{"title":"基于生物地理学的短期热液调度优化","authors":"S. Datta, M. Basu, A. Bhattacharya","doi":"10.1109/ICETEEEM.2012.6494441","DOIUrl":null,"url":null,"abstract":"This paper presents Biogeography Based Optimization or BBO technique to determine short term hydrothermal scheduling, taking into account most of the equality and inequality operating constraints. Biogeography deals with the geographical distribution of biological species. Mathematical models of biogeography describe how a species arises, migrates from one habitat to another and gets wiped out The proposed algorithm has been found to perform better in terms of computational time and minimum fuel cost, due to which this method seems to be a promising alternative approach for solving the hydrothermal scheduling problems in practical power system.","PeriodicalId":213443,"journal":{"name":"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Biogeography-Based Optimization for short-term hydrothermal scheduling\",\"authors\":\"S. Datta, M. Basu, A. Bhattacharya\",\"doi\":\"10.1109/ICETEEEM.2012.6494441\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents Biogeography Based Optimization or BBO technique to determine short term hydrothermal scheduling, taking into account most of the equality and inequality operating constraints. Biogeography deals with the geographical distribution of biological species. Mathematical models of biogeography describe how a species arises, migrates from one habitat to another and gets wiped out The proposed algorithm has been found to perform better in terms of computational time and minimum fuel cost, due to which this method seems to be a promising alternative approach for solving the hydrothermal scheduling problems in practical power system.\",\"PeriodicalId\":213443,\"journal\":{\"name\":\"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETEEEM.2012.6494441\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETEEEM.2012.6494441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
本文提出了基于生物地理学的最优化(Biogeography Based Optimization, BBO)技术来确定短期热液调度,考虑了大多数相等和不相等操作约束。生物地理学研究生物物种的地理分布。生物地理学的数学模型描述了一个物种如何产生,从一个栖息地迁移到另一个栖息地并被消灭,该算法在计算时间和最小燃料成本方面表现得更好,因此该方法似乎是解决实际电力系统中热液调度问题的一种有希望的替代方法。
Biogeography-Based Optimization for short-term hydrothermal scheduling
This paper presents Biogeography Based Optimization or BBO technique to determine short term hydrothermal scheduling, taking into account most of the equality and inequality operating constraints. Biogeography deals with the geographical distribution of biological species. Mathematical models of biogeography describe how a species arises, migrates from one habitat to another and gets wiped out The proposed algorithm has been found to perform better in terms of computational time and minimum fuel cost, due to which this method seems to be a promising alternative approach for solving the hydrothermal scheduling problems in practical power system.