{"title":"Optimal Allocation of Electrochemical Energy Storage of Source-Grid-Load Sides in Power System Considering Social Benefit","authors":"Miao Yu, Zheng Qi, Guan Lan","doi":"10.1109/REPE55559.2022.9949460","DOIUrl":null,"url":null,"abstract":"To improve the comprehensive utilization of three-side electrochemical energy storage (EES) allocation and the toughness of power grid, an EES optimization model considering macro social benefits and three-side collaborative planning is put forward. Firstly, according to the principle that conventional units and energy storage help absorb new energy output fluctuation, the EES operation mode is determined. Secondly, a comprehensive economic model is established considering the social benefit of EES, covering energy saving and emission reduction on the power generation side, reduction of power grid line loss and power outage loss on the grid side, and delay of equipment loss and backup configuration on the user side. The overall goal of model is to maximize the macro social benefit. Finally, the Nondominated Sorting Genetic Algorithm with Elitist Strategy (NSGA-II) is applied for the multi-objective majorization model, and an example is analyzed based on the improved IEEE 30-node network, providing a reference for the allocation of EES in electric system.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REPE55559.2022.9949460","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
To improve the comprehensive utilization of three-side electrochemical energy storage (EES) allocation and the toughness of power grid, an EES optimization model considering macro social benefits and three-side collaborative planning is put forward. Firstly, according to the principle that conventional units and energy storage help absorb new energy output fluctuation, the EES operation mode is determined. Secondly, a comprehensive economic model is established considering the social benefit of EES, covering energy saving and emission reduction on the power generation side, reduction of power grid line loss and power outage loss on the grid side, and delay of equipment loss and backup configuration on the user side. The overall goal of model is to maximize the macro social benefit. Finally, the Nondominated Sorting Genetic Algorithm with Elitist Strategy (NSGA-II) is applied for the multi-objective majorization model, and an example is analyzed based on the improved IEEE 30-node network, providing a reference for the allocation of EES in electric system.