Research on Economic Scheduling Methods Considering Risk Prevention Requirements

In order to assess the costs and benefits of various electricity generation and consumption entities in the power system, it is necessary to conduct research and analysis on the game theory equilibrium points of the economic scheduling problem. With the widespread integration of new energy units and the gradual increase in awareness of green electricity consumption among users, both the supply and demand sides of the power system exhibit new characteristics. Firstly, the low marginal cost characteristics of new energy units and the demand for green electricity on the consumer side will impact the mathematical formulation of the economic scheduling problem. Additionally, traditional analytical methods face challenges such as multiple variables and difficulty in solving when addressing nonlinear equilibrium problems. To address these challenges, this paper proposes an economic scheduling mathematical model for power systems that considers the production and consumption of green electricity. Subsequently, an equilibrium solution algorithm based on the optimal response method within the framework of game theory is introduced. Through case analysis, the equilibrium situation of the economic scheduling problem in the presence of renewable energy production and consumption is evaluated. The study also provides relevant suggestions for investment planning on the power generation side of the power system.