Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410541
G. Radman, A. Pama, J. Powell, D. Gao
Fast voltage collapse is a new phenomenon in today's stressed power system. To prevent fast voltage collapse sufficient amount of compensation from dynamic reactive sources such as generator, condenser, SVC and STATCOM are needed. This paper presents a new controller (called power system voltage stabilizer or PSVS) for dynamic voltage stability enhancement of power systems and/or prevention of fast voltage collapse. The PSVS is implemented through coordinated control of dynamic reactive sources. For implementation of a PSVS, the given power system is first divided into several small voltage control areas (VCAs) each of which include several loads and several dynamic reactive sources. Then for each VCA, a dynamic voltage stability index (DSVI) is defined that includes the voltage deviations of all load buses within the area. Finally, a coordinated control of all dynamic reactive sources of the area is used to improve the dynamic voltage index during voltage emergencies. The proposed method is applied for a modified IEEE 14 - bus system and tested for severe voltage emergency. The simulation results obtained from PSS/E software package indicate significant improvement in dynamic voltage stability of the system.
{"title":"Dynamic Voltage Stability Improvement using coordinated control of dynamic VAR-sources","authors":"G. Radman, A. Pama, J. Powell, D. Gao","doi":"10.1109/IREP.2007.4410541","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410541","url":null,"abstract":"Fast voltage collapse is a new phenomenon in today's stressed power system. To prevent fast voltage collapse sufficient amount of compensation from dynamic reactive sources such as generator, condenser, SVC and STATCOM are needed. This paper presents a new controller (called power system voltage stabilizer or PSVS) for dynamic voltage stability enhancement of power systems and/or prevention of fast voltage collapse. The PSVS is implemented through coordinated control of dynamic reactive sources. For implementation of a PSVS, the given power system is first divided into several small voltage control areas (VCAs) each of which include several loads and several dynamic reactive sources. Then for each VCA, a dynamic voltage stability index (DSVI) is defined that includes the voltage deviations of all load buses within the area. Finally, a coordinated control of all dynamic reactive sources of the area is used to improve the dynamic voltage index during voltage emergencies. The proposed method is applied for a modified IEEE 14 - bus system and tested for severe voltage emergency. The simulation results obtained from PSS/E software package indicate significant improvement in dynamic voltage stability of the system.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123441430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410575
M. Ilić, J. Lang, E. Allen
In this paper we are concerned with the increased complexity facing operators when monitoring and scheduling available resources needed to serve customers without interruptions and at the reasonable costs. Historically, this task has been met by combining human expert knowledge about the specifics of the system with the results obtained by approximate numerical tools for near real-time analysis and assessment of system conditions. The emphasis in this paper is on demonstrating fundamental limits to relying on human decision making due to a highly combinatorial nature and complexity of managing reliability and economics of electricity services in today's nonlinear electric power network systems. This complexity calls for development of more accurate and quantifiable numerical methods for decision making in such systems. We illustrate the type of near-real time numerical tools essential for implementing such decisions. A comparison of the NPCC system utilization by means of current and future numerical tools is presented.
{"title":"The role of numerical tools in maintaining reliability during economic transfers An illustration using the NPCC equivalent system model","authors":"M. Ilić, J. Lang, E. Allen","doi":"10.1109/IREP.2007.4410575","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410575","url":null,"abstract":"In this paper we are concerned with the increased complexity facing operators when monitoring and scheduling available resources needed to serve customers without interruptions and at the reasonable costs. Historically, this task has been met by combining human expert knowledge about the specifics of the system with the results obtained by approximate numerical tools for near real-time analysis and assessment of system conditions. The emphasis in this paper is on demonstrating fundamental limits to relying on human decision making due to a highly combinatorial nature and complexity of managing reliability and economics of electricity services in today's nonlinear electric power network systems. This complexity calls for development of more accurate and quantifiable numerical methods for decision making in such systems. We illustrate the type of near-real time numerical tools essential for implementing such decisions. A comparison of the NPCC system utilization by means of current and future numerical tools is presented.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124674573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410537
S. Mukherjee, B. Wojszczyk
The idea of using power system models in problem solving and decision analysis is really not new, and is certainly not tied to the use of computers. At some point, all of us have used a modeling approach to make a decision. A typical decision tree is used to identify a strategy most likely to reach a goal. This paper describes two methodologies for finding optimal solutions to budgeting and planning processes with the use of decision trees. The first methodology describes Load Patterns for building better load profiles for generators that may help a Plant Manager to optimally budget the operating costs of a generating unit. A second methodology shows a process of screening Transmission alternatives for identifying optimal solutions based on cost and network security. Decision Trees help make good decisions, but cannot guarantee that good outcomes will always occur as a result of those decisions. However, using a structured modeling approach to decision making should produce good outcomes more frequently than making decisions in a more haphazard manner.
