电器与能效管理技术Issue(5)：23-29,7.DOI:10.16628/j.cnki.2095-8188.2026.05.004
基于自适应鲸鱼算法和灰色聚类模型的综合能源系统调度策略设计
Scheduling Strategy Design of Integrated Energy System Based on Adaptive Whale Algorithm and Grey Clustering Model
霍启敬 1杨柯柯 1蒋玉虎1
作者信息
- 1. 国网河北省电力有限公司 邯郸供电分公司,河北邯郸 056000
- 折叠
摘要
Abstract
To address the issues of low scheduling accuracy and low efficiency in traditional integrated energy system scheduling strategies under complex grid conditions,an intelligent dispatch strategy combining the adaptive whale algorithm with a grey clustering model is proposed.The whale algorithm is improved by dynamically adjusting inertia weight and convergence factors to enhance its global and local search capabilities.Additionally,a grey clustering model is employed to evaluate and classify equipment status,providing precise information support for dispatching.Experimental results show that the strategy achieves scheduling accuracy and efficiency of more than 99％,effectively reducing system operational costs and energy losses while significantly improving system performance and reliability.The research concludes that this method provides an effective foundation for intelligent optimization dispatching in power systems.关键词
综合能源系统/自适应鲸鱼算法/灰色聚类模型/调度策略/实验对比Key words
integrated energy system/adaptive whale algorithm/grey clustering model/scheduling strategy/experimental comparison分类
信息技术与安全科学引用本文复制引用
霍启敬,杨柯柯,蒋玉虎..基于自适应鲸鱼算法和灰色聚类模型的综合能源系统调度策略设计[J].电器与能效管理技术,2026,(5):23-29,7.
