{"title":"基于“捕食者-猎物”头脑风暴优化的电压和无功控制分层方案","authors":"Shota Ogawa, H. Mori","doi":"10.1109/ISAP48318.2019.9065941","DOIUrl":null,"url":null,"abstract":"This paper proposes a new method for hierarchical Voltage and Reactive Power Control (VQC) with Predator-Prey Brain Storm Optimization (PPBSO) of high performance evolutionary computation. The objective of VQC is to maintain nodal voltage profiles within certain bounds. Recently, the penetration of renewables has been widely spread in power systems, which has brought about large fluctuations on nodal voltage and system frequency due to weather-dependable generation output. In this paper, an efficient VQC method is proposed with three strategies, i.e., hierarchical optimization, PPBSO and parallel computation of OpenMP. The proposed method is tested in the IEEE 57-node system.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Hierarchical Scheme for Voltage and Reactive Power Control with Predator-Prey Brain Storm Optimization\",\"authors\":\"Shota Ogawa, H. Mori\",\"doi\":\"10.1109/ISAP48318.2019.9065941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new method for hierarchical Voltage and Reactive Power Control (VQC) with Predator-Prey Brain Storm Optimization (PPBSO) of high performance evolutionary computation. The objective of VQC is to maintain nodal voltage profiles within certain bounds. Recently, the penetration of renewables has been widely spread in power systems, which has brought about large fluctuations on nodal voltage and system frequency due to weather-dependable generation output. In this paper, an efficient VQC method is proposed with three strategies, i.e., hierarchical optimization, PPBSO and parallel computation of OpenMP. The proposed method is tested in the IEEE 57-node system.\",\"PeriodicalId\":316020,\"journal\":{\"name\":\"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAP48318.2019.9065941\",\"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 20th International Conference on Intelligent System Application to Power Systems (ISAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAP48318.2019.9065941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Hierarchical Scheme for Voltage and Reactive Power Control with Predator-Prey Brain Storm Optimization
This paper proposes a new method for hierarchical Voltage and Reactive Power Control (VQC) with Predator-Prey Brain Storm Optimization (PPBSO) of high performance evolutionary computation. The objective of VQC is to maintain nodal voltage profiles within certain bounds. Recently, the penetration of renewables has been widely spread in power systems, which has brought about large fluctuations on nodal voltage and system frequency due to weather-dependable generation output. In this paper, an efficient VQC method is proposed with three strategies, i.e., hierarchical optimization, PPBSO and parallel computation of OpenMP. The proposed method is tested in the IEEE 57-node system.
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