考虑不确定性的并网型微电网容量优化配置  

Capacity configuration optimization of grid-connected microgrid considering uncertainty

作　　者：郭宇 吕红芳(指导)[1] 王冰昆 GUO Yu;LV Hongfang;WANG Bingkun(School of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)

机构地区：[1]上海电机学院电气学院,上海201306

出　　处：《上海电机学院学报》2021年第2期69-75,共7页Journal of Shanghai Dianji University

摘　　要：针对风、光、负荷不确定性给风光储并网型微电网带来的影响。通过多状态理论对风光出力和负荷进行处理,以条件风险价值(CVaR)将微电网的运行风险转化为平均风险损失加入经济性的目标函数中,在不确定性框架下建立容量优化模型。通过并行遗传算法对模型进行求解,对比没有考虑不确定性因素下的配置结果,将两种配置方案在随机场景下进行分析比较。验证了本文所述方法在满足经济性的前提以及在不确定性因素影响下使微电网有更强的稳定性和鲁棒性。In view of the impact of wind,solar,and load uncertainty on the wind and solar storage grid-connected microgrid,this paper uses multi-state theory to deal with wind and solar output and load,converts the operation risk of microgrid into average risk loss with conditional value-at-risk(CVaR)and adds it to the economic objective function,and establishes a capacity optimization model under the framework of uncertainty.The model is solved by parallel genetic algorithm,and the configuration results without considering the uncertain factors are compared,in which the two configuration schemes are analyzed and compared in random scenarios.It is verified that the method described in this paper can satisfy the economic premise and provide the microgrid with greater stability and robustness under the influence of uncertain factors.

关 键 词：并网型微电网 不确定性分析 多状态建模 并行遗传算法 

分 类 号：TM743[电气工程—电力系统及自动化]