{"title":"一种新的基于强化学习的火电系统自动发电控制器","authors":"T. Ahamed, P. S. Sastry, P. Rao","doi":"10.1109/TENCON.2003.1273223","DOIUrl":null,"url":null,"abstract":"Recently, we proposed a reinforcement learning (RL) based approach for designing an automatic generation controller for a two-area power system (Ahamed, T.P.I. et al., Electric Power Systems Research, vol.63, p.9-26, 2002), where we demonstrated the efficacy of the approach on an identical, simple, two-area model. This paper aims to demonstrate an alternative RL-AGC design which is simpler. Its effectiveness is demonstrated by considering a hydro-thermal system whose dynamics are more complicated than the system considered previously.","PeriodicalId":405847,"journal":{"name":"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A new reinforcement learning based automatic generation controller for hydro-thermal power systems\",\"authors\":\"T. Ahamed, P. S. Sastry, P. Rao\",\"doi\":\"10.1109/TENCON.2003.1273223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, we proposed a reinforcement learning (RL) based approach for designing an automatic generation controller for a two-area power system (Ahamed, T.P.I. et al., Electric Power Systems Research, vol.63, p.9-26, 2002), where we demonstrated the efficacy of the approach on an identical, simple, two-area model. This paper aims to demonstrate an alternative RL-AGC design which is simpler. Its effectiveness is demonstrated by considering a hydro-thermal system whose dynamics are more complicated than the system considered previously.\",\"PeriodicalId\":405847,\"journal\":{\"name\":\"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON.2003.1273223\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2003.1273223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new reinforcement learning based automatic generation controller for hydro-thermal power systems
Recently, we proposed a reinforcement learning (RL) based approach for designing an automatic generation controller for a two-area power system (Ahamed, T.P.I. et al., Electric Power Systems Research, vol.63, p.9-26, 2002), where we demonstrated the efficacy of the approach on an identical, simple, two-area model. This paper aims to demonstrate an alternative RL-AGC design which is simpler. Its effectiveness is demonstrated by considering a hydro-thermal system whose dynamics are more complicated than the system considered previously.