考虑电动汽车集群响应的分布式资源协同调度策略研究

Research on the Collaborative Dispatch Strategy of Distributed Resources Considering the Response of Electric Vehicle Cluster

在国家政策的大力推动下,分散式风电大规模并网,给河南乡村配电网运行带来严峻挑战。为充分调动电动汽车(electric vehicle,EV)群需求响应及小型抽水蓄能灵活性资源参与电网协同调度,采用Takagi-Sugeno-Kang(TSK)模糊模型量化电动汽车群的响应意愿,以明确电动汽车集群充电功率的可调节裕度。在此基础上,提出一种计及电动汽车响应不确定性的风电-电动汽车群-小型抽水蓄能协同运行模型,以弃风惩罚和激励成本最小为目标函数引导电动汽车及抽水蓄能参与功率调节。基于信阳某乡村地区10kV配电系统,验证了考虑电动汽车响应意愿对促进风电消纳和提升运行经济性的有效性,以及与小型抽水蓄能共同形成“风-储-荷”运行的协同效果。

With the national policy of vigorously promoting wind power,the large-scale integration of distributed wind power has posed significant challenges to the safe operation of the rural distribution grid in Henan.In order to motivate the enthusiasms of the demand response of electric vehicle(EV)clusters and the flexible small-scale pumped storage power station to participate in grid coordinated dispatch,the response willingness of the EV cluster is quantified based on the Takagi-Sugeno-Kang fuzzy mode to obtain a schedulable margin of the cluster charging power.And then,considering the uncertainty of response willingness for the EVs,a collaborative operation model of the electric vehicle and small-scale pumped storage is established.Taking the minimum cost of wind power curtailment penalties and incentive as an objective function,we guide the participation of EVs and pumped storage in power adjusting.Take a rural area's 10 kV distribution network in Xinyang as an example,we verified that the proposed approach has effect in promoting wind power consumption and improving the operation economy.We also concluded that EVs in conjunction with small-scale energy storage can provide wind-storage-load collaborative operation.