P. Dai, Yu-Hui Zhao, Zhesheng Hu, Hao Sun, Li Yang
{"title":"Multi-energy Storage System Planning Method for Integrated Energy System Considering load Uncertainty","authors":"P. Dai, Yu-Hui Zhao, Zhesheng Hu, Hao Sun, Li Yang","doi":"10.1109/CEEPE55110.2022.9783274","DOIUrl":null,"url":null,"abstract":"With the development of new energy equipment such as electric vehicles, the large-scale integration of charging piles and charging stations into the integrated energy system has brought a lot of volatility and randomness to the system load, which can be solved by installing multi-energy energy storage facilities. This paper proposes a multi-energy energy storage planning method for integrated energy systems that considers load uncertainty. By characterizing the load uncertainty, combined with the established multi-energy energy storage planning model of the integrated energy system, the optimal capacity of the energy storage facility is obtained for the economical optimization.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783274","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
With the development of new energy equipment such as electric vehicles, the large-scale integration of charging piles and charging stations into the integrated energy system has brought a lot of volatility and randomness to the system load, which can be solved by installing multi-energy energy storage facilities. This paper proposes a multi-energy energy storage planning method for integrated energy systems that considers load uncertainty. By characterizing the load uncertainty, combined with the established multi-energy energy storage planning model of the integrated energy system, the optimal capacity of the energy storage facility is obtained for the economical optimization.