Research on market operation of power supply virtual power plant based on system dynamics

Abstract

The operating income of power supply virtual power plants is greatly affected by factors such as weather, external electricity prices and popular policy mechanisms. How to sort out and analyze the factors affecting the participation of power supply virtual power plants in the market operation and how to enhance the flexibility of virtual power plant operation decision becomes an urgent problem to be solved. This paper proposes a system dynamics-based approach to analyze the factors influencing the market operation of power supply virtual power plants. First, a system dynamics model of power supply virtual power plants participating in the day-ahead market is built, dividing the distributed generation (DG) module and the day-ahead market module. Then analyze the impact of weather and real-time electricity prices on the short-term operation of virtual power plants. On the basis of this, a system dynamics model of the long-term market for power supply virtual power plants is built, taking into account the impact of the green certificate trading mechanism and carbon trading mechanism on the long-term operation of virtual power plants. By simulating the impact of different factors and policy mechanisms on the strategies of power supply virtual power plants participating in the day-ahead market and long-term market through arithmetic examples, we provide a theoretical basis for the adjustment of bidding strategies of power supply virtual power plants participating in the market and constructive suggestions for the promotion of virtual power plants and different policy mechanisms.