{"title":"A Cuckoo Search Algorithm for Transmission Expansion Planning","authors":"H. Trần, N. Vo, H. Quyen","doi":"10.1109/ICSSE58758.2023.10227232","DOIUrl":null,"url":null,"abstract":"Today, energy is a topical issue for the developing economy and the growing population, and electrical energy plays a key role. The power system is both continuously expanding generations and developing transmission lines. The efficient problem and the optimal generation is an issue in which researchers are very interested. Therefore, the problem is the optimization in the grid expansion planning for development load, which is a very important issue in the power system. To solve the transmission expansion planning, there are many algorithms that have been applied to efficiency but need a lot of input data, a little computing time, etc. In the proposed methodology, a DC power flow subproblem is solved for each network resulting from adding a potential solution developed by the cuckoo search algorithm to the base network. The cuckoo search algorithm will apply to the transmission expansion planning problem that proves 46 bus system with many constraints, and it brings the optimization solution to meet the load demand in the future. The new solutions achieve a remarkable reduction in the total investment cost.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE58758.2023.10227232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Today, energy is a topical issue for the developing economy and the growing population, and electrical energy plays a key role. The power system is both continuously expanding generations and developing transmission lines. The efficient problem and the optimal generation is an issue in which researchers are very interested. Therefore, the problem is the optimization in the grid expansion planning for development load, which is a very important issue in the power system. To solve the transmission expansion planning, there are many algorithms that have been applied to efficiency but need a lot of input data, a little computing time, etc. In the proposed methodology, a DC power flow subproblem is solved for each network resulting from adding a potential solution developed by the cuckoo search algorithm to the base network. The cuckoo search algorithm will apply to the transmission expansion planning problem that proves 46 bus system with many constraints, and it brings the optimization solution to meet the load demand in the future. The new solutions achieve a remarkable reduction in the total investment cost.