热力发电2024，Vol.53Issue(8)：38-50,13.DOI:10.19666/j.rlfd.202404096
计及内环控制小信号稳定性的构网型变流器模型降维方法
An order reduction method for grid-forming converter model considering small signal stability of inner loop control
摘要
Abstract
With the deepening of power electronicization in power system,grid-forming converters with voltage source characteristics will become conventional equipment in modern power systems.In order to conduct accurate and efficient control and operation analysis for power systems equipped with grid-forming equipment and to study their safety and stability characteristics,it is necessary to reduce the complexity of grid-forming converter model with strong nonlinear characteristics.Conventional simplification methods based on current loops and voltage control loops neglect the potential effect of inner loop control and line coupling impedance on the synchronous stability of the equipment.Ensuring the accuracy of stability analysis can be challenging in certain scenarios.Therefore,based on the existing order reduction methods,fully considering the small-signal characteristics of inner loop control and the influence of line coupling impedance,a series of improved simplified models are proposed.Moreover,the adaptability of each simplified model to frequency domain,eigenvalues,and time domain analysis is discussed.It turns out that there is no simplified model that can always maintain high accuracy in all scenarios.It is concluded that the simplification method needs to be changed according to the scenario.According to the analysis results,the relevant basis for selecting the simplified model of the converter and adjusting the control parameters is summarized.关键词
构网型/变流器控制/模型降维/小信号稳定性Key words
grid-forming/converter control/model order reduction/small-signal stability引用本文复制引用
刘爱国,毛佳奇,陈彦桥,赵璐璐,刘静佳,希望·阿布都瓦依提..计及内环控制小信号稳定性的构网型变流器模型降维方法[J].热力发电,2024,53(8):38-50,13.基金项目
国家能源集团科技项目(GJNY-23-119) （GJNY-23-119）
国家重点研发计划项目(2021YFB150700) Science and Technology Projects of CHN Energy(GJNY-23-119) （2021YFB150700）
National Key Research and Development Program(2021YFB150700) （2021YFB150700）
