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含多微网系统的主动配电网分层能量优化管理
引用本文:孙文治,张惠娟,谢姿,李玲玲,梁贺.含多微网系统的主动配电网分层能量优化管理[J].科学技术与工程,2022,22(1):202-210.
作者姓名:孙文治  张惠娟  谢姿  李玲玲  梁贺
作者单位:河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,河北工业大学省部共建电工装备可靠性与智能化国家重点实验室
基金项目:天津市自然科学基金资助项目(19JCZDJC32100); 河北省自然科学基金资助项目(E2018202282)
摘    要:为实现含多微网系统的主动配电网的经济效益最优,通过引入自适应权重系数来进行动态优化。构建一种主动配电网层以发电机组运行成本最低,多微网系统层以经济成本和环境成本最低的分层能量优化管理模型。采用变异、杂交和竞争策略以及Lévy飞行策略改善麻雀搜索算法,提高算法的种群多样性和收敛精度。基于所设计的多微网系统混合配置运行策略,采用改进麻雀搜索算法进行模型求解。选取某地区两种典型日进行算例分析。结果表明:本文提出的优化模型、运行策略和改进算法可以有效降低主动配电网和多微网系统的经济效益,同时改进算法能够在全局寻优能力方面具有一定的优势。

关 键 词:主动配电网    多微网系统    改进麻雀搜索算法    混合配置    分层能量优化管理
收稿时间:2021/3/24 0:00:00
修稿时间:2021/12/22 0:00:00

Hierarchical Energy Optimization Management of Active Distribution Network with Multi-microgrid System
Sun Wenzhi,Zhang Huijuan,Xie Zi,Li Lingling,Liang He.Hierarchical Energy Optimization Management of Active Distribution Network with Multi-microgrid System[J].Science Technology and Engineering,2022,22(1):202-210.
Authors:Sun Wenzhi  Zhang Huijuan  Xie Zi  Li Lingling  Liang He
Institution:State Key Laboratory of Reliability and Intellectualization of electrical equipment jointly built by province and Ministry,Hebei University of Technology,,State Key Laboratory of Reliability and Intellectualization of electrical equipment jointly built by province and Ministry,Hebei University of Technology,State Key Laboratory of Reliability and Intellectualization of electrical equipment jointly built by province and Ministry,Hebei University of Technology,State Key Laboratory of Reliability and Intellectualization of electrical equipment jointly built by province and Ministry,Hebei University of Technology
Abstract:In order to achieve the optimal economic benefits of the active distribution network with multi- microgrid system, dynamic optimization is carried out by introducing adaptive weight coefficients. A hierarchical energy optimization management model is constructed, with the lowest operating cost of generating units at the active distribution network layer and the lowest economic cost and environmental cost at the multi-microgrid system layer. Mutation, hybridization, competition strategies and Lévy flight strategy are used to improve the sparrow search algorithm, which increase the algorithm"s population diversity and convergence accuracy. Based on the designed multi-microgrid system mixed configuration operation strategy, an improved sparrow search algorithm is used to solve the model. Two typical days in a certain area are selected for analysis. The results show that the optimization model, operation strategy and improved algorithm proposed in this paper can effectively reduce the economic benefits of active distribution network and multi-microgrid system, and the improved algorithm can have certain advantages in the global optimization capability.
Keywords:active distribution network  multi-microgrid system  improved sparrow search algorithm  mixed configuration  hierarchical energy optimization management
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