Pub Date : 2010-07-25DOI: 10.1109/PES.2010.5588166
P. Tripathy, S. Srivastava, S. Singh
This paper proposes a method based on noise space decomposition (NSD) for the identification of low frequency oscillations in power systems. The proposed method uses a median filter to reduce the variance of the estimated modes. The signal utilized for estimating the modes is the power signal obtained from phasor measurement units (PMUs). The results with the proposed method has been compared with an improved Prony based method on a test signal at different noise levels. Estimation of modes has also been carried out on a 2-area system using the proposed method.
{"title":"A noise space decomposition based method for identifying low frequency oscillations using synchro-phasor measurements","authors":"P. Tripathy, S. Srivastava, S. Singh","doi":"10.1109/PES.2010.5588166","DOIUrl":"https://doi.org/10.1109/PES.2010.5588166","url":null,"abstract":"This paper proposes a method based on noise space decomposition (NSD) for the identification of low frequency oscillations in power systems. The proposed method uses a median filter to reduce the variance of the estimated modes. The signal utilized for estimating the modes is the power signal obtained from phasor measurement units (PMUs). The results with the proposed method has been compared with an improved Prony based method on a test signal at different noise levels. Estimation of modes has also been carried out on a 2-area system using the proposed method.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"33 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":"125313295","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 : 2010-07-25DOI: 10.1109/PES.2010.5589566
Ravi Mutukutti, David Apps, C. Henville
Short circuit contributions from synchronous generators can persist for several seconds even after the field circuit breaker is opened. Delayed tripping of an AC field circuit breaker can allow faster reduction of generator field current in some circumstances. Faster reduction of generator field current will reduce the energy in a short circuit and consequently reduce the damage caused by the short circuit. This paper describes a case study examining the issues associated with the decision to delay tripping of AC field circuit breakers.
{"title":"Field breaker tripping options for generator static excitation systems with AC field circuit breakers - A case study","authors":"Ravi Mutukutti, David Apps, C. Henville","doi":"10.1109/PES.2010.5589566","DOIUrl":"https://doi.org/10.1109/PES.2010.5589566","url":null,"abstract":"Short circuit contributions from synchronous generators can persist for several seconds even after the field circuit breaker is opened. Delayed tripping of an AC field circuit breaker can allow faster reduction of generator field current in some circumstances. Faster reduction of generator field current will reduce the energy in a short circuit and consequently reduce the damage caused by the short circuit. This paper describes a case study examining the issues associated with the decision to delay tripping of AC field circuit breakers.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"2 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":"125328683","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 : 2010-07-25DOI: 10.1109/PES.2010.5589903
Fang-Yuan Xu, Long Zhou, L. Lai
A system based on Artificial Neural Network (ANN) for load predication in power distribution system with chillers is presented in this paper. The proposed system could predict the chillers' load each hour in a day by using the weather conditions as input. Results from this system provide possibility to improve the power factor of the chillers system and to optimize the power distribution in loads to a more accuracy level in micro-grid applications.
{"title":"Application of Artificial Neural Network in electrical analysis of micro-grid load","authors":"Fang-Yuan Xu, Long Zhou, L. Lai","doi":"10.1109/PES.2010.5589903","DOIUrl":"https://doi.org/10.1109/PES.2010.5589903","url":null,"abstract":"A system based on Artificial Neural Network (ANN) for load predication in power distribution system with chillers is presented in this paper. The proposed system could predict the chillers' load each hour in a day by using the weather conditions as input. Results from this system provide possibility to improve the power factor of the chillers system and to optimize the power distribution in loads to a more accuracy level in micro-grid applications.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"22 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":"115257023","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 : 2010-07-25DOI: 10.1109/PES.2010.5589564
Hongbin Sun, Weiyong Jiang, Bin Wang, Qinglai Guo, Boming Zhang, Kang Wang
With development of smart grid, study of power demand model of high energy consumers becomes an important topic in China. As a result of preliminary research, initial power demand model of high energy consumer is built up based on data mining. Such a model opens out the relationship of power demand and market factors, which can be applied to demand side management (DSM) for high energy consumers under Chinese market environment. A power demand forecasting method based on consumer classification and high energy consumer demand model is proposed. Such a model can also be applied to strategy making in DSM. Case study is carried out with real-life data from Guiyang city power grid where a large percentage of power demand is that from high energy consumers mainly consisting of phosphor plants and electrolytic aluminum plants. Case study results shows that demand forecasting precision is improved significantly and quantitative DSM strategies for high energy consumers can be made based on the proposed model.