{"title":"Screening of load patterns and transmission planning alternatives using decision trees","authors":"S. Mukherjee, B. Wojszczyk","doi":"10.1109/IREP.2007.4410537","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410537","url":null,"abstract":"The idea of using power system models in problem solving and decision analysis is really not new, and is certainly not tied to the use of computers. At some point, all of us have used a modeling approach to make a decision. A typical decision tree is used to identify a strategy most likely to reach a goal. This paper describes two methodologies for finding optimal solutions to budgeting and planning processes with the use of decision trees. The first methodology describes Load Patterns for building better load profiles for generators that may help a Plant Manager to optimally budget the operating costs of a generating unit. A second methodology shows a process of screening Transmission alternatives for identifying optimal solutions based on cost and network security. Decision Trees help make good decisions, but cannot guarantee that good outcomes will always occur as a result of those decisions. However, using a structured modeling approach to decision making should produce good outcomes more frequently than making decisions in a more haphazard manner.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133739163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410526
T. Guler, G. Gross, R. Nelli
The implementation of electricity markets in various U.S. jurisdictions has resulted in multiple markets at different time scales for trading the same electricity commodity. This multi-settlement system allows the participation of players with physical resources and loads, as well as financial entities. Given the strong interactions of market and system operations, the multiple markets and the participation of financial players make the operational reliability management an increasingly challenging task. While the nature of the interactions between the system and market operations is well understood on a qualitative basis, the quantification of the operational reliability impacts on the overall economics of electricity markets is, typically, not performed. In this paper, we develop a general approach to quantify the market performance as a function of operational reliability criterion in a multi-settlement environment while taking into account the participation of players with physical resources and load, as well as financial entities. The quantification provides meaningful measures of the monetary and the resource dispatch impacts of the compliance with the operational reliability criterion in force. We illustrate the application of the proposed approach to the ISO-NE system in the quantification of the comparative impacts of two different security criteria for the 2005 -2006 day-ahead and real-time markets. Through this study, we gain insights into the distinctions between day-ahead and real-time markets, as well as the impacts of participating financial entities in addition to those with physical generation assets or loads.
{"title":"The economic aspects of operational reliability in electricity markets","authors":"T. Guler, G. Gross, R. Nelli","doi":"10.1109/IREP.2007.4410526","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410526","url":null,"abstract":"The implementation of electricity markets in various U.S. jurisdictions has resulted in multiple markets at different time scales for trading the same electricity commodity. This multi-settlement system allows the participation of players with physical resources and loads, as well as financial entities. Given the strong interactions of market and system operations, the multiple markets and the participation of financial players make the operational reliability management an increasingly challenging task. While the nature of the interactions between the system and market operations is well understood on a qualitative basis, the quantification of the operational reliability impacts on the overall economics of electricity markets is, typically, not performed. In this paper, we develop a general approach to quantify the market performance as a function of operational reliability criterion in a multi-settlement environment while taking into account the participation of players with physical resources and load, as well as financial entities. The quantification provides meaningful measures of the monetary and the resource dispatch impacts of the compliance with the operational reliability criterion in force. We illustrate the application of the proposed approach to the ISO-NE system in the quantification of the comparative impacts of two different security criteria for the 2005 -2006 day-ahead and real-time markets. Through this study, we gain insights into the distinctions between day-ahead and real-time markets, as well as the impacts of participating financial entities in addition to those with physical generation assets or loads.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114412770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410546
J. Su, V. Venkatasubramanian
This paper proposes a hybrid on-line slow voltage control scheme to closely monitor and control the transmission grid steady state voltages of large power systems. The control scheme is meant to be used to coordinate control actions of generators and discrete control devices in those power systems with large amount of generation resources. The control scheme has three operation phases where the optimization problems are formulated as continuous or discrete problems, depending on the nature of the control devices. Under normal operating conditions such as morning load pickups, the controller will act in the way similar to that of AGC, trying to adjust generator reactive outputs to maintain the desired voltage profile. The discrete control devices are treated as supplemental reactive power to generator reactive reserves, which need to be kept at certain level such that there could be enough fast reactive power support in case of emergency. Simulation results on small and large scale power systems (IEEE 30 & WECC) indicate that the proposed control scheme is effective and suitable for on-line implementation in large-scale power systems.
