{"title":"考虑小信号稳定性的MOPSO多目标最优潮流","authors":"Zheng Huang, Kewen Wang, Chenrun Cao, Zhipeng Mu","doi":"10.1109/CEECT55960.2022.10030694","DOIUrl":null,"url":null,"abstract":"Optimal power flow with small-signal stability constraint has attracted extensive attention because it can consider both small-signal stability and economy. However, the appropriate small-signal stability constraint threshold is not known in advance. In this paper, firstly, a multi-objective optimal power flow model is constructed with the objectives of small-signal stability and generation cost, and considering the constraints and limitations of system operation. Secondly, to obtain the Pareto optimal set, multi-objective particle swarm optimization is used to solve the proposed model. Finally, a fuzzy membership function is introduced to select the best compromise solution objectively and fairly. Simulation results for an 8-machine 24-bus system show that the proposed model can provide a reference for system operators to trade-off the small-signal stability and economy.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-Objective Optimal Power Flow Considering Small-Signal Stability Based on MOPSO\",\"authors\":\"Zheng Huang, Kewen Wang, Chenrun Cao, Zhipeng Mu\",\"doi\":\"10.1109/CEECT55960.2022.10030694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimal power flow with small-signal stability constraint has attracted extensive attention because it can consider both small-signal stability and economy. However, the appropriate small-signal stability constraint threshold is not known in advance. In this paper, firstly, a multi-objective optimal power flow model is constructed with the objectives of small-signal stability and generation cost, and considering the constraints and limitations of system operation. Secondly, to obtain the Pareto optimal set, multi-objective particle swarm optimization is used to solve the proposed model. Finally, a fuzzy membership function is introduced to select the best compromise solution objectively and fairly. Simulation results for an 8-machine 24-bus system show that the proposed model can provide a reference for system operators to trade-off the small-signal stability and economy.\",\"PeriodicalId\":187017,\"journal\":{\"name\":\"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEECT55960.2022.10030694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT55960.2022.10030694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Objective Optimal Power Flow Considering Small-Signal Stability Based on MOPSO
Optimal power flow with small-signal stability constraint has attracted extensive attention because it can consider both small-signal stability and economy. However, the appropriate small-signal stability constraint threshold is not known in advance. In this paper, firstly, a multi-objective optimal power flow model is constructed with the objectives of small-signal stability and generation cost, and considering the constraints and limitations of system operation. Secondly, to obtain the Pareto optimal set, multi-objective particle swarm optimization is used to solve the proposed model. Finally, a fuzzy membership function is introduced to select the best compromise solution objectively and fairly. Simulation results for an 8-machine 24-bus system show that the proposed model can provide a reference for system operators to trade-off the small-signal stability and economy.
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