M. Moazzami, G. Gharehpetian, Hossein Shahinzadeh, S. Hosseinian
{"title":"Optimal locating and sizing of DG and D-STATCOM using Modified Shuffled Frog Leaping Algorithm","authors":"M. Moazzami, G. Gharehpetian, Hossein Shahinzadeh, S. Hosseinian","doi":"10.1109/CSIEC.2017.7940157","DOIUrl":null,"url":null,"abstract":"In recent years, by restructuring the power systems, the power plant companies are going to improve the quality of the power and the reliability of the distribution systems by using the modern instruments. Also, using the distributed generation sources (DGs) and distribution statistic synchronized compensator (D-STATCOM) in distribution systems has been increased. The installation location and the capacity of these instruments are some of the main factors of impression of such instruments in affecting the improvement of the power quality indices such as the voltage stability and the reduction of the distribution systems losses. In this article, in order to determine the optimal installation position of these instruments, an objective function consisted of equipment's installation and the system energy losses costs is composed. Furthermore, the Modified Shuffled Frog Leaping Algorithm (MSFLA) is applied to minimize the objective function to achieve the optimal place and size of these instruments in distribution system. The proposed method optimization result is compared with the results derived from the genetic algorithm. IEEE 33 Buses standard distribution systems is used as the test case. Simulation results show the effectiveness of the proposed approach.","PeriodicalId":166046,"journal":{"name":"2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)","volume":"33 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIEC.2017.7940157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
In recent years, by restructuring the power systems, the power plant companies are going to improve the quality of the power and the reliability of the distribution systems by using the modern instruments. Also, using the distributed generation sources (DGs) and distribution statistic synchronized compensator (D-STATCOM) in distribution systems has been increased. The installation location and the capacity of these instruments are some of the main factors of impression of such instruments in affecting the improvement of the power quality indices such as the voltage stability and the reduction of the distribution systems losses. In this article, in order to determine the optimal installation position of these instruments, an objective function consisted of equipment's installation and the system energy losses costs is composed. Furthermore, the Modified Shuffled Frog Leaping Algorithm (MSFLA) is applied to minimize the objective function to achieve the optimal place and size of these instruments in distribution system. The proposed method optimization result is compared with the results derived from the genetic algorithm. IEEE 33 Buses standard distribution systems is used as the test case. Simulation results show the effectiveness of the proposed approach.