智能城市2026，Vol.12Issue(1)：7-13,7.DOI:10.19301/j.cnki.zncs.2026.01.002
极端灾害情况下虚拟电厂调度优化研究
Research on optimization of virtual power plant scheduling under extreme disaster situations:A case study of Chengdu's extreme persistent high temperature weather
摘要
Abstract
The article focuses on the extreme and persistent high-temperature weather in Chengdu and studies the optimal scheduling problem of virtual power plants under extreme disaster conditions.By aggregating distributed power sources,energy storage,and load resources,a multi-objective optimization scheduling model is constructed,which is solved using an improved particle swarm optimization algorithm.The model comprehensively considers cost,energy efficiency,and grid stability,introducing dynamic parameter adjustment and density analysis to enhance the algorithm's global search and convergence performance.The results show that the optimized scheduling scheme can effectively reduce operating costs,improve energy utilization,and significantly enhance voltage and frequency stability under extreme high temperatures.This study provides a reference for intelligent scheduling and emergency response of virtual power plants under extreme weather conditions.关键词
虚拟电厂/优化调度/极端天气/电力系统Key words
virtual power plant/optimization scheduling/extreme weather/power system分类
信息技术与安全科学引用本文复制引用
李廷,赵智勇..极端灾害情况下虚拟电厂调度优化研究[J].智能城市,2026,12(1):7-13,7.基金项目
国家社科基金重大项目(24&ZD106) （24&ZD106）
国家社科基金一般项目(21BZZ058) （21BZZ058）
