Coordinated Interactive Optimization Model of Multiple Green Power Entities for UHV Supporting New Energy

Aiming at the characteristics of ultra-high voltage supporting new energy power grid, this paper proