Research on Optimal Scheduling of Virtual Power Plant Considering the Cooperation of Distributed Generation and Energy Storage Under Carbon Rights Trading Environment

Under the background of “Carbon Peak, Carbon Neutralization” national strategic carbon reduction goal, establishing an appropriate carbon trading mechanism is an effective way to achieve carbon reduction . This paper establishes an optimal model of economic and environmental dispatching for a virtual power plant (VPP) which contains energy storage, gas turbine, wind power and photovoltaic generation when it participates in carbon trading. Firstly, the carbon trading mechanism is introduced, and the scenario generation method considering the uncertainty of wind power based on Gaussian kernel function theory is formed to get the classical scene curve of wind power. Then, a mixed integer quadratic programming model for coordinated dispatch of distributed power and energy storage in VPP under carbon trading environment is established with the objective of minimizing the total cost of VPP. Finally, the example validation shows that the model reduces the total cost and total carbon emissions of the system, greatly improves the consumption of clean energy, and makes the scheduling of virtual power plants take into account both economic and environmental benefits.