太赫兹科学与电子信息学报2025，Vol.23Issue(4)：416-422,7.DOI:10.11805/TKYDA2023262
基于多目标优化的源网荷储协调调度求解
Solution for coordinated scheduling of source-grid-load-storage based on multi-objective optimization
宋明曙 1苏常胜 1吴茂乾 1宋炜 2何凯2
作者信息
- 1. 国网新疆电力有限公司,新疆 乌鲁木齐 830017
- 2. 北京清能互联科技有限公司,北京 100080
- 折叠
摘要
Abstract
Aiming to address the issue of poor new energy accommodation capacity caused by single-objective optimization algorithms in the current coordinated dispatch process of source-grid-load-storage,a multi-objective optimization algorithm is combined to propose an optimized solution method for the coordinated dispatch problem of source-grid-load-storage.With the goals of minimizing dispatch costs and maximizing renewable energy accommodation,a multi-objective optimization function for coordinated dispatch of source-grid-load-storage is defined.Reasonable constraints are set from four aspects:energy components,main grid energy procurement,flexible load response,and energy storage devices.With the assistance of rough set theory,the weight coefficients of each dispatch optimization objective function are determined.An improved whale optimization algorithm with nonlinear weights is introduced to solve the multi-objective optimization function and derive the optimal coordinated dispatch plan.Experimental results show that after applying the dispatch optimization plan generated by the proposed method,the new energy accommodation percentage of the active distribution network reaches 97.25%,significantly enhancing the new energy accommodation capacity of the power system.关键词
多目标优化算法/源网荷储/协调调度/新能源消纳/约束/改进鲸鱼优化算法Key words
multi-objective optimization algorithm/source-grid-load-storage/coordinated dispatch/new energy accommodation/constraints/improved whale optimization algorithm分类
信息技术与安全科学引用本文复制引用
宋明曙,苏常胜,吴茂乾,宋炜,何凯..基于多目标优化的源网荷储协调调度求解[J].太赫兹科学与电子信息学报,2025,23(4):416-422,7.
