{"title":"基于完全收敛粒子群优化的动态联合经济排放负荷调度","authors":"Devinder Kumar, N. K. Jain, Nangia Uma","doi":"10.1109/ICPEE54198.2023.10060649","DOIUrl":null,"url":null,"abstract":"Determining the optimum performance from a number of power producing facilities in the short term to fulfil system demand with the aim of power forecasting at the lowest cost possible subject to transmission systems energy losses and operating parameters, is known as optimal power dispatch. Power balance constraints, generator limits, emission dispatch constraints, and valve point effects are a few instances of operational constraints. In order to manage the objective function and the operational constraints simultaneously, the proposed Perfectly Convergent Particle swarm optimization has been suggested in this research which outperformed various algorithms from recent literature in consistently giving excellent optimal solutions. The three dynamic test unit systems with three, ten and thirteen generators are considered in this article. For the accurate and efficient dynamic distribution of power, the effects of valve point loading, with or without emissions, prohibited operating zones and transmission line power loss are also taken into account.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Combined Economic Emission Load Dispatch Using Perfectly Convergent Particle Swarm Optimization\",\"authors\":\"Devinder Kumar, N. K. Jain, Nangia Uma\",\"doi\":\"10.1109/ICPEE54198.2023.10060649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Determining the optimum performance from a number of power producing facilities in the short term to fulfil system demand with the aim of power forecasting at the lowest cost possible subject to transmission systems energy losses and operating parameters, is known as optimal power dispatch. Power balance constraints, generator limits, emission dispatch constraints, and valve point effects are a few instances of operational constraints. In order to manage the objective function and the operational constraints simultaneously, the proposed Perfectly Convergent Particle swarm optimization has been suggested in this research which outperformed various algorithms from recent literature in consistently giving excellent optimal solutions. The three dynamic test unit systems with three, ten and thirteen generators are considered in this article. For the accurate and efficient dynamic distribution of power, the effects of valve point loading, with or without emissions, prohibited operating zones and transmission line power loss are also taken into account.\",\"PeriodicalId\":250652,\"journal\":{\"name\":\"2023 International Conference on Power Electronics and Energy (ICPEE)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Power Electronics and Energy (ICPEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEE54198.2023.10060649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Power Electronics and Energy (ICPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEE54198.2023.10060649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determining the optimum performance from a number of power producing facilities in the short term to fulfil system demand with the aim of power forecasting at the lowest cost possible subject to transmission systems energy losses and operating parameters, is known as optimal power dispatch. Power balance constraints, generator limits, emission dispatch constraints, and valve point effects are a few instances of operational constraints. In order to manage the objective function and the operational constraints simultaneously, the proposed Perfectly Convergent Particle swarm optimization has been suggested in this research which outperformed various algorithms from recent literature in consistently giving excellent optimal solutions. The three dynamic test unit systems with three, ten and thirteen generators are considered in this article. For the accurate and efficient dynamic distribution of power, the effects of valve point loading, with or without emissions, prohibited operating zones and transmission line power loss are also taken into account.