Low-carbon and economic scheduling of virtual power plant considering demand response and stepwise carbon trading

Abstract

Virtual power plants （VPPs） can effectively promote clean energy consumption and improve power system stability. An optimal scheduling model for VPPs considering demand response and stepwise carbon trading is proposed in the context of carbon peaking and carbon neutrality policy. Firstly， a model based on price-type demand response （PBDR） is established on the user side， and its operating characteristics are analyzed. Moreover， a calculation model for stepwise carbon trading cost applicable to the VPPs is built. With carbon trading cost and VPP operation cost minimization as the objective function and the unit operation constraints in the system being considered. A low-carbon scheduling model of VPPs considering demand response is constructed. Subsequently， CPLEX is invoked on the MATLAB software platform to solve the model， and the effectiveness of the proposed model in balancing the economy and low carbon is verified by setting different scenarios for comparative analysis. Finally， the impact of carbon trading price on the total cost of VPP and carbon emissions is analyzed.

Keywords

• virtual power plant
• demand response
• stepwise carbon trading
• low carbon
• economic operation