Abstract: With the deployment of internet of things （IoT） platform， a massive number of flexible resources at demand side can be aggregated into a virtual power plant （VPP） with ubiquitous interconnection and involved in the power market trading by providing demand response， so as to mitigate the peak demand of power system. For the need of instantaneity， dispersion and autonomous coordination of VPP members in the real-time trade， this paper proposes a real-time energy market model adapted to the participation of VPP， and adopts a distributed dispatch method based on the coordination between users and edge nodes， for the objective of offering proactive demand response. In this method， the VPP allocates the bidding power to edge nodes using a projective function based on aggregate capability of each edge. Then， edge node and users compute and interact the responsive power iteratively using an alternating direction method of multipliers. Finally， a practical case study is conducted in order to verify the effectiveness of the proposed algorithm. The results show that the method can meet the need for VPP in providing instant and efficient real-time response.

Key words: virtual power plant, internet of things, real-time power market, demand response, alternating direction method of multipliers