{"title":"使用改进闪电搜索算法的最佳电能质量监视器放置","authors":"L. A. Wong, Tze Jian Ling, N. Ramlee","doi":"10.1109/PECON.2018.8684126","DOIUrl":null,"url":null,"abstract":"This paper presents an approach using quantum-inspired lightning search algorithm (QLSA) in obtaining the optimal power quality monitors (PQMs) placement in the power grid. An objective function with the idea of topological monitor reach area is formulated considering the system observability constraint. The effectiveness of the suggested technique has been verified using IEEE 118-bus system and comparison has been done with another quantum-inspired algorithm. The results show that QLSA is able to perform well in PQMs placement problem.","PeriodicalId":278078,"journal":{"name":"2018 IEEE 7th International Conference on Power and Energy (PECon)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimal Power Quality Monitors Placement using Improved Lightning Search Algorithm\",\"authors\":\"L. A. Wong, Tze Jian Ling, N. Ramlee\",\"doi\":\"10.1109/PECON.2018.8684126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approach using quantum-inspired lightning search algorithm (QLSA) in obtaining the optimal power quality monitors (PQMs) placement in the power grid. An objective function with the idea of topological monitor reach area is formulated considering the system observability constraint. The effectiveness of the suggested technique has been verified using IEEE 118-bus system and comparison has been done with another quantum-inspired algorithm. The results show that QLSA is able to perform well in PQMs placement problem.\",\"PeriodicalId\":278078,\"journal\":{\"name\":\"2018 IEEE 7th International Conference on Power and Energy (PECon)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 7th International Conference on Power and Energy (PECon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PECON.2018.8684126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 7th International Conference on Power and Energy (PECon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECON.2018.8684126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Power Quality Monitors Placement using Improved Lightning Search Algorithm
This paper presents an approach using quantum-inspired lightning search algorithm (QLSA) in obtaining the optimal power quality monitors (PQMs) placement in the power grid. An objective function with the idea of topological monitor reach area is formulated considering the system observability constraint. The effectiveness of the suggested technique has been verified using IEEE 118-bus system and comparison has been done with another quantum-inspired algorithm. The results show that QLSA is able to perform well in PQMs placement problem.
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