基于改进鲸鱼算法的并网型微网能量管理  

Grid-connected Micro-grid Energy Management in Improved Whale Algorithm

作　　者：谢姿 张惠娟[1] 刘琪[1] 李玲玲[1] XIE Zi;ZHANG Hui-juan;LIU Qi;LI Ling-ling(State Key Laboratory of Reliability and Intellectualization of electrical equipment jointly built by province and Ministry,Hebei University of Technology,Tianjin 300130,China)

机构地区：[1]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,天津300130

出　　处：《科学技术与工程》2020年第15期6087-6093,共7页Science Technology and Engineering

基　　金：河北省自然科学基金(E2018202282);天津市自然科学基金重点项目(19JCZDJC32100);河北省教研课题(2017GJJG020)。

摘　　要：为解决并网型风/光/柴/储微电网的能量管理问题,以经济性和环保性为目标函数,考虑各发电设备安全稳定运行作为约束条件,构建并网型微网容量优化配置模型;采用差分排序和差分变异的优化策略且引入Lévy飞行轨迹的机制来改善标准鲸鱼算法(whale optimization algorthm,WOA)的收敛精度和收敛速度;基于所提的风-光-储-网-柴的调度策略,采用改进鲸鱼算法求解配置模型。挑选某地一年四季4个典型日进行案例分析。结果表明:本文所提出的调度策略和配置模型具有合理性;改进的WOA算法能够有效地解决微网能量管理问题,在全局搜索和寻优能力方面具有优势。To solve the problem in energy management of grid-connected micro-grid energy storage from windmill,solar panel,and oil-based power generators,the optimal capacity allocation model of grid-connected micro-grid was constructed,in which economy and environmental protection are aimed,the safe and stable operation of all power generation equipment are considered as constraint conditions.Using a hybrid difference sorting optimization and mutation operator,the difference mutation strategy was adjusted randomly and Lévy flight trajectory mechanism was introduced to enhance the convergence accuracy and speed of standard whale algorithm(WOA).Based on the WSO energy storage micro-grid scheduling strategy proposed in this paper,an improved whale algorithm was used to solve the configuration model.Four typical days in a certain place were selected for case analysis.Results show that the scheduling strategy and configuration model were reasonable.The improved WOA algorithm could effectively solve the problem of micro-grid energy management,and had advantages in global search and optimization.

关 键 词：并网型微网 容量优化配置 变异算子 Lévy飞行 改进鲸鱼算法 

分 类 号：TM71[电气工程—电力系统及自动化]