基于NSWOA的含风光微电网储能容量优化配置
Modified NSWOA Algorithm-based Optimization of Energy Storage Capacity for Microgrids Containing Wind and PV Generations
张翔 1李召 1韩子悦1
作者信息
- 1. 陕西理工大学电气工程学院,陕西 汉中 723000
- 折叠
摘要
为降低含风光储微电网的综合成本,进一步提升新能源的消纳率和源荷匹配度,研究了基于改进鲸鱼算法的储能容量优化配置方法.首先,不同于传统算法仅对单目标进行寻优,该算法改进为对三目标综合考虑寻优;其次,将鲸鱼算法与非支配算法相结合,避免种群选取聚集,寻优精度加大;最后,将 Logistic混沌映射引入鲸鱼位置搜索,鲸鱼位置在更新过程中通过控制参数进行修正,加快了寻优速度,使算法优化性能得到大幅度提高.通过对某地微电网实际数据的分析,验证了该算法的合理性和优越性.
Abstract
In order to reduce comprehensive cost of wind and solar storage microgrids,and further improve consumption rate of new energy and matching degree of source and load,this paper studies the optimization method of energy storage capacity based on a modified whale algorithm.First unlike the traditional algorithm which only searches for a single objec-tive,the algorithm in this paper is modified to search for the three objectives.Second the whale algorithm is combined with the non-dominated algorithm to avoid aggregation of population selection and increase optimization accuracy.Finally logistic chaos mapping is introduced into whale position searching,which is corrected by controlling the parameters in the process of updating position,and accelerates optimization speed and boosts optimization performance.The algorithm has been verified rational and superior by analyzing the actual data of microgrid in a certain place.
关键词
改进的非支配鲸鱼算法/多目标优化算法/微电网/储能/优化配置Key words
modified non-dominated sorting whale optimization algorithm/multi-objective algorithm optimization/micro-grid/energy storage/optimized determining引用本文复制引用
基金项目
国家自然科学基金面上项目(62176146)
陕西省教育厅重点科学研究项目(20JS018)
出版年
2024
NETL
NSTL
万方数据