可再生能源2025，Vol.43Issue(6)：829-838,10.
基于改进Harris Hawk优化算法的虚拟电厂优化调度研究
Optimal scheduling of virtual power plants based on improved Harris Hawk optimization algorithm
摘要
Abstract
In this study,a scheduling strategy based on the improved Harris Hawk optimization algorithm is proposed for the optimal scheduling problem of virtual power plants.The strategy aims to improve the economy and environmental friendliness of a virtual power plant containing solar photovoltaic,wind,fuel cell,and combined heat and power units.And this strategy introduces an electric vehicle and an energy storage system as a flexible reserve and spinning back-up,respectively,to build a virtual plant flexibility aggregation model,and to optimize the dispatch scheme by the improved Harris Hawk optimization algorithm.Finally,a comprehensive day-ahead scheduling and short-term scheduling analysis is carried out.The findings indicate that the strategy proficiently addresses the unpredictability of renewable energy sources,enables the power tracking of the contact line,and introduces fresh perspectives and methodologies for the coordinated and optimal dispatching of virtual power plants.关键词
虚拟电厂/改进Harris Hawk优化算法/灵活性聚合/日前和短期调度Key words
virtual power plant/improved Harris Hawk optimization algorithm/flexibility aggregation/day-ahead and short-term scheduling分类
能源科技引用本文复制引用
丁君,秦浩庭,苏鹏,曾雪松,李竞轩,郝巍..基于改进Harris Hawk优化算法的虚拟电厂优化调度研究[J].可再生能源,2025,43(6):829-838,10.基金项目
四川省重点研发计划项目(2024YFHZ0138). （2024YFHZ0138）