{"title":"Preliminary research on power demand model of high energy consumers for smart grid in China","authors":"Hongbin Sun, Weiyong Jiang, Bin Wang, Qinglai Guo, Boming Zhang, Kang Wang","doi":"10.1109/PES.2010.5589564","DOIUrl":"https://doi.org/10.1109/PES.2010.5589564","url":null,"abstract":"With development of smart grid, study of power demand model of high energy consumers becomes an important topic in China. As a result of preliminary research, initial power demand model of high energy consumer is built up based on data mining. Such a model opens out the relationship of power demand and market factors, which can be applied to demand side management (DSM) for high energy consumers under Chinese market environment. A power demand forecasting method based on consumer classification and high energy consumer demand model is proposed. Such a model can also be applied to strategy making in DSM. Case study is carried out with real-life data from Guiyang city power grid where a large percentage of power demand is that from high energy consumers mainly consisting of phosphor plants and electrolytic aluminum plants. Case study results shows that demand forecasting precision is improved significantly and quantitative DSM strategies for high energy consumers can be made based on the proposed model.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"26 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":"115356854","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 : 2010-07-25DOI: 10.1109/PES.2010.5590080
M. Rahmani, M. Rashidinejad, E. Carreno, R. Romero
This paper presents the application of a new metaheuristic algorithm to solve the transmission expansion planning problem. A simple heuristic, using a relaxed network model associated with cost perturbation, is applied to generate a set of high quality initial solutions with different topologies. The population is evolved using a multi-move path-relinking with the objective of finding minimum investment cost for the transmission expansion planning problem employing the DC representation. The algorithm is tested on the southern Brazilian system, obtaining the optimal solution for the system with better performance than similar metaheuristics algorithms applied to the same problem.
{"title":"Evolutionary multi-move path-relinking for transmission network expansion planning","authors":"M. Rahmani, M. Rashidinejad, E. Carreno, R. Romero","doi":"10.1109/PES.2010.5590080","DOIUrl":"https://doi.org/10.1109/PES.2010.5590080","url":null,"abstract":"This paper presents the application of a new metaheuristic algorithm to solve the transmission expansion planning problem. A simple heuristic, using a relaxed network model associated with cost perturbation, is applied to generate a set of high quality initial solutions with different topologies. The population is evolved using a multi-move path-relinking with the objective of finding minimum investment cost for the transmission expansion planning problem employing the DC representation. The algorithm is tested on the southern Brazilian system, obtaining the optimal solution for the system with better performance than similar metaheuristics algorithms applied to the same problem.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"11 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":"116174996","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 : 2010-07-25DOI: 10.1109/PES.2010.5589424
Jian Liang, S. Ng, Gail Kendall, John W. M. Cheng
Load Signatures embedded in common electricity consumption patterns in fact could render much information pertaining to the nature of the appliances and their usage patterns. Based on the proposed disaggregation framework, we use three advanced disaggregation algorithms, called Committee Decision Mechanisms (CDMs), to perform load disaggregation at the metering level. Three random switching simulators are also developed to investigate the performance of different CDMs under a variety of scenarios. Through Monte Carlo simulations, we demonstrate that all CDMs outperform any single-feature, single-algorithm based disaggregation methods. With sensitivity analysis, we also show that the CDMs are less sensitive to any load dynamics and noise. We finally demonstrate some applications of this technology in terms of appliance usage tacking and estimated energy consumption of each appliance.
{"title":"Load signature study ¡V part II: Disaggregation framework, simulation and applications","authors":"Jian Liang, S. Ng, Gail Kendall, John W. M. Cheng","doi":"10.1109/PES.2010.5589424","DOIUrl":"https://doi.org/10.1109/PES.2010.5589424","url":null,"abstract":"Load Signatures embedded in common electricity consumption patterns in fact could render much information pertaining to the nature of the appliances and their usage patterns. Based on the proposed disaggregation framework, we use three advanced disaggregation algorithms, called Committee Decision Mechanisms (CDMs), to perform load disaggregation at the metering level. Three random switching simulators are also developed to investigate the performance of different CDMs under a variety of scenarios. Through Monte Carlo simulations, we demonstrate that all CDMs outperform any single-feature, single-algorithm based disaggregation methods. With sensitivity analysis, we also show that the CDMs are less sensitive to any load dynamics and noise. We finally demonstrate some applications of this technology in terms of appliance usage tacking and estimated energy consumption of each appliance.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"31 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":"116552205","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 : 2010-07-25DOI: 10.1109/PES.2010.5589878
M. Rahman
The past fifteen years have been an exciting period with tremendous advances in the development of interior permanent magnet (IPM) electrical machines. Over the course of this period, interior permanent magnet synchronous machines (IPMSM) have expanded their presence in specialized niche automotive markets for energy-efficient electric traction drives for the latest generation of hybrid-electric vehicles (HEV). Power ratings of available IPM motors and self-charging and/or plug-in IPM generators have dramatically increased by approximately few orders of magnitude during this period. Closer examination reveals that several different knowledge-based technological advancements and market forces have combined, sometimes in fortuitous ways, to accelerate the development of the impressive IPMSM drives technology. The purpose of this paper is to provide a broad explanation of the various factors that lead to the current state-of-the-art IPM technology, and to illustrate its application success in the automotive industry and railway.
