M. Mohammadian, M. Khaleghi, R. Azimi, A. Gharaveisi
{"title":"基于蚁群的OLTC和RPCE优化调谐提高电力系统电压稳定性","authors":"M. Mohammadian, M. Khaleghi, R. Azimi, A. Gharaveisi","doi":"10.1109/AEECT.2011.6132495","DOIUrl":null,"url":null,"abstract":"This paper proposed a novel strategy based on developed Ant Colony Optimization (ACO) algorithm which attempts to improve the voltage stability of the power systems with respect to minimum real power loss and proper voltages profile. This algorithm uses optimum settings of On-Line Tap Changer transformer (OLTC) and minimum number of Reactive Power Compensation Equipment (RPCE). The proposed algorithm is programmed on MATLAB and examine on IEEE 30-bus Test System to demonstrate the validity and the convenience of ACO approach with promising results.","PeriodicalId":408446,"journal":{"name":"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal tuning of OLTC and RPCE to improve power system voltage stability based on ant colony\",\"authors\":\"M. Mohammadian, M. Khaleghi, R. Azimi, A. Gharaveisi\",\"doi\":\"10.1109/AEECT.2011.6132495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposed a novel strategy based on developed Ant Colony Optimization (ACO) algorithm which attempts to improve the voltage stability of the power systems with respect to minimum real power loss and proper voltages profile. This algorithm uses optimum settings of On-Line Tap Changer transformer (OLTC) and minimum number of Reactive Power Compensation Equipment (RPCE). The proposed algorithm is programmed on MATLAB and examine on IEEE 30-bus Test System to demonstrate the validity and the convenience of ACO approach with promising results.\",\"PeriodicalId\":408446,\"journal\":{\"name\":\"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEECT.2011.6132495\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEECT.2011.6132495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal tuning of OLTC and RPCE to improve power system voltage stability based on ant colony
This paper proposed a novel strategy based on developed Ant Colony Optimization (ACO) algorithm which attempts to improve the voltage stability of the power systems with respect to minimum real power loss and proper voltages profile. This algorithm uses optimum settings of On-Line Tap Changer transformer (OLTC) and minimum number of Reactive Power Compensation Equipment (RPCE). The proposed algorithm is programmed on MATLAB and examine on IEEE 30-bus Test System to demonstrate the validity and the convenience of ACO approach with promising results.