{"title":"Optimizing Hierarchical Site Selection for Grid-Forming Energy Storage System: A Case Study of Power System in Western China","authors":"Yushan Liu;Junru Chen;Muyang Liu","doi":"10.1109/JESTIE.2025.3550774","DOIUrl":null,"url":null,"abstract":"As the power system shifts from conventional synchronous generation (SG) to converter-interfaced generation (CIG), the reliance on CIG for maintaining frequency and voltage stability has increased. Grid-forming energy storage systems (GFM-ESSs), with control response characteristics similar to SG, are considered essential for improving the stability and performance of power systems. This article introduces a strategic approach for optimizing GFM-ESS site selection, addressing both plant-level and system-level stability statically and dynamically. First, a hierarchical siting index system is established, taking into account the impact of energy storage systems on static voltage stability and power losses, small-signal stability conditions at grid-forming stations, and the transient support capabilities of GFM-ESS devices. The K-means clustering method and an improved GRA-VIKOR evaluation algorithm are then applied to address the hierarchical siting problem and determine optimal installation locations for GFM-ESS within a large power grid. A case study of the Western China power system demonstrates that the proposed site selection strategy effectively identifies optimal locations, enhancing performance and support capabilities.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"6 3","pages":"1089-1099"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10923632/","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
As the power system shifts from conventional synchronous generation (SG) to converter-interfaced generation (CIG), the reliance on CIG for maintaining frequency and voltage stability has increased. Grid-forming energy storage systems (GFM-ESSs), with control response characteristics similar to SG, are considered essential for improving the stability and performance of power systems. This article introduces a strategic approach for optimizing GFM-ESS site selection, addressing both plant-level and system-level stability statically and dynamically. First, a hierarchical siting index system is established, taking into account the impact of energy storage systems on static voltage stability and power losses, small-signal stability conditions at grid-forming stations, and the transient support capabilities of GFM-ESS devices. The K-means clustering method and an improved GRA-VIKOR evaluation algorithm are then applied to address the hierarchical siting problem and determine optimal installation locations for GFM-ESS within a large power grid. A case study of the Western China power system demonstrates that the proposed site selection strategy effectively identifies optimal locations, enhancing performance and support capabilities.