{"title":"Recent status on IPM traction drives for plug-in and hybrid electric vehicles","authors":"M. Rahman","doi":"10.1109/PES.2010.5589878","DOIUrl":"https://doi.org/10.1109/PES.2010.5589878","url":null,"abstract":"The past fifteen years have been an exciting period with tremendous advances in the development of interior permanent magnet (IPM) electrical machines. Over the course of this period, interior permanent magnet synchronous machines (IPMSM) have expanded their presence in specialized niche automotive markets for energy-efficient electric traction drives for the latest generation of hybrid-electric vehicles (HEV). Power ratings of available IPM motors and self-charging and/or plug-in IPM generators have dramatically increased by approximately few orders of magnitude during this period. Closer examination reveals that several different knowledge-based technological advancements and market forces have combined, sometimes in fortuitous ways, to accelerate the development of the impressive IPMSM drives technology. The purpose of this paper is to provide a broad explanation of the various factors that lead to the current state-of-the-art IPM technology, and to illustrate its application success in the automotive industry and railway.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"1 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":"122937986","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 : 2010-07-25DOI: 10.1109/PES.2010.5589299
G. Joós, M. Dubois
Plug-in hybrid vehicles (PHEVs) and Plug-in Electric Vehicles (PEV) are promoted in many jurisdictions worldwide as a way of reducing reliance on fossil fuels and reducing green house gases. In Canada, most utilities have initiatives in this area, with the aim to assess the impact on their electric grid of the wide scale deployment of these vehicles. There is also a significant interest on the part of international car manufacturers to supply vehicles to the local market, and on the part of equipment manufacturers to develop specialized components for this market. This paper summarizes the Canadian initiatives undertaken by utilities, in collaboration with car manufacturers, and by governments and government laboratories, and other stakeholders.
{"title":"Integration of PHEVs and EVs: Experience from Canada","authors":"G. Joós, M. Dubois","doi":"10.1109/PES.2010.5589299","DOIUrl":"https://doi.org/10.1109/PES.2010.5589299","url":null,"abstract":"Plug-in hybrid vehicles (PHEVs) and Plug-in Electric Vehicles (PEV) are promoted in many jurisdictions worldwide as a way of reducing reliance on fossil fuels and reducing green house gases. In Canada, most utilities have initiatives in this area, with the aim to assess the impact on their electric grid of the wide scale deployment of these vehicles. There is also a significant interest on the part of international car manufacturers to supply vehicles to the local market, and on the part of equipment manufacturers to develop specialized components for this market. This paper summarizes the Canadian initiatives undertaken by utilities, in collaboration with car manufacturers, and by governments and government laboratories, and other stakeholders.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"283 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":"114175900","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 : 2010-07-25DOI: 10.1109/PES.2010.5589380
Yi Liu, Yang Wang, M. Peng, Chuangxin Guo
This paper proposes an information fusion method for diagnosis. Multilayer structure of information fusion included data proposing, feature extraction and decision making, is constructed for dealing with the objects such as current, voltage and wave, etc. A Petri-network and a fault matching method of WAMS data are used in characteristic fusion. The application of this fame in the simulation resolves the problem of information loss which provides a way of the advanced applications in smart grid.
{"title":"A fault diagnosis method for power system based on multilayer information fusion structure","authors":"Yi Liu, Yang Wang, M. Peng, Chuangxin Guo","doi":"10.1109/PES.2010.5589380","DOIUrl":"https://doi.org/10.1109/PES.2010.5589380","url":null,"abstract":"This paper proposes an information fusion method for diagnosis. Multilayer structure of information fusion included data proposing, feature extraction and decision making, is constructed for dealing with the objects such as current, voltage and wave, etc. A Petri-network and a fault matching method of WAMS data are used in characteristic fusion. The application of this fame in the simulation resolves the problem of information loss which provides a way of the advanced applications in smart grid.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"7 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":"121879619","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 : 2010-07-25DOI: 10.1109/PES.2010.5589616
Paul D. Smith, P. Cuffe, S. Grimes, T. Hearne
This paper discusses the connection policies adopted to facilitate the large number of wind farms seeking access to the Irish power system. A key feature is a grouped connection offer process that provides certainty for wind project developers and optimises the development of the network. A further interesting feature is the development of a “wind cluster” concept which permits semi-dedicated MV networks for the connection of a group of adjacent wind farms, together with equitable arrangements for sharing the financial burden of construction between developers.
{"title":"Ireland's approach for the connection of large amounts of renewable generation","authors":"Paul D. Smith, P. Cuffe, S. Grimes, T. Hearne","doi":"10.1109/PES.2010.5589616","DOIUrl":"https://doi.org/10.1109/PES.2010.5589616","url":null,"abstract":"This paper discusses the connection policies adopted to facilitate the large number of wind farms seeking access to the Irish power system. A key feature is a grouped connection offer process that provides certainty for wind project developers and optimises the development of the network. A further interesting feature is the development of a “wind cluster” concept which permits semi-dedicated MV networks for the connection of a group of adjacent wind farms, together with equitable arrangements for sharing the financial burden of construction between developers.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"49 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":"121928795","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：