{"title":"A hybrid on-line slow voltage control scheme for large power systems","authors":"J. Su, V. Venkatasubramanian","doi":"10.1109/IREP.2007.4410546","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410546","url":null,"abstract":"This paper proposes a hybrid on-line slow voltage control scheme to closely monitor and control the transmission grid steady state voltages of large power systems. The control scheme is meant to be used to coordinate control actions of generators and discrete control devices in those power systems with large amount of generation resources. The control scheme has three operation phases where the optimization problems are formulated as continuous or discrete problems, depending on the nature of the control devices. Under normal operating conditions such as morning load pickups, the controller will act in the way similar to that of AGC, trying to adjust generator reactive outputs to maintain the desired voltage profile. The discrete control devices are treated as supplemental reactive power to generator reactive reserves, which need to be kept at certain level such that there could be enough fast reactive power support in case of emergency. Simulation results on small and large scale power systems (IEEE 30 & WECC) indicate that the proposed control scheme is effective and suitable for on-line implementation in large-scale power systems.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114651690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410535
Feng Wu, Xiao-Ping Zhang, P. Ju
Several types of WTs have been used in wind farms, such as WT with induction generator, WT with doubly fed induction generator, and WT with direct drive permanent magnet generator, which are different in terms of power-speed characteristics, generators and ways of interfacing with power grids. In this paper, the models of the three types of WTs are presented. Simulations are performed on a single machine infinite bus system, and the fault ride-through capabilities of different types of WTs are studied. The Critical Clear Time (CCT) analysis is carried out to investigate the impact of different types of WTs on power system stability. Dynamic responses are also simulated on the four-machine system under system disturbances, the damping performances of the power system with the different types of WTs are compared.
{"title":"Impact of wind turbines on power system stability","authors":"Feng Wu, Xiao-Ping Zhang, P. Ju","doi":"10.1109/IREP.2007.4410535","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410535","url":null,"abstract":"Several types of WTs have been used in wind farms, such as WT with induction generator, WT with doubly fed induction generator, and WT with direct drive permanent magnet generator, which are different in terms of power-speed characteristics, generators and ways of interfacing with power grids. In this paper, the models of the three types of WTs are presented. Simulations are performed on a single machine infinite bus system, and the fault ride-through capabilities of different types of WTs are studied. The Critical Clear Time (CCT) analysis is carried out to investigate the impact of different types of WTs on power system stability. Dynamic responses are also simulated on the four-machine system under system disturbances, the damping performances of the power system with the different types of WTs are compared.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133706963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410508
A. Bakirtzis, C. K. Simoglou, N. P. Ziogos, A. C. Tellidou, G. A. Bakirtzis
This paper addresses the problem of the development of optimal offering strategies by electricity producers in day-ahead energy auctions with step-wise energy offer format and transmission constraints. The producer energy offer optimization is formulated as a bi-level optimization problem, which is converted to a mathematical program with equilibrium constraints (MPEC). The producer MPEC is subsequently converted to a mixed integer linear program (MILP) using binary expansion of offer quantities and prices. The uncertainties under which the producer must develop his offering strategy are modeled. Test results on a small three-node, ten-unit test system address the effect of the transmission network on the producer strategic behavior in the day-ahead energy market.
{"title":"Electricity producer offering strategies in day-ahead energy markets","authors":"A. Bakirtzis, C. K. Simoglou, N. P. Ziogos, A. C. Tellidou, G. A. Bakirtzis","doi":"10.1109/IREP.2007.4410508","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410508","url":null,"abstract":"This paper addresses the problem of the development of optimal offering strategies by electricity producers in day-ahead energy auctions with step-wise energy offer format and transmission constraints. The producer energy offer optimization is formulated as a bi-level optimization problem, which is converted to a mathematical program with equilibrium constraints (MPEC). The producer MPEC is subsequently converted to a mixed integer linear program (MILP) using binary expansion of offer quantities and prices. The uncertainties under which the producer must develop his offering strategy are modeled. Test results on a small three-node, ten-unit test system address the effect of the transmission network on the producer strategic behavior in the day-ahead energy market.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133218720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410579
L. Bedreaga, B. D. Guzun, C. Constantinescu
Usually, in the reliability analysis performed for a complex system, we determine the success probability to work together with other performance indices, i.e. the likelihood associated with one state. The possible values according to system states can be derived using inductive methods. If one wants to calculate the probability to occur a particular event in the system, then must be applied the deductive methods. In the particular case of the human reliability analysis, as part of probabilistic safely analysis, the international regulatory commission have developed the specific guides and procedures to perform such assessment (International Atomic Energy Agency: Procedures for conducting probabilistic safety assessment of nuclear power plants, 1992). The paper presents the modality to perform human reliability quantification using Petri nets approach. These are an efficient mode to assess reliability systems because of their specific features. The examples showed in the paper are from human reliability documentation without a detailed human factor analysis (qualitative). We present human action modelling using event trees and Petri nets approach. The obtained results by these two kinds of methods are in good concordance.
