Pub Date : 2010-07-25DOI: 10.1109/PES.2010.5590039
J. Jardim, C. Neto, M.G. dos Santos
Implementation details and performance results of the Brazilian system operator dynamic security assessment are presented. It describes the adopted models, analytical methods and functions. Important implementation issues such as network size, contingency screening, EMS integration, user interface and quality of data are also commented
{"title":"Brazilian System Operator Online Security Assessment System","authors":"J. Jardim, C. Neto, M.G. dos Santos","doi":"10.1109/PES.2010.5590039","DOIUrl":"https://doi.org/10.1109/PES.2010.5590039","url":null,"abstract":"Implementation details and performance results of the Brazilian system operator dynamic security assessment are presented. It describes the adopted models, analytical methods and functions. Important implementation issues such as network size, contingency screening, EMS integration, user interface and quality of data are also commented","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133541520","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 : 2006-12-01DOI: 10.1109/PSCE.2006.296494
O.Y. Lino, M. Fette, Z. Dong, J. Ramirez
This paper addresses innovative nonlinear approaches for dynamic equivalencing of machines for interconnected power systems. In contrast to the existing approaches that consider only fixed equivalencing steps without taking into consideration the machine parameters, these approaches reformulate the classical conditions incorporating real electromechanical model parameters and behaviours of the machines in the dynamic equivalencing. These aspects enable the integration of modern and intelligent techniques, such as the pattern recognition algorithms, fuzzy concept as machine splitting factor and the system identification by dynamical artificial neural networks. The electromechanical-based approaches generate accurate robust, non-linear dynamic equivalents and thereby enhance significantly their consistency and practical application on network reliability, management and planning. Test of these approaches have been performed and evaluated in large-scale model of the European interconnected electric power system (UCTE/CENTREL) and 16 multi machine system
{"title":"Nonlinear Approaches for Dynamic Equivalencing in Power Systems","authors":"O.Y. Lino, M. Fette, Z. Dong, J. Ramirez","doi":"10.1109/PSCE.2006.296494","DOIUrl":"https://doi.org/10.1109/PSCE.2006.296494","url":null,"abstract":"This paper addresses innovative nonlinear approaches for dynamic equivalencing of machines for interconnected power systems. In contrast to the existing approaches that consider only fixed equivalencing steps without taking into consideration the machine parameters, these approaches reformulate the classical conditions incorporating real electromechanical model parameters and behaviours of the machines in the dynamic equivalencing. These aspects enable the integration of modern and intelligent techniques, such as the pattern recognition algorithms, fuzzy concept as machine splitting factor and the system identification by dynamical artificial neural networks. The electromechanical-based approaches generate accurate robust, non-linear dynamic equivalents and thereby enhance significantly their consistency and practical application on network reliability, management and planning. Test of these approaches have been performed and evaluated in large-scale model of the European interconnected electric power system (UCTE/CENTREL) and 16 multi machine system","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115378496","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 : 2006-12-01DOI: 10.1109/PSCE.2006.296496
P. Mandal, T. Senjyu, N. Urasaki, T. Funabashi, A. Srivastava
In competitive electricity markets, price forecasting is becoming increasingly relevant to power producers and consumers. Price forecasts provide crucial information for power producers and consumers to develop bidding strategies in order to maximize benefit. This paper provides a method for predicting day-ahead electricity prices in the PJM market using artificial neural network (ANN) computing technique, which is based on similar days approach. Publicly available data acquired from the PJM electricity market were used for training and testing the ANN. Comparison of forecasting performance with the proposed ANN is presented. The results obtained through the simulation show that the proposed algorithm is efficient, accurate and produces better results
{"title":"Electricity Price Forecasting for PJM Day-Ahead Market","authors":"P. Mandal, T. Senjyu, N. Urasaki, T. Funabashi, A. Srivastava","doi":"10.1109/PSCE.2006.296496","DOIUrl":"https://doi.org/10.1109/PSCE.2006.296496","url":null,"abstract":"In competitive electricity markets, price forecasting is becoming increasingly relevant to power producers and consumers. Price forecasts provide crucial information for power producers and consumers to develop bidding strategies in order to maximize benefit. This paper provides a method for predicting day-ahead electricity prices in the PJM market using artificial neural network (ANN) computing technique, which is based on similar days approach. Publicly available data acquired from the PJM electricity market were used for training and testing the ANN. Comparison of forecasting performance with the proposed ANN is presented. The results obtained through the simulation show that the proposed algorithm is efficient, accurate and produces better results","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129945340","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 : 2006-12-01DOI: 10.1109/PSCE.2006.296342
