 2002-09-03 | 2002-09-03 | Systems of advanced super decoupled load-flow computation for electrical power system |
| CA 2548096 Expired - Lifetime CA2548096C (en) | 2002-09-03 | 2003-08-29 | Method of super super decoupled loadflow computation for electrical power system |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA 2400580 Abandoned CA2400580A1 (en) | 2002-09-03 | 2002-09-03 | Systems of advanced super decoupled load-flow computation for electrical power system |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US7769497B2 (en) |
| EP (1) | EP1661224A2 (en) |
| AU (1) | AU2003260221B2 (en) |
| CA (2) | CA2400580A1 (en) |
| WO (1) | WO2004023622A2 (en) |
Families Citing this family (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2400580A1 (en) * | 2002-09-03 | 2004-03-03 | Sureshchandra B. Patel | Systems of advanced super decoupled load-flow computation for electrical power system |
| US8849614B2 (en) | 2002-11-06 | 2014-09-30 | Gridquant, Inc. | System and method for monitoring and managing three-phase power flows in electrical transmission and distribution networks |
| US20040153303A1 (en) * | 2002-12-30 | 2004-08-05 | Le Tang | Efficient process for time dependent network model in an energy market simulation system |
| CA2479603A1 (en) * | 2004-10-01 | 2006-04-01 | Sureshchandra B. Patel | Sequential and parallel loadflow computation for electrical power system |
| CN100370389C (en) * | 2004-11-04 | 2008-02-20 | 哈尔滨工业大学 | Power supply network voltage reactive-load remote control real-time optimization control method |
| KR101043572B1 (en) * | 2009-08-10 | 2011-06-22 | 한국전력공사 | Distribution Automation System and its voltage control method for reactive power compensation |
| US8756047B2 (en) * | 2010-09-27 | 2014-06-17 | Sureshchandra B Patel | Method of artificial nueral network loadflow computation for electrical power system |
| CN102255322B (en) * | 2011-07-15 | 2013-01-30 | 广东电网公司电力科学研究院 | Method for interactively iterative control of voltage reactive power of regional power grid |
| CN102722594B (en) * | 2011-11-29 | 2014-09-17 | 中国南方电网有限责任公司 | Method for integrating offline mode data and state estimation data |
| US9640994B2 (en) * | 2012-02-24 | 2017-05-02 | Mitsubishi Electric Research Laboratories, Inc. | Decoupled three-phase power flow analysis method for unbalanced power distribution systems |
| US9563722B2 (en) * | 2012-11-13 | 2017-02-07 | Gridquant, Inc. | Sigma algebraic approximants as a diagnostic tool in power networks |
| US9450409B2 (en) * | 2013-06-20 | 2016-09-20 | Abb Research Ltd. | Converter station power set point analysis system and method |
| CN103441495B (en) * | 2013-08-28 | 2015-07-29 | 三川电力设备股份有限公司 | The discrimination method of power system component parameter and corrected coefficient of power and system |
| US9548607B2 (en) * | 2014-07-31 | 2017-01-17 | Oren Meiri | System and method for monitoring and controlling electrical network |
| US11853384B2 (en) | 2014-09-22 | 2023-12-26 | Sureshchandra B. Patel | Methods of patel loadflow computation for electrical power system |
| US20180048151A1 (en) * | 2014-09-22 | 2018-02-15 | Sureshchandra B. Patel | Methods of Patel Loadflow Computation for Electrical Power System |
| US10197606B2 (en) | 2015-07-02 | 2019-02-05 | Aplicaciones En Informática Avanzada, S.A | System and method for obtaining the powerflow in DC grids with constant power loads and devices with algebraic nonlinearities |
| WO2018009837A1 (en) * | 2016-07-07 | 2018-01-11 | University Of Hawai'i | Dynamic reactive compensation |
| CN109217295B (en) * | 2018-09-20 | 2020-05-29 | 吉林大学 | Load flow sensitivity calculation method for preventing system overload and computer device |
| CN109858061B (en) * | 2018-11-13 | 2023-06-30 | 天津大学 | Power distribution network equivalence and simplification method for voltage power sensitivity estimation |
| CN110518591B (en) * | 2019-08-22 | 2021-06-15 | 中国农业大学 | Load flow calculation method for uncertain power system |
