https://scholars.lib.ntu.edu.tw/handle/123456789/580735
標題: | Swarm-based mean-variance mapping optimization for optimal placement of energy storage with synthetic inertia control on a low inertia power grid | 作者: | CHIH-WEN LIU Rahman F.S Israjuddin, Hariyanto N CHIH-WEN LIU |
關鍵字: | Electric power system planning; Electric power transmission networks; Energy storage; Frequency response; Mapping; Energy storage systems; Fitness values; Mapping optimization; Mean variance; Multiple contingencies; Optimal placements; Power grids; Power system planning; Electric power system control | 公開日期: | 2021 | 來源出版物: | IET Generation, Transmission and Distribution | 摘要: | Utilizing energy storage systems equipped with virtual/synthetic inertia control has emerged as one of the solutions to solve low inertia issues in power systems with massive penetration of renewables. However, while the aspect regarding the control of the synthetic inertia control has been widely investigated, the optimal placement of synthetic inertia control is rarely investigated. Therefore, the optimal placement of energy storage system with synthetic inertia control based on swarm-based mean-variance mapping optimization is proposed. The performance of the proposed method is tested by considering several cases, both single and multiple contingencies. By utilizing the proposed method, the optimal placement of energy storage system equipped with synthetic inertia control could be obtained, in which the resulting frequency response is better compared to randomly placed ones. The proposed method could also be applied by considering multiple contingencies in different locations. Furthermore, the resulting fitness values for different independent optimization repetitions for various study cases are consistent, leading to the efficacy to be applied in the actual power system planning. ? 2021 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105407394&doi=10.1049%2fgtd2.12196&partnerID=40&md5=6e1bdc32f10bb0dfc43fcfb23e610ec4 https://scholars.lib.ntu.edu.tw/handle/123456789/580735 |
ISSN: | 17518687 | DOI: | 10.1049/gtd2.12196 | SDG/關鍵字: | Electric power system planning; Electric power transmission networks; Energy storage; Frequency response; Mapping; Energy storage systems; Fitness values; Mapping optimization; Mean variance; Multiple contingencies; Optimal placements; Power grids; Power system planning; Electric power system control |
顯示於: | 電機工程學系 |
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