M. Farsadi, H. Hosseinnejad, Tohid Sattarpour Dizaji
{"title":"利用嵌套粒子群算法求解考虑发电机约束的机组承诺和经济调度问题","authors":"M. Farsadi, H. Hosseinnejad, Tohid Sattarpour Dizaji","doi":"10.1109/ELECO.2015.7394478","DOIUrl":null,"url":null,"abstract":"Unit Commitment and Economic Dispatching are the most important part of every plant-planning project. Unit Commitment is the problem that searches the economical way for power generation, when the power consumption and altered constraints of the power plants are considered. In addition, economic dispatch as the process of power plants to produce energy at the lowest cost to satisfy consumers and considering any operating limits related to generation and transmission is complement of it and another important intention in power systems. In the past years, these kinds of problems are used to solve just by solving first one of them then another one. In this paper, it's decided to solve this two-parted problem simultaneously. For reaching this goal, it's used Particle Swarm Optimization twice but simultaneously as nested PSO. The other important part is considering some kind of limits that usually faced in these solutions, which is placed in this paper.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Solving unit commitment and economic dispatch simultaneously considering generator constraints by using nested PSO\",\"authors\":\"M. Farsadi, H. Hosseinnejad, Tohid Sattarpour Dizaji\",\"doi\":\"10.1109/ELECO.2015.7394478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Unit Commitment and Economic Dispatching are the most important part of every plant-planning project. Unit Commitment is the problem that searches the economical way for power generation, when the power consumption and altered constraints of the power plants are considered. In addition, economic dispatch as the process of power plants to produce energy at the lowest cost to satisfy consumers and considering any operating limits related to generation and transmission is complement of it and another important intention in power systems. In the past years, these kinds of problems are used to solve just by solving first one of them then another one. In this paper, it's decided to solve this two-parted problem simultaneously. For reaching this goal, it's used Particle Swarm Optimization twice but simultaneously as nested PSO. The other important part is considering some kind of limits that usually faced in these solutions, which is placed in this paper.\",\"PeriodicalId\":369687,\"journal\":{\"name\":\"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELECO.2015.7394478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELECO.2015.7394478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solving unit commitment and economic dispatch simultaneously considering generator constraints by using nested PSO
Unit Commitment and Economic Dispatching are the most important part of every plant-planning project. Unit Commitment is the problem that searches the economical way for power generation, when the power consumption and altered constraints of the power plants are considered. In addition, economic dispatch as the process of power plants to produce energy at the lowest cost to satisfy consumers and considering any operating limits related to generation and transmission is complement of it and another important intention in power systems. In the past years, these kinds of problems are used to solve just by solving first one of them then another one. In this paper, it's decided to solve this two-parted problem simultaneously. For reaching this goal, it's used Particle Swarm Optimization twice but simultaneously as nested PSO. The other important part is considering some kind of limits that usually faced in these solutions, which is placed in this paper.