{"title":"统一潮流控制器优化位置,提高系统安全性","authors":"J. S. Amirtham, V. Uma","doi":"10.1109/ICONSTEM.2016.7560971","DOIUrl":null,"url":null,"abstract":"This paper Optimally locate the Unified Power flow Controller based on real power performance index (Severity index) in the power system network. Two voltage source (Power injection) model is utilized to revise the behaviour of the UPFC in the regulation of active power, reactive power and voltage profile. This model is integrated in Newton Raphson algorithm for load flow studies. Both contingency as well as the non-contingency cases with and without FACTS device are analyzed. The Optimal Power Flow (OPF) is the most important issue which is to be taken into consideration in power systems. The objective of an Optimal Power Flow is to find the optimal operating condition for the generation units for minimizing their operational costs and simultaneously satisfying the constraints. Here in this work Particle Swarm optimization (PSO) procedure has been used to minimize the fuel cost with and without Unified Power Controller. And also the system's power losses are also minimized efficiently. For the validation and comparison purposes of the proposed techniques, and simulations are carried out on IEEE 30 bus system. Results validate that the performances of the power system can be successfully improved by the optimal allocation of the Unified power flow controller.","PeriodicalId":256750,"journal":{"name":"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Optimal location of unified power flow controller enhancing system security\",\"authors\":\"J. S. Amirtham, V. Uma\",\"doi\":\"10.1109/ICONSTEM.2016.7560971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper Optimally locate the Unified Power flow Controller based on real power performance index (Severity index) in the power system network. Two voltage source (Power injection) model is utilized to revise the behaviour of the UPFC in the regulation of active power, reactive power and voltage profile. This model is integrated in Newton Raphson algorithm for load flow studies. Both contingency as well as the non-contingency cases with and without FACTS device are analyzed. The Optimal Power Flow (OPF) is the most important issue which is to be taken into consideration in power systems. The objective of an Optimal Power Flow is to find the optimal operating condition for the generation units for minimizing their operational costs and simultaneously satisfying the constraints. Here in this work Particle Swarm optimization (PSO) procedure has been used to minimize the fuel cost with and without Unified Power Controller. And also the system's power losses are also minimized efficiently. For the validation and comparison purposes of the proposed techniques, and simulations are carried out on IEEE 30 bus system. Results validate that the performances of the power system can be successfully improved by the optimal allocation of the Unified power flow controller.\",\"PeriodicalId\":256750,\"journal\":{\"name\":\"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICONSTEM.2016.7560971\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONSTEM.2016.7560971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal location of unified power flow controller enhancing system security
This paper Optimally locate the Unified Power flow Controller based on real power performance index (Severity index) in the power system network. Two voltage source (Power injection) model is utilized to revise the behaviour of the UPFC in the regulation of active power, reactive power and voltage profile. This model is integrated in Newton Raphson algorithm for load flow studies. Both contingency as well as the non-contingency cases with and without FACTS device are analyzed. The Optimal Power Flow (OPF) is the most important issue which is to be taken into consideration in power systems. The objective of an Optimal Power Flow is to find the optimal operating condition for the generation units for minimizing their operational costs and simultaneously satisfying the constraints. Here in this work Particle Swarm optimization (PSO) procedure has been used to minimize the fuel cost with and without Unified Power Controller. And also the system's power losses are also minimized efficiently. For the validation and comparison purposes of the proposed techniques, and simulations are carried out on IEEE 30 bus system. Results validate that the performances of the power system can be successfully improved by the optimal allocation of the Unified power flow controller.