Pub Date : 1995-05-07DOI: 10.1109/PICA.1995.515194
X. Chao, R. R. Austria, N. Reppen, D. Welsh, J.A. Uhrin, J. Shultz
This paper presents a means for determining and reporting power transfer limits with respect to avoiding thermal, low voltage, and voltage collapse problems. The technique uses contingency analysis to select the most limiting contingencies, then generates PV curves for the selected cases. Adaptive transfer increments and limits on the transfer range to study are used to give the algorithm the speed necessary for on line applications. The results of the computer implementation of the approach are also presented.
{"title":"Practical determination of operating transfer limits","authors":"X. Chao, R. R. Austria, N. Reppen, D. Welsh, J.A. Uhrin, J. Shultz","doi":"10.1109/PICA.1995.515194","DOIUrl":"https://doi.org/10.1109/PICA.1995.515194","url":null,"abstract":"This paper presents a means for determining and reporting power transfer limits with respect to avoiding thermal, low voltage, and voltage collapse problems. The technique uses contingency analysis to select the most limiting contingencies, then generates PV curves for the selected cases. Adaptive transfer increments and limits on the transfer range to study are used to give the algorithm the speed necessary for on line applications. The results of the computer implementation of the approach are also presented.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115272191","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 : 1995-05-07DOI: 10.1109/PICA.1995.515170
K. Abdul-Rahman, S. M. Shahidehpour, M. Aganagic, S. Mokhtari
This paper presents an efficient approach to short term power system resource scheduling based on the augmented Lagrangian relaxation method. The problem is divided into two stages, the commitment stage and the constrained economic dispatch stage. The proposed mathematical model incorporates optimal power flow (OPF) constraints in the unit commitment stage. By OPF constrains, the authors refer to the relevant active power constraints that are incorporated in the constrained economic dispatch stage (i.e. transmission capacity constraints, fuel and various regulated emission requirements). The inclusion of OPF constraints in the commitment stage will improve the feasibility of the constrained economic dispatch solution. Other unit commitment constraints such as spinning and operating reserve requirements, power balance as well as other relevant local constraints (i.e. unit ramping rates, upper and lower generation limits, minimum up and down times) are taken into account in the proposed model. As a larger number of constraints are dealt with, a more rigorous method is introduced for updating Lagrange multipliers to improve the solution convergence. A software package which addresses energy management systems requirements is developed and tested.
{"title":"A practical resource scheduling with OPF constraints","authors":"K. Abdul-Rahman, S. M. Shahidehpour, M. Aganagic, S. Mokhtari","doi":"10.1109/PICA.1995.515170","DOIUrl":"https://doi.org/10.1109/PICA.1995.515170","url":null,"abstract":"This paper presents an efficient approach to short term power system resource scheduling based on the augmented Lagrangian relaxation method. The problem is divided into two stages, the commitment stage and the constrained economic dispatch stage. The proposed mathematical model incorporates optimal power flow (OPF) constraints in the unit commitment stage. By OPF constrains, the authors refer to the relevant active power constraints that are incorporated in the constrained economic dispatch stage (i.e. transmission capacity constraints, fuel and various regulated emission requirements). The inclusion of OPF constraints in the commitment stage will improve the feasibility of the constrained economic dispatch solution. Other unit commitment constraints such as spinning and operating reserve requirements, power balance as well as other relevant local constraints (i.e. unit ramping rates, upper and lower generation limits, minimum up and down times) are taken into account in the proposed model. As a larger number of constraints are dealt with, a more rigorous method is introduced for updating Lagrange multipliers to improve the solution convergence. A software package which addresses energy management systems requirements is developed and tested.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126167407","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 : 1995-05-07DOI: 10.1109/PICA.1995.515191
G. Ejebe, G. Irisarri, S. Mokhtari, O. Obadina, P. Ristanovic, J. Tong
The comparison of performance of four methods for contingency screening and ranking for voltage stability analysis is presented. Three of the methods are existing methods, while a new method is proposed. The performance of all the methods is carried out by comparing with full solutions using a continuation power flow. It is shown that the newly proposed method has the best performance in terms of accuracy and computation time. All the methods are evaluated using a 234-bus system. Additional results using the best performing method are included for a 901-bus power system.
{"title":"Methods for contingency screening and ranking for voltage stability analysis of power systems","authors":"G. Ejebe, G. Irisarri, S. Mokhtari, O. Obadina, P. Ristanovic, J. Tong","doi":"10.1109/PICA.1995.515191","DOIUrl":"https://doi.org/10.1109/PICA.1995.515191","url":null,"abstract":"The comparison of performance of four methods for contingency screening and ranking for voltage stability analysis is presented. Three of the methods are existing methods, while a new method is proposed. The performance of all the methods is carried out by comparing with full solutions using a continuation power flow. It is shown that the newly proposed method has the best performance in terms of accuracy and computation time. All the methods are evaluated using a 234-bus system. Additional results using the best performing method are included for a 901-bus power system.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130139235","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 : 1995-05-07DOI: 10.1109/PICA.1995.515281
S. Vadari, Jason Ma
Power system operations and control are becoming more and more complex. The developers are being forced to analyze multiple environments (PC/workstations, expert systems or procedural systems, structural programming or object-oriented (OO) programming, and others) in order to deliver the capabilities that are expected from them. In this paper, the authors share some of the insights that they have learned over the period of developing applications in a multi-hardware platform/multi-operating system environment: application of OO technology to simplify the software design, maintenance, and integration processes; provide a unified abstract interface to be integrated with other software components; use the same OO paradigm to design various parts of the system; provide an intuitive user interface; and reduce software development and maintenance costs. The authors have also provided a source database design case study to illustrate the use of OO technology in EMS application development. Some ideas explored in this paper have been fully utilized.
