计及条件风险价值下基于合作博弈的多微网协同优化调度  

Cooperative Optimal Scheduling of Multi-microgrids Based on Cooperative Game Considering Conditional Value at Risk

作　　者：帅轩越 王秀丽[1] 吴雄[1] 彭巧 章力凯 黄屹俊 SHUAI Xuanyue;WANG Xiuli;WU Xiong;PENG Qiao;ZHANG Likai;HUANG Yijun(School of Electrical Enginnering,Xi’an Jiaotong University,Xi’an 710049,Shaanxi Province,China;State Grid Shanghai Electric Power Company,Pudong New Area,Shanghai 200122,China)

机构地区：[1]西安交通大学电气工程学院,陕西省西安市710049 [2]国网上海市电力公司,上海市浦东新区200122

出　　处：《电网技术》2022年第1期130-137,共8页Power System Technology

摘　　要：伴随大规模弃风、弃光现象的出现,如何提高微网系统对可再生能源的消纳具有重要意义。首先,综合考虑热电联产、热泵、电储能以及热储能等设备建立了多微网系统的框架。其次,由于不同微网的风电出力、负荷需求以及设备参数具有异质性,考虑多个微网之间存在协同合作的可能,阐述了能源互补提高整体收益的本质。在此基础上,计及了微网间传输功率的限制,建立了基于合作博弈的多微网系统协同优化调度模型,并提出按微网交互贡献度分配的方法,克服了在微网群规模较大的场景下利用Shapely值分摊计算量大的不足。进一步,考虑到多微网内风电与负荷的不确定性,建立基于条件风险价值的随机规划模型。通过实例仿真分析可知,所提出的模型能够有效减少各微网调度成本以及微网合作联盟的调度总成本,同时减少对主网功率交互的影响,所考虑的条件风险价值也为多微网系统在经济效益与风险水平之间的权衡提供参考方案。With the emergence of large-scale abandonment of wind and light, how to improve the consumption of renewable energy for a microgrid system is of great significance. Firstly, CHP, heat pump, electric energy storage and thermal energy storage are considered to establish the framework of multi-microgrid system. Secondly, due to the heterogeneity of wind power output, load demand and equipment parameters of different microgrids, considering the possibility of cooperation among several microgrids, the essence of energy complementarity to increase the overall profits is explained. On the basis of this situation, takes into account the limitation of transmission power between microgrids, and establishes an optimal scheduling model for multi-microgrids based on cooperative game. A distribution method is proposed based on the interaction contribution of each microgrid, which overcomes the disadvantage the large amount of calculation allocated by the the Shapely value in the scenario of a large microgrid group. Furthermore, a stochastic programming model based on conditional value-at-risk is established considering the uncertainty of wind power and load in multi-microgrids. The simulation analysis shows that the model proposed is able to effectively reduce the scheduling costs of each microgrid and the total scheduling costs of the microgrid alliance, and at the same time reduce the impact on the power interaction of the main network. The CVaR we consider also provides a reference scheme for the trade-off between economic benefits and risk level of the multi-microgrid system.

关 键 词：多微网系统 合作博弈 能源管理 收益分配 不确定性 

分 类 号：TM721[电气工程—电力系统及自动化]