{"title":"小信号稳定性增强的PSS优化调谐和放置多目标方法","authors":"Toufik Tarif, A. A. Ladjici, Y. Chabane","doi":"10.1109/ICOSC.2017.7958680","DOIUrl":null,"url":null,"abstract":"This paper proposes a multi-objective methodology for the determination of optimal placement and tuning of power system stabilizers (PSS), two objectives are considered: the optimal location with a minimum number of PSS and maximum damping. The objectives are in conflict with each other in multi-objectives problems. Instead of a unique optimal solution, it exists a set of best tradeoffs between competing objectives, the so-called Pareto-optimal solutions. The main idea behind the paper, is to use a Nested Evolution Strategy (ES) to explore all the possible Pareto-optimal solutions in order to find the best compromise between performance (electromechanical oscillations damping) and cost (the number of PSS to be placed). The proposed algorithm is tested in the IEEE 68-bus system where the Pareto front has been successfully approximated by the Nested-ES.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A multi-objective approach to PSS optimal tuning and placement for small-signal stability enhancement\",\"authors\":\"Toufik Tarif, A. A. Ladjici, Y. Chabane\",\"doi\":\"10.1109/ICOSC.2017.7958680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a multi-objective methodology for the determination of optimal placement and tuning of power system stabilizers (PSS), two objectives are considered: the optimal location with a minimum number of PSS and maximum damping. The objectives are in conflict with each other in multi-objectives problems. Instead of a unique optimal solution, it exists a set of best tradeoffs between competing objectives, the so-called Pareto-optimal solutions. The main idea behind the paper, is to use a Nested Evolution Strategy (ES) to explore all the possible Pareto-optimal solutions in order to find the best compromise between performance (electromechanical oscillations damping) and cost (the number of PSS to be placed). The proposed algorithm is tested in the IEEE 68-bus system where the Pareto front has been successfully approximated by the Nested-ES.\",\"PeriodicalId\":113395,\"journal\":{\"name\":\"2017 6th International Conference on Systems and Control (ICSC)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th International Conference on Systems and Control (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2017.7958680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2017.7958680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multi-objective approach to PSS optimal tuning and placement for small-signal stability enhancement
This paper proposes a multi-objective methodology for the determination of optimal placement and tuning of power system stabilizers (PSS), two objectives are considered: the optimal location with a minimum number of PSS and maximum damping. The objectives are in conflict with each other in multi-objectives problems. Instead of a unique optimal solution, it exists a set of best tradeoffs between competing objectives, the so-called Pareto-optimal solutions. The main idea behind the paper, is to use a Nested Evolution Strategy (ES) to explore all the possible Pareto-optimal solutions in order to find the best compromise between performance (electromechanical oscillations damping) and cost (the number of PSS to be placed). The proposed algorithm is tested in the IEEE 68-bus system where the Pareto front has been successfully approximated by the Nested-ES.
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