中国电力2025，Vol.58Issue(3)：65-72,8.DOI:10.11930/j.issn.1004-9649.202404131
基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法
A Searching Method for the Worst Operating Condition of Oscillatory Stability in New Energy Systems Based on Metaheuristic Algorithm
摘要
Abstract
With the massive integration of new energy,the oscillation problem caused by the interaction between power electronics devices and the grid is becoming prominent.In the planning and operation stage of power system,it is necessary to assess the risk of system oscillation and analyze this risk under severe operating conditions.Therefore,how to search the worst operating conditions has become a key problem to solve.In this paper,an oscillatory worst condition search method is proposed based on metaheuristic algorithm.In this method,the operating condition variables are first selected in according with the system.Then,an oscillation stability analysis function is constructed based on logarithmic derivative method.After that,metaheuristic algorithm is selected to identify the worst operating condition of oscillatory stability.Finally,the risk of system oscillation is analyzed according to the worst operating condition.This method is applied to an actual large-scale wind power integration system,resulting in the worst operating condition is calculated and the risk of system oscillation is evaluated.关键词
新能源并网/振荡风险评估/最差工况搜索/元启发式算法Key words
new energy integration/oscillation risk assessment/worst operating condition search/metaheuristic algorithm引用本文复制引用
汪林光,李旭涛,任勇,谢小荣..基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法[J].中国电力,2025,58(3):65-72,8.基金项目
国网宁夏电力有限公司科技项目(高占比新能源电力系统宽频振荡风险评估技术研究及应用,5229DK230001). This work is supported by Science and Technology Project of State Grid Ningxia Electric Power Co.,Ltd.(Research and Application of Wide-Band Oscillation Risk Assessment Technology for Power System with High Penetration of Renewables,No.5229DK230001). （高占比新能源电力系统宽频振荡风险评估技术研究及应用,5229DK230001）