{"title":"Application of object-oriented techniques to software development in an EMS environment","authors":"S. Vadari, Jason Ma","doi":"10.1109/PICA.1995.515281","DOIUrl":"https://doi.org/10.1109/PICA.1995.515281","url":null,"abstract":"Power system operations and control are becoming more and more complex. The developers are being forced to analyze multiple environments (PC/workstations, expert systems or procedural systems, structural programming or object-oriented (OO) programming, and others) in order to deliver the capabilities that are expected from them. In this paper, the authors share some of the insights that they have learned over the period of developing applications in a multi-hardware platform/multi-operating system environment: application of OO technology to simplify the software design, maintenance, and integration processes; provide a unified abstract interface to be integrated with other software components; use the same OO paradigm to design various parts of the system; provide an intuitive user interface; and reduce software development and maintenance costs. The authors have also provided a source database design case study to illustrate the use of OO technology in EMS application development. Some ideas explored in this paper have been fully utilized.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129367205","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 : 1995-05-07DOI: 10.1109/PICA.1995.515159
N. H. Dandachi, M. Rawlins, O. Alsac, M. Prais, B. Stott
Retail transmission services like those being provided by the National Grid Company (NGC) in England and Wales pose new challenges for the pricing of reactive power supply. A reactive power market approach has been proposed by NGC and continues to be evaluated. Such an approach includes a novel requirement for transmission constrained economic dispatch of VAr, a problem in the security constrained optimal power flow (OPF) class. The problem formulations handled by the OPF package in use could not accommodate NGC's requirements. This paper describes the reactive pricing problem being addressed, the modeling requirements, and the resulting extensions made to the OPF formulation and package. It discusses the test results obtained to date on the NGC system.
{"title":"OPF for reactive pricing studies on the NGC system","authors":"N. H. Dandachi, M. Rawlins, O. Alsac, M. Prais, B. Stott","doi":"10.1109/PICA.1995.515159","DOIUrl":"https://doi.org/10.1109/PICA.1995.515159","url":null,"abstract":"Retail transmission services like those being provided by the National Grid Company (NGC) in England and Wales pose new challenges for the pricing of reactive power supply. A reactive power market approach has been proposed by NGC and continues to be evaluated. Such an approach includes a novel requirement for transmission constrained economic dispatch of VAr, a problem in the security constrained optimal power flow (OPF) class. The problem formulations handled by the OPF package in use could not accommodate NGC's requirements. This paper describes the reactive pricing problem being addressed, the modeling requirements, and the resulting extensions made to the OPF formulation and package. It discusses the test results obtained to date on the NGC system.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128810527","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 : 1995-05-07DOI: 10.1109/PICA.1995.515182
J. Sanchez-Gasca, R. D'aquila, W. Price, J. Paserba
This paper describes the development of a variable time step algorithm for the numerical simulation of power system phenomena spanning time periods from several seconds to several hours. The algorithm automatically reduces the time step of integration to capture fast transients and increases it when the system variables are varying slowly. The solution algorithm is based on a numerically stable, implicit, low order integration similar to the trapezoidal rule. Computer simulation results for two scenarios are presented. These scenarios are: a severe power system load ramp leading to voltage collapse; and a six-hour operational cycle.
{"title":"Variable time step, implicit integration for extended-term power system dynamic simulation","authors":"J. Sanchez-Gasca, R. D'aquila, W. Price, J. Paserba","doi":"10.1109/PICA.1995.515182","DOIUrl":"https://doi.org/10.1109/PICA.1995.515182","url":null,"abstract":"This paper describes the development of a variable time step algorithm for the numerical simulation of power system phenomena spanning time periods from several seconds to several hours. The algorithm automatically reduces the time step of integration to capture fast transients and increases it when the system variables are varying slowly. The solution algorithm is based on a numerically stable, implicit, low order integration similar to the trapezoidal rule. Computer simulation results for two scenarios are presented. These scenarios are: a severe power system load ramp leading to voltage collapse; and a six-hour operational cycle.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"324 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132775708","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 : 1995-05-07DOI: 10.1109/PICA.1995.515286
I. Roytelman, V. Melnik, S.S.H. Lee, R. Lugtu
Feeder reconfiguration for use by distribution management systems is discussed in this paper. Multiple objectives are proposed to reflect realistic operating environments while achieving all benefits from feeder reconfiguration. The multiple objectives considered are minimization of power losses, load balancing among supply transformers, minimization of the worst voltage drop, minimization of service interruption frequency, and balanced service of important customers for enhanced service reliability. The objective function containing five different objectives are optimized subject to capacity and protection device constraints. The overall solution approach is a two-stage process. In the first stage, a suboptimal solution is found by analyzing the mesh distribution system in which all open switches are simulated to be closed. Applying special power flow analyses to this mesh network, a radial distribution system is determined as an intermediate solution. In the second stage, this solution is continuously improved by the branch exchange scheme. Special topology models are also developed to accelerate the search procedure. Use of the algorithm is illustrated by numerical examples.
