1.Key Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province (Yanshan University), Qinhuangdao 066004, China;2.Qinhuangdao Power Supply Company of State Grid Jibei Electric Power Company Limited, Qinhuangdao 066000, China

With the development of Energy Internet technology, virtual power plant has become an effective way to aggregate and control large-scale distributed resources. How to aggregate virtual power plants to release the adjustable potential of distributed resources is a key technical problem. This paper focuses on the optimization of the resource aggregation for virtual power plants, and proposes a planning method for the resource aggregation of virtual power plant based on dynamic reconstruction. Firstly, a virtual power plant joining incentive mechanism is built to encourage high-quality resources to participate in aggregation. Secondly, according to the multiple and different characteristics of massive distributed resources, a method for resource feature extraction and classification is proposed to provide data basis for the resource aggregation of virtual power plant. Then, the decision model of resource joining intention is established and its joining capacity is evaluated. On the basis of the above, according to the dynamic change laws of distributed resources and electricity markets, the dynamic reconstruction optimization strategy of virtual power plant is proposed, and the phased dynamic aggregation planning of virtual power plant is carried out, and the two-layer optimization model of virtual power plant aggregation and operation is established to solve it. Finally, the case analysis proves the feasibility and superiority of the proposed method in solving the problem of virtual power plant aggregation planning.

This work is supported by National Natural Science Foundation of China (No. 51607153).