计及分布式需求响应的多微电网系统协同优化策略

Multi-microgrid System Collaborative Optimization Strategy Considering Distributed Demand Response

在清洁能源高渗透态势下,多微电网系统协同优化成为促进清洁能源高比例消纳的有效手段,合理的分布式需求响应机制对于进一步提升清洁能源利用水平具有重要研究价值。因此,提出一种计及需求响应的多微电网协同优化机制,建立需求响应资源自主竞价模型,实现分布式需求响应。首先,考虑到需求响应补贴合同的激励特性,构建微电网自治优化调度模型,制定电力供需计划和需求响应策略。其次,各微电网参考历史成交信息,以预期效益最大为目标制定需求响应资源竞价策略。再次,为实现经济高效的分布式需求响应,在日前阶段引入双向拍卖机制搭建需求响应资源端对端匹配框架。最后,通过算例验证了所提机制能实现需求响应资源分布式交易,提升多微电网系统整体经济性,并有效促进清洁能源消纳。

With the increasing penetration of clean energy into existing power systems,the collaborative optimization of multi-microgrid systems has become an effective way to promote the utilization of clean energy.A reasonable distributed demand response mechanism has research significance for improving the capacity of clean energy consumption.In this study,a multi-microgrid collaborative optimization mechanism and an autonomous bidding strategy of demand response resources that consider the distributed demand response are proposed.First,a microgrid autonomous optimal dispatch model is established to formulate power supply-demand plans and DR strategies by considering the incentive characteristics of demand response contracts.Second,referring to historical transaction information,each microgrid proposes IDR bidding strategies to maximize prospective benefits.Third,to implement an economic and efficient distributed demand response,a two-way auction mechanism is introduced in the day-ahead stage to develop a peer-to-peer matching framework for demand response resources.Finally,numerical example results verify that the proposed mechanism can realize the distributed transactions of demand response resources,improve the economy of multi-microgrid systems,and effectively promote clean energy consumption.