Capacity Limitation Service for Multi-Energy Virtual Power Plants Based on Multi-Parametric Programming

Abstract

Multi-energy virtual power plants intend to aggregate multi-energy distributed resources and provide ancillary service to the power system. To exploit more flexibility of the synergy of multi-energy, multiple types of energy conversion equipment and thermal inertia of the commercial buildings are considered in this paper. A capacity limitation service model based on multi-parametric programming is proposed to overcome the difficulty that the power of the demand side distributed resources is difficult to be accurately controlled. Case studies based on an actual multi-energy industrial park in Beijing are conducted to validate the effectiveness of the proposed model.