| CN111523800B (en) * | 2020-04-22 | 2023-03-31 | 中车株洲电力机车研究所有限公司 | Rapid calculation method for node conductance matrix in subway load flow calculation |
| CN113809749B (en) * | 2021-08-31 | 2024-01-23 | 西安理工大学 | Method for optimizing particle swarm of MG based on virtual impedance and comprising droop control DG |
| CN114243690A (en) * | 2021-12-15 | 2022-03-25 | 国网河北省电力有限公司 | Power grid active safety correction method and device, electronic equipment and storage medium |
| CN114204560A (en) * | 2021-12-15 | 2022-03-18 | 国网上海市电力公司 | Medium voltage distribution network line parameter identification method |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4868410A (en) * | 1986-09-10 | 1989-09-19 | Mitsubishi Denki Kabushiki Kaisha | System of load flow calculation for electric power system |
| JPH0785623B2 (en) * | 1989-02-01 | 1995-09-13 | 三菱電機株式会社 | Power system voltage stability determination system |
| US5081591A (en) * | 1990-02-28 | 1992-01-14 | Westinghouse Electric Corp. | Optimizing reactive power distribution in an industrial power network |
| JPH04112619A (en) * | 1990-09-03 | 1992-04-14 | Hitachi Ltd | Distribution line interrupting method, interrupter and using method thereof |
| US5566085A (en) * | 1992-09-24 | 1996-10-15 | Hydro-Quebec | Stability transfer limit calculation in a power transmission network |
| CA2107388C (en) * | 1993-11-09 | 2011-07-05 | Sureshchandra B. Patel | Method of fast super decoupled loadflow computation for electrical power system |
| JPH09512699A (en) * | 1994-04-29 | 1997-12-16 | ミシガン ステイト ユニヴァーシティー | How to improve the certainty of voltage stability of a transmission system |
| US6313752B1 (en) * | 1998-05-21 | 2001-11-06 | Steven P. Corrigan | System for displaying dynamic on-line operating conditions of an interconnected power transmission network |
| CA2259055A1 (en) * | 1999-01-14 | 2000-07-14 | Franco Poletti | Load power reduction control and supply system |
| DE60041385D1 (en) * | 2000-03-10 | 2009-03-05 | Abb Schweiz Ag | Method and device for assessing the stability of an electrical energy supply network |
| DE10013037A1 (en) * | 2000-03-17 | 2001-10-18 | Siemens Ag | Method for projecting an electrical system and projecting device |
| US6917124B2 (en) * | 2000-10-27 | 2005-07-12 | Liebert Corporation | Uninterruptible power supply |
| ATE271274T1 (en) * | 2000-12-01 | 2004-07-15 | Abb Schweiz Ag | METHOD AND DEVICE FOR EVALUATION OF THE STABILITY OF AN ENERGY TRANSMISSION SYSTEM |
| DE60144367D1 (en) * | 2001-05-21 | 2011-05-19 | Abb Research Ltd | Stability prediction for electric power grid |
| CA2400580A1 (en) * | 2002-09-03 | 2004-03-03 | Sureshchandra B. Patel | Systems of advanced super decoupled load-flow computation for electrical power system |
| US7519506B2 (en) * | 2002-11-06 | 2009-04-14 | Antonio Trias | System and method for monitoring and managing electrical power transmission and distribution networks |
| CA2479603A1 (en) * | 2004-10-01 | 2006-04-01 | Sureshchandra B. Patel | Sequential and parallel loadflow computation for electrical power system |
-
2002
- 2002-09-03 CA CA 2400580 patent/CA2400580A1/en not_active Abandoned
-
2003
- 2003-08-29 CA CA 2548096 patent/CA2548096C/en not_active Expired - Lifetime
- 2003-08-29 US US10/570,023 patent/US7769497B2/en not_active Expired - Fee Related
- 2003-08-29 AU AU2003260221A patent/AU2003260221B2/en not_active Ceased
- 2003-08-29 EP EP03793529A patent/EP1661224A2/en not_active Withdrawn
- 2003-08-29 WO PCT/CA2003/001312 patent/WO2004023622A2/en active Search and Examination
Also Published As
| Publication number | Publication date |
|---|---|
| AU2003260221A1 (en) | 2004-03-29 |
| AU2003260221A8 (en) | 2004-03-29 |
| CA2548096C (en) | 2011-07-05 |
| WO2004023622B1 (en) | 2005-01-06 |
| CA2400580A1 (en) | 2004-03-03 |
| US20080281474A1 (en) | 2008-11-13 |
| US7769497B2 (en) | 2010-08-03 |
| WO2004023622A8 (en) | 2004-12-02 |
| AU2003260221B2 (en) | 2010-06-17 |
| WO2004023622A3 (en) | 2004-05-21 |
| EP1661224A2 (en) | 2006-05-31 |
| WO2004023622A2 (en) | 2004-03-18 |
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