K. Bailey
Geospatial decision support systems (GeoDSS) use a spatial data infrastructure and presentation medium such as GIS to promote collaborative analytic decision making. This paper describes the logical principles and application of a GeoDSS methodology employed for multistakeholder electric power transmission line routing. Layered spatial data are aggregated in ArcGIS for environmental, engineering, visibility and other criteria. A two-tiered analytic hierarchy process (AHP) is used to identify and weight decision criteria. A participatory Delphi approach is used to compose the hierarchy and weight its features. AHP decision weights are calculated using element values and then integrated using a global criterion of impedance. GIS scripts integrate the data layers and generate a summary impedance surface that captures engineering, cultural, social and economic values. This GeoDSS is termed enhanced participatory analytic minimum impedance surface (EP-AMIS). EP-AMIS permits a range of simulations to be performed including spatial sensitivity analyses to evaluate corridor routing options quantitatively and model dynamic changes. EP-AMIS mobilizes the principles of distributive justice in a GeoDSS
{"title":"Principles of the EP-AMIS GIS/Multicriteria methodology for Participatory Electric Power Transmission Line Routing","authors":"K. Bailey","doi":"10.1109/PSCE.2006.296342","DOIUrl":"https://doi.org/10.1109/PSCE.2006.296342","url":null,"abstract":"Geospatial decision support systems (GeoDSS) use a spatial data infrastructure and presentation medium such as GIS to promote collaborative analytic decision making. This paper describes the logical principles and application of a GeoDSS methodology employed for multistakeholder electric power transmission line routing. Layered spatial data are aggregated in ArcGIS for environmental, engineering, visibility and other criteria. A two-tiered analytic hierarchy process (AHP) is used to identify and weight decision criteria. A participatory Delphi approach is used to compose the hierarchy and weight its features. AHP decision weights are calculated using element values and then integrated using a global criterion of impedance. GIS scripts integrate the data layers and generate a summary impedance surface that captures engineering, cultural, social and economic values. This GeoDSS is termed enhanced participatory analytic minimum impedance surface (EP-AMIS). EP-AMIS permits a range of simulations to be performed including spatial sensitivity analyses to evaluate corridor routing options quantitatively and model dynamic changes. EP-AMIS mobilizes the principles of distributive justice in a GeoDSS","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128745965","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 : 2006-12-01DOI: 10.1109/PSCE.2006.296492
S. Liu, A. R. Messina, V. Vittal
This paper examines the use of normal form theory to investigate the effects of mode interaction induced by nonlinearity on control performance and design. A general nonlinear analysis procedure based on normal form theory is developed that exploits the nonlinear system structure and closed-form system information provided by normal form analysis to investigate the significance of nonlinear effects in assessing both the location and performance of system controllers. The method generalizes previous power system normal form representations and is expected to provide the basis for more accurate characterization of various aspects affecting control performance and design. Preliminary results of the application of the method to assess placement of PSSs and nonlinear behavior are presented. Examples of the application of the developed approaches on an IEEE 50-generator test system are presented to estimate and interpret the importance of the role of mode interaction in the analysis and location of power system stabilizers (PSSs) to aid damping of inter-area oscillations
{"title":"Estimating Nonlinear System Effects on Control Performance: A Normal Form Approach","authors":"S. Liu, A. R. Messina, V. Vittal","doi":"10.1109/PSCE.2006.296492","DOIUrl":"https://doi.org/10.1109/PSCE.2006.296492","url":null,"abstract":"This paper examines the use of normal form theory to investigate the effects of mode interaction induced by nonlinearity on control performance and design. A general nonlinear analysis procedure based on normal form theory is developed that exploits the nonlinear system structure and closed-form system information provided by normal form analysis to investigate the significance of nonlinear effects in assessing both the location and performance of system controllers. The method generalizes previous power system normal form representations and is expected to provide the basis for more accurate characterization of various aspects affecting control performance and design. Preliminary results of the application of the method to assess placement of PSSs and nonlinear behavior are presented. Examples of the application of the developed approaches on an IEEE 50-generator test system are presented to estimate and interpret the importance of the role of mode interaction in the analysis and location of power system stabilizers (PSSs) to aid damping of inter-area oscillations","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126824742","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 : 2006-12-01DOI: 10.1109/PSCE.2006.296249
