{"title":"电力系统拥塞管理的优化方法研究","authors":"Madhvi Gupta, G. K. Banerjee, N. Sharma","doi":"10.1109/PEEIC.2018.8665423","DOIUrl":null,"url":null,"abstract":"For power systems planning, operation and control problems, mathematical optimization techniques have been used over the years. However, owing to complex, large and widely distributed nature of power system, there are various uncertainties in the power system problems. Moreover recently introduced restructuring and deregulation of power utilities have created new issues for the existing power system problems. The solutions searched by mathematical optimization are usually optimum locally and it is desirable that solution of power system problem should be optimum globally. It is therefore obvious that power system problems cannot be dealt through strict mathematical formulation alone. Therefore in recent years various techniques such as Artificial Intelligence (AI), Fuzzy Logic, Genetic Algorithm (GA) and Artificial Neural Network (ANN) are being used in power system as an additional tool to mathematical optimization technique approaches. Various optimization techniques have been applied to solve various power system problems and large numbers of papers have been published in this area. In this paper, literature survey on optimization techniques for electric power system has been presented.","PeriodicalId":413723,"journal":{"name":"2018 International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization methods for power system congestion management: - A Study\",\"authors\":\"Madhvi Gupta, G. K. Banerjee, N. Sharma\",\"doi\":\"10.1109/PEEIC.2018.8665423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For power systems planning, operation and control problems, mathematical optimization techniques have been used over the years. However, owing to complex, large and widely distributed nature of power system, there are various uncertainties in the power system problems. Moreover recently introduced restructuring and deregulation of power utilities have created new issues for the existing power system problems. The solutions searched by mathematical optimization are usually optimum locally and it is desirable that solution of power system problem should be optimum globally. It is therefore obvious that power system problems cannot be dealt through strict mathematical formulation alone. Therefore in recent years various techniques such as Artificial Intelligence (AI), Fuzzy Logic, Genetic Algorithm (GA) and Artificial Neural Network (ANN) are being used in power system as an additional tool to mathematical optimization technique approaches. Various optimization techniques have been applied to solve various power system problems and large numbers of papers have been published in this area. In this paper, literature survey on optimization techniques for electric power system has been presented.\",\"PeriodicalId\":413723,\"journal\":{\"name\":\"2018 International Conference on Power Energy, Environment and Intelligent Control (PEEIC)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Power Energy, Environment and Intelligent Control (PEEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEEIC.2018.8665423\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEEIC.2018.8665423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization methods for power system congestion management: - A Study
For power systems planning, operation and control problems, mathematical optimization techniques have been used over the years. However, owing to complex, large and widely distributed nature of power system, there are various uncertainties in the power system problems. Moreover recently introduced restructuring and deregulation of power utilities have created new issues for the existing power system problems. The solutions searched by mathematical optimization are usually optimum locally and it is desirable that solution of power system problem should be optimum globally. It is therefore obvious that power system problems cannot be dealt through strict mathematical formulation alone. Therefore in recent years various techniques such as Artificial Intelligence (AI), Fuzzy Logic, Genetic Algorithm (GA) and Artificial Neural Network (ANN) are being used in power system as an additional tool to mathematical optimization technique approaches. Various optimization techniques have been applied to solve various power system problems and large numbers of papers have been published in this area. In this paper, literature survey on optimization techniques for electric power system has been presented.