Yonggang Li, W. Dong, Xiaoning Feng, Minghui Zhang
{"title":"The Expansion Planning of Wind-Thermal Co-generation System Based on Harmony Search Algorithm under Smart Grid","authors":"Yonggang Li, W. Dong, Xiaoning Feng, Minghui Zhang","doi":"10.1109/SmartGridComm.2019.8909757","DOIUrl":null,"url":null,"abstract":"Under Smart Grid circumstance, the problem that the large grid system is difficult to schedule can be solved by the micro-grid. Meanwhile, the shortage of traditional energy makes the demand-supply gap enlarge and renewable energy will become the primary energy supply in the future. Therefore, the study on how to expand renewable energy in the co-generation system in micro-grid is of great significant and valuable. In this paper, the minimum total cost of the expansion plan and the improvement of micro-grid reliability are taken as the optimal goal. The expansion planning model of the wind-thermal co-generation system is established, which uses the Harmony Search (HS) and the Genetic Algorithm (GA) to simulate a micro-grid with five nodes in a decade respectively. The comparison results of the simulation results show that the expansion planning model of the co-generation system with the HS method is more feasible and effective than that with GA. Through the research on the expansion planning of wind-thermal co-generation system, it can provide the decision support and reference for the long-term expansion planning of co-generation system in micro-grid under the Smart Grid.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartGridComm.2019.8909757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Under Smart Grid circumstance, the problem that the large grid system is difficult to schedule can be solved by the micro-grid. Meanwhile, the shortage of traditional energy makes the demand-supply gap enlarge and renewable energy will become the primary energy supply in the future. Therefore, the study on how to expand renewable energy in the co-generation system in micro-grid is of great significant and valuable. In this paper, the minimum total cost of the expansion plan and the improvement of micro-grid reliability are taken as the optimal goal. The expansion planning model of the wind-thermal co-generation system is established, which uses the Harmony Search (HS) and the Genetic Algorithm (GA) to simulate a micro-grid with five nodes in a decade respectively. The comparison results of the simulation results show that the expansion planning model of the co-generation system with the HS method is more feasible and effective than that with GA. Through the research on the expansion planning of wind-thermal co-generation system, it can provide the decision support and reference for the long-term expansion planning of co-generation system in micro-grid under the Smart Grid.