{"title":"考虑环境成本的混合免疫粒子群优化算法","authors":"Yidi Zhang","doi":"10.1109/icsgea.2019.00021","DOIUrl":null,"url":null,"abstract":"The unit commitment problem is one of the famous and important topics in power system research. This paper proposes a novel hybrid immune particle swarm optimization (HIPSO) algorithm for unit commitment considering the environmental cost. Firstly, the unit commitment model with the objective function of minimizing the total cost (including operational cost and environmental cost) is established. Secondly, the HIPSO algorithm is described to solve the unit commitment model. At last, case studies are carried out on a province-level power system, and the simulation results verify the effectiveness of the model and the high efficiency of the algorithm.","PeriodicalId":201721,"journal":{"name":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Hybrid Immune Particle Swarm Optimization Algorithm for Unit Commitment Considering the Environmental Cost\",\"authors\":\"Yidi Zhang\",\"doi\":\"10.1109/icsgea.2019.00021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The unit commitment problem is one of the famous and important topics in power system research. This paper proposes a novel hybrid immune particle swarm optimization (HIPSO) algorithm for unit commitment considering the environmental cost. Firstly, the unit commitment model with the objective function of minimizing the total cost (including operational cost and environmental cost) is established. Secondly, the HIPSO algorithm is described to solve the unit commitment model. At last, case studies are carried out on a province-level power system, and the simulation results verify the effectiveness of the model and the high efficiency of the algorithm.\",\"PeriodicalId\":201721,\"journal\":{\"name\":\"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icsgea.2019.00021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icsgea.2019.00021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Hybrid Immune Particle Swarm Optimization Algorithm for Unit Commitment Considering the Environmental Cost
The unit commitment problem is one of the famous and important topics in power system research. This paper proposes a novel hybrid immune particle swarm optimization (HIPSO) algorithm for unit commitment considering the environmental cost. Firstly, the unit commitment model with the objective function of minimizing the total cost (including operational cost and environmental cost) is established. Secondly, the HIPSO algorithm is described to solve the unit commitment model. At last, case studies are carried out on a province-level power system, and the simulation results verify the effectiveness of the model and the high efficiency of the algorithm.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
