基于灰靶决策和多目标布谷鸟算法的微电网分布式电源鲁棒优化  

Robust optimization of distributed generation in a microgrid based on grey target decision-making and multi-objective cuckoo search algorithm

作　　者：杨欢红 王洁 邰能灵[2] 丁宇涛 YANG Huanhong;WANG Jie;TAI Nengling;DING Yutao(School of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Department of Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海电力学院电气工程学院,上海200090 [2]上海交通大学电气工程系,上海200240

出　　处：《电力系统保护与控制》2019年第1期20-27,共8页Power System Protection and Control

基　　金：上海绿色能源并网工程技术研究中心项目资助(13DZ2251900);国家自然科学基金项目资助(51377104)~~

摘　　要：风机、光伏等可再生能源出力和负荷需求的不确定性给微电网稳定运行带来挑战。首先,针对这一特性,构建约束条件的不确定集,综合考虑运行成本和环境成本,建立微电网多目标鲁棒调度模型,并引入鲁棒不确定预算调节不确定集合的保守度。其次,采用基于Pareto支配策略的改进的非线性多目标布谷鸟算法求出Pareto最优解集,并利用多目标灰靶决策从Pareto最优解集中选择出满意方案。最后,针对一个小型微电网系统建立优化模型并求解,对比分析仿真结果,验证了所提方法的可靠性和有效性。There are uncertainties in load demands and renewable energy outputs of wind turbine and photovoltaic.These factors bring great challenges to the stable operation of microgrids.In view of the characteristic,firstly,the uncertainty set of the constraints is constructed and the operating cost and the environmental cost are considered.Thus,the multi-objective robust scheduling model of the microgrid is built.Also,robust uncertainty budget is introduced to adjust the conservatism of the uncertainty set.Secondly,an improved and nonlinear multi-objective cuckoo search algorithm based on Pareto domination is used to solve the Pareto optimal solution set.Based on multi-objective grey target decision-making,the satisfactory solution is selected from the optimal solution set.Finally,the scheduling model for a small microgrid is established and solved.The simulation results are compared to verify the reliability and validity of the proposed method.

关 键 词：微电网 鲁棒不确定预算 Pareto支配策略 多目标布谷鸟算法 灰靶决策 

分 类 号：TM73[电气工程—电力系统及自动化]