中国电力2025，Vol.58Issue(3)：193-203,11.DOI:10.11930/j.issn.1004-9649.202404129
构网型储能变流器并网性能的多层级评价指标体系及应用
Multi-level Evaluation Index System and Application of Grid-Connected Performance of Grid-Forming Energy Storage Converters
摘要
Abstract
To evaluate the active support capability of grid-forming energy storage converters,a set of quantitative evaluation index system is proposed to evaluate the performance and effectiveness of the current mainstream converter control strategies.Firstly,from the perspective of voltage and frequency stability,the characteristics of power,voltage,and frequency under multi-time scales are observed.Considering the power support density and energy support density,a set of quantitative evaluation indicators system for the three-level performance of"single machine-substation-grid"is proposed.Then,based on the Matlab/Simulink simulation platform,a single-machine infinite system model of the energy storage converters based on grid-following(GFL)and grid-forming(GFM)controls is built,and the proposed single-machine side indicators are analyzed and calculated.And a large-scale power grid model in the Southern Xinjiang region is also built based on the DIgSILENT simulation platform to verify the effectiveness of the proposed field station side and grid side indicators.The research findings demonstrate from the perspective of indices that the GFM control has better support capabilities than the GFL control.The proposed evaluation index system can provide a reference for field testing of GFM energy storage system demonstration projects and selection of location and capacity for GFM energy storage stations.关键词
储能变流器/评价指标体系/多时间尺度/跟网型/构网型Key words
energy storage converters/evaluation indicator system/multi-time scale/grid-following/grid-forming引用本文复制引用
刘雨姗,陈俊儒,常喜强,刘牧阳..构网型储能变流器并网性能的多层级评价指标体系及应用[J].中国电力,2025,58(3):193-203,11.基金项目
新疆维吾尔自治区重大科技专项(电压源型风光储并网友好型控制关键技术研发,2022A01004-1). This work is supported by Major Science and Technology Project of Xinjiang Uygur Autonomous Region(Research and Development of Key Technologies for Grid-Friendly Control of Voltage-Source-Based Wind-PV-Storage Grid Integration,No.2022A01004-1). （电压源型风光储并网友好型控制关键技术研发,2022A01004-1）
