Local Autonomous Optimization based Virtual Power Plant Dispatch Strategy

Abstract

The load of central air conditioning can be transferred or reduced through reasonable control and has become an effective alternative resource for the adjustable capacity of power grid. In the demand response mode, the central air-conditioning load can be aggregated to form a virtual power plant to participate in the unified grid dispatching operation. In this paper, the virtual energy storage model of the central air-conditioning system is built based on the integrated thermal inertia. The paper also proposed the internal coordination control mechanism based on multiple agents. Furthermore, the regulatory potential of the central air-conditioning system is evaluated from the perspectives of adjustable power and sustainable time according to the virtual energy storage characteristics. The virtual power generation unit is constructed by means of comprehensive coordinated control so as to realize the standardized unified modeling of central air conditioning system. Finally, This paper proposes the strategy of virtual generating unit dispatch based on local autonomous optimization and the operation strategy of virtual power plant participating in grid peak regulation. Through the strategy the distributed optimal control of power generation resources is realized in virtual power plant and the pressure on virtual power plant operators is released. This paper has guiding significance for virtual power plant to participate in the actual dispatching operation of power network.