{"title":"Modelling of the human factor using petri nets","authors":"L. Bedreaga, B. D. Guzun, C. Constantinescu","doi":"10.1109/IREP.2007.4410579","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410579","url":null,"abstract":"Usually, in the reliability analysis performed for a complex system, we determine the success probability to work together with other performance indices, i.e. the likelihood associated with one state. The possible values according to system states can be derived using inductive methods. If one wants to calculate the probability to occur a particular event in the system, then must be applied the deductive methods. In the particular case of the human reliability analysis, as part of probabilistic safely analysis, the international regulatory commission have developed the specific guides and procedures to perform such assessment (International Atomic Energy Agency: Procedures for conducting probabilistic safety assessment of nuclear power plants, 1992). The paper presents the modality to perform human reliability quantification using Petri nets approach. These are an efficient mode to assess reliability systems because of their specific features. The examples showed in the paper are from human reliability documentation without a detailed human factor analysis (qualitative). We present human action modelling using event trees and Petri nets approach. The obtained results by these two kinds of methods are in good concordance.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125025450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410563
A. Karimi, A. Feliachi, M. Choudhry
A damping controller for a static Var compensator (SVC) is designed using a backstepping control technique to enhance voltage regulation and power system stability. The damping control problem is formulated as an optimization problem using a detailed model of the power system including static and dynamic loads. A particle swarm optimization (PSO) algorithm is used to obtain the optimal control parameter gains. Nonlinear time domain simulations are carried out to examine the performance of the proposed control technique on a single and a multi machine power system. The results for both systems show that the proposed SVC damping controller is superior to conventional lead-lag design especially under high loading conditions and severe contingencies.
{"title":"On an SVC backstepping damping nonlinear controller design for power systems","authors":"A. Karimi, A. Feliachi, M. Choudhry","doi":"10.1109/IREP.2007.4410563","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410563","url":null,"abstract":"A damping controller for a static Var compensator (SVC) is designed using a backstepping control technique to enhance voltage regulation and power system stability. The damping control problem is formulated as an optimization problem using a detailed model of the power system including static and dynamic loads. A particle swarm optimization (PSO) algorithm is used to obtain the optimal control parameter gains. Nonlinear time domain simulations are carried out to examine the performance of the proposed control technique on a single and a multi machine power system. The results for both systems show that the proposed SVC damping controller is superior to conventional lead-lag design especially under high loading conditions and severe contingencies.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117133969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-26DOI: 10.1109/IREP.2007.4410565
B. Raczkowski, P. Sauer
This paper deals with static transfer stability limits (STSLs) of network branches, cutsets of network branches, and their relation to power flow Jacobian singularity. A minimal cutset is a grouping of system branches that -if removed from the system -separates the seller and buyer for a given transaction into two separate subsystems (islands) of the original network while containing no unnecessary branches in the grouping. Originally, it was proposed to define a critical cutset as a minimal cutset of system branches that exactly reaches its own cutset STSL (CSTSL) at the instant of power flow Jacobian singularity. However, it is shown that line inductive losses can reveal more information. A critical cutset is defined as the transfer loss stability limit (Critical Cut TLSL) as the point of system collapse. This paper proposes a conjecture that at least one minimal cutset in a power system is the critical cutset for a given transfer. Multiple power system models are analyzed to experimentally support the conjecture.
{"title":"Identification of Critical Cutsets for Static Collapse Analysis","authors":"B. Raczkowski, P. Sauer","doi":"10.1109/IREP.2007.4410565","DOIUrl":"https://doi.org/10.1109/IREP.2007.4410565","url":null,"abstract":"This paper deals with static transfer stability limits (STSLs) of network branches, cutsets of network branches, and their relation to power flow Jacobian singularity. A minimal cutset is a grouping of system branches that -if removed from the system -separates the seller and buyer for a given transaction into two separate subsystems (islands) of the original network while containing no unnecessary branches in the grouping. Originally, it was proposed to define a critical cutset as a minimal cutset of system branches that exactly reaches its own cutset STSL (CSTSL) at the instant of power flow Jacobian singularity. However, it is shown that line inductive losses can reveal more information. A critical cutset is defined as the transfer loss stability limit (Critical Cut TLSL) as the point of system collapse. This paper proposes a conjecture that at least one minimal cutset in a power system is the critical cutset for a given transfer. Multiple power system models are analyzed to experimentally support the conjecture.","PeriodicalId":214545,"journal":{"name":"2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115299243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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