{"title":"Multi-objective feeder reconfiguration by distribution management system","authors":"I. Roytelman, V. Melnik, S.S.H. Lee, R. Lugtu","doi":"10.1109/PICA.1995.515286","DOIUrl":"https://doi.org/10.1109/PICA.1995.515286","url":null,"abstract":"Feeder reconfiguration for use by distribution management systems is discussed in this paper. Multiple objectives are proposed to reflect realistic operating environments while achieving all benefits from feeder reconfiguration. The multiple objectives considered are minimization of power losses, load balancing among supply transformers, minimization of the worst voltage drop, minimization of service interruption frequency, and balanced service of important customers for enhanced service reliability. The objective function containing five different objectives are optimized subject to capacity and protection device constraints. The overall solution approach is a two-stage process. In the first stage, a suboptimal solution is found by analyzing the mesh distribution system in which all open switches are simulated to be closed. Applying special power flow analyses to this mesh network, a radial distribution system is determined as an intermediate solution. In the second stage, this solution is continuously improved by the branch exchange scheme. Special topology models are also developed to accelerate the search procedure. Use of the algorithm is illustrated by numerical examples.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133690902","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 : 1995-05-07DOI: 10.1109/PICA.1995.515289
D. Oliveira F., R. Galiana
The relevance of exergetic analysis in the design of electric energy systems is demonstrated. This analysis provides a quantitative measure of the quality of energy in terms of its ability to perform work and leads to a more rational use of energy. A general and easy-to-use model, implemented in object oriented programming, is developed for the planning of electric energy systems including exergetic considerations. The model presented is applied to a space-beating study and to a regional planning case.
{"title":"A model for the planning of electric energy systems including exergetic considerations","authors":"D. Oliveira F., R. Galiana","doi":"10.1109/PICA.1995.515289","DOIUrl":"https://doi.org/10.1109/PICA.1995.515289","url":null,"abstract":"The relevance of exergetic analysis in the design of electric energy systems is demonstrated. This analysis provides a quantitative measure of the quality of energy in terms of its ability to perform work and leads to a more rational use of energy. A general and easy-to-use model, implemented in object oriented programming, is developed for the planning of electric energy systems including exergetic considerations. The model presented is applied to a space-beating study and to a regional planning case.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130976719","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 : 1995-05-07DOI: 10.1109/PICA.1995.515288
E. Yeh, S. Venkata, Z. Sumic
This paper presents a new problem solving environment that can utilize different forms of resources to approach better solutions in the distribution network planning domain. To implement this concept, a design optimization framework, named design by expectation (DBE), is developed. DBE exploits the adaptation of genetic algorithms in searching the optimal solution, and releases the strict requirements for objective functions and constraints in conventional optimization techniques. One example, street lighting design, is used to demonstrate the applicability of the proposed approach.
{"title":"Improved distribution system planning using computational evolution","authors":"E. Yeh, S. Venkata, Z. Sumic","doi":"10.1109/PICA.1995.515288","DOIUrl":"https://doi.org/10.1109/PICA.1995.515288","url":null,"abstract":"This paper presents a new problem solving environment that can utilize different forms of resources to approach better solutions in the distribution network planning domain. To implement this concept, a design optimization framework, named design by expectation (DBE), is developed. DBE exploits the adaptation of genetic algorithms in searching the optimal solution, and releases the strict requirements for objective functions and constraints in conventional optimization techniques. One example, street lighting design, is used to demonstrate the applicability of the proposed approach.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116899967","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 : 1995-05-07DOI: 10.1109/PICA.1995.515200
H. Mori, H. Kobayashi
This paper proposes an optimal fuzzy inference method for short-term load forecasting. The proposed method constructs an optimal structure of the simplified fuzzy inference that minimizes model errors and the number of the membership functions to grasp nonlinear behavior of power system short-term loads. The model is identified by simulated annealing and the steepest descent method. The proposed method is demonstrated in examples.
{"title":"Optimal fuzzy inference for short-term load forecasting","authors":"H. Mori, H. Kobayashi","doi":"10.1109/PICA.1995.515200","DOIUrl":"https://doi.org/10.1109/PICA.1995.515200","url":null,"abstract":"This paper proposes an optimal fuzzy inference method for short-term load forecasting. The proposed method constructs an optimal structure of the simplified fuzzy inference that minimizes model errors and the number of the membership functions to grasp nonlinear behavior of power system short-term loads. The model is identified by simulated annealing and the steepest descent method. The proposed method is demonstrated in examples.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114395576","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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