S. Santoso, M. Negnevitsky, N. Hatziargyriou
This panel paper summarizes wind power development in recent years, and describes challenges of wind power integration. During the panel session, data mining and analysis techniques will be proposed to help solve these challenges
{"title":"Applications of Data Mining and Analysis Techniques in Wind Power Systems","authors":"S. Santoso, M. Negnevitsky, N. Hatziargyriou","doi":"10.1109/PSCE.2006.296249","DOIUrl":"https://doi.org/10.1109/PSCE.2006.296249","url":null,"abstract":"This panel paper summarizes wind power development in recent years, and describes challenges of wind power integration. During the panel session, data mining and analysis techniques will be proposed to help solve these challenges","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122821997","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 : 2006-12-01DOI: 10.1109/PSCE.2006.296267
W. Shao, V. Vittal
It is widely known that corrective switching, including transmission line switching and bus-bar switching, may change the states of the power systems, and consequently, affect the distribution of power flows, transmission losses, short circuit currents, voltage profiles as well as transient stability of power systems. In this paper, based on the Newton-Raphson sensitivities and the sparse inverse technique, a new power compensation model (PCM) for line and bus-bar switching is proposed to simulate complicated and multiple line switching actions and bus-bar switching actions. Then a binary integer programming (BIP) based optimal power flow (OPF) algorithm is developed to find the best line and bus-bar switching action for relieving overloads and voltage violations caused by system contingencies. Simulation results on the WECC 179-bus system indicate that the new algorithm proposed in this paper can effectively solve certain problems of line overloads and voltage violations and significantly reduce the computational time
{"title":"BIP-Based OPF for Line and Bus-bar Switching to Relieve Overloads and Voltage Violations","authors":"W. Shao, V. Vittal","doi":"10.1109/PSCE.2006.296267","DOIUrl":"https://doi.org/10.1109/PSCE.2006.296267","url":null,"abstract":"It is widely known that corrective switching, including transmission line switching and bus-bar switching, may change the states of the power systems, and consequently, affect the distribution of power flows, transmission losses, short circuit currents, voltage profiles as well as transient stability of power systems. In this paper, based on the Newton-Raphson sensitivities and the sparse inverse technique, a new power compensation model (PCM) for line and bus-bar switching is proposed to simulate complicated and multiple line switching actions and bus-bar switching actions. Then a binary integer programming (BIP) based optimal power flow (OPF) algorithm is developed to find the best line and bus-bar switching action for relieving overloads and voltage violations caused by system contingencies. Simulation results on the WECC 179-bus system indicate that the new algorithm proposed in this paper can effectively solve certain problems of line overloads and voltage violations and significantly reduce the computational time","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125130313","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 : 2006-12-01DOI: 10.1109/PSCE.2006.296340
W. Jewell, T. Grossardt, K. Bailey
This panel summary paper introduces a new method developed for public participation in transmission line routing decisions. The new method is intended to reduce public opposition to new lines, and therefore to reduce the amount of time needed for new line approval and construction. It expands the use of geographic information system (GIS) tools, and involves the public earlier, and in more significant roles, than existing methods
{"title":"Introduction to Electric Transmission Line Routing using a Decision-Landscape Based Methodology","authors":"W. Jewell, T. Grossardt, K. Bailey","doi":"10.1109/PSCE.2006.296340","DOIUrl":"https://doi.org/10.1109/PSCE.2006.296340","url":null,"abstract":"This panel summary paper introduces a new method developed for public participation in transmission line routing decisions. The new method is intended to reduce public opposition to new lines, and therefore to reduce the amount of time needed for new line approval and construction. It expands the use of geographic information system (GIS) tools, and involves the public earlier, and in more significant roles, than existing methods","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134131571","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 : 2006-10-29DOI: 10.1109/PSCE.2006.296511
E. Janeček, V. Cerný, A. Fialová, J. Fantík
One of basic system services that an electricity transmission system operator guarantees is power balance maintenance. The aim of this service is to keep power export/import to/from surrounding interconnected electricity systems at a proposed value. This implies that the amplitude of a power balance deviation has to be kept in specified boundaries. The operator uses so called ancillary services for this purpose. In order to perform the overall volume and structure optimization of the ancillary services it is needed to know the magnitude and dynamics of the deviation that will be decayed. For this reason a deviation balance model has been designed and is presented in the paper. It describes electricity transmission system operation
{"title":"A New Approach to Modelling of Electricity Transmission System Operation","authors":"E. Janeček, V. Cerný, A. Fialová, J. Fantík","doi":"10.1109/PSCE.2006.296511","DOIUrl":"https://doi.org/10.1109/PSCE.2006.296511","url":null,"abstract":"One of basic system services that an electricity transmission system operator guarantees is power balance maintenance. The aim of this service is to keep power export/import to/from surrounding interconnected electricity systems at a proposed value. This implies that the amplitude of a power balance deviation has to be kept in specified boundaries. The operator uses so called ancillary services for this purpose. In order to perform the overall volume and structure optimization of the ancillary services it is needed to know the magnitude and dynamics of the deviation that will be decayed. For this reason a deviation balance model has been designed and is presented in the paper. It describes electricity transmission system operation","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116740403","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 : 2006-10-29DOI: 10.1109/PSCE.2006.296188
R. Eshraghnia, M. Shanechi, H. R. Mashhadi
This paper presents a genetic algorithm methodology for finding the optimum preventive maintenance schedule of generating units of a GENCO in a restructured power system. In this environment, management of GENCOs and grid is separated, each maximizing its own benefit. Therefore, the principle to draw up the unit maintenance scheduling will be changed significantly. The profit of a GENCO is defined as the total profit, which is the sum of the individual units' profits from the auctions over the horizon. So every GENCO hopes to put its maintenance on the weeks when the market clearing price (MCP) is lowest, so that maintenance investment loss (MIL) descends. Therefore, objective function for the GENCO is to sell electricity as much as possible, according to the market clearing price forecast. Various technical constraints such as generation capacity, duration of maintenances and maintenance continuity are being taken in to account. The objective function of ISO is to maximize the reserve capacity of the system at every time interval, subject to the energy purchase cost doesn't increase from a predetermined amount when the units of GENCOs are in outage for maintenance. Therefore two objective functions will be finding for fairly maintenance scheduling in restructured power systems. Each GENCO specifies optimum maintenance scheduling according to its objective function and hands it over to ISO. The ISO compares its reliability index with reliability index related to maintenance scheduling of GENCOs. If they are close enough in terms of reliability, it will be approved; otherwise the units, which violate the constraints, will be identified and ISO asks for time rescheduling
{"title":"Generation Maintenance Scheduling in Power Market Based on Genetic Algorithm","authors":"R. Eshraghnia, M. Shanechi, H. R. Mashhadi","doi":"10.1109/PSCE.2006.296188","DOIUrl":"https://doi.org/10.1109/PSCE.2006.296188","url":null,"abstract":"This paper presents a genetic algorithm methodology for finding the optimum preventive maintenance schedule of generating units of a GENCO in a restructured power system. In this environment, management of GENCOs and grid is separated, each maximizing its own benefit. Therefore, the principle to draw up the unit maintenance scheduling will be changed significantly. The profit of a GENCO is defined as the total profit, which is the sum of the individual units' profits from the auctions over the horizon. So every GENCO hopes to put its maintenance on the weeks when the market clearing price (MCP) is lowest, so that maintenance investment loss (MIL) descends. Therefore, objective function for the GENCO is to sell electricity as much as possible, according to the market clearing price forecast. Various technical constraints such as generation capacity, duration of maintenances and maintenance continuity are being taken in to account. The objective function of ISO is to maximize the reserve capacity of the system at every time interval, subject to the energy purchase cost doesn't increase from a predetermined amount when the units of GENCOs are in outage for maintenance. Therefore two objective functions will be finding for fairly maintenance scheduling in restructured power systems. Each GENCO specifies optimum maintenance scheduling according to its objective function and hands it over to ISO. The ISO compares its reliability index with reliability index related to maintenance scheduling of GENCOs. If they are close enough in terms of reliability, it will be approved; otherwise the units, which violate the constraints, will be identified and ISO asks for time rescheduling","PeriodicalId":222145,"journal":{"name":"2006 IEEE PES Power Systems Conference and Exposition","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123395566","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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