电力系统保护与控制2024，Vol.52Issue(8)：45-54,10.DOI:10.19783/j.cnki.pspc.231472
考虑系统稳定边界的同步调相机励磁与升压变参数联合优化
Joint optimization of parameters of synchronous condenser excitation and step-up transformer considering the stability boundary of the power system
摘要
Abstract
Existing parameter optimization methods for a synchronous condenser(SC)to promote its dynamic reactive power characteristics often focus on electromagnetic parameter optimization.This brings high technical requirements and significant cost pressure to manufacturing enterprises.Thus a joint parameter optimization method for the SC excitation system and step-up transformer considering the stability boundary of the power system is proposed,and its substitutability of optimizing electromagnetic parameters is analyzed.First,the reactive power frequency domain characteristics of the SCs are derived based on the Park model.By comparing it with that of the 6th-order practical model,it is found that the Park model can enhance the accuracy of analysis of SC dynamic reactive power characteristics.Then the stability boundary of the SC grid-connected system is analyzed,based on which the parameter optimization range is determined.The frequency domain sensitivity method is applied to determine the key parameters,and the artificial fish swarm algorithm is employed for parameter optimization.Finally,simulation results demonstrate that the joint optimization of SC's excitation and step-up transformer parameters can achieve a similar dynamic reactive power performance of the SC by only optimizing the electromagnetic parameters.This validates the substitutability of electromagnetic parameter optimization,thereby reducing the manufacturing cost of the SCs,and enhancing its scope for application.关键词
分布式调相机/动态无功特性/参数优化/无功电流增益/人工鱼群算法Key words
distributed synchronous condenser/dynamic reactive power characteristics/parameter optimization/reactive current gain/artificial fish swarm algorithm引用本文复制引用
潘学萍,许一,赵天骐,王宣元,谢欢,郭金鹏..考虑系统稳定边界的同步调相机励磁与升压变参数联合优化[J].电力系统保护与控制,2024,52(8):45-54,10.基金项目
This work is supported by the National Natural Science Foundation of China(No.52077061). 国家自然科学基金项目资助(52077061) （No.52077061）
国网冀北电力有限公司科技项目资助"大规模新能源汇集区域分布调相机配置原则与协调控制方法研究"(52018K22001D) （52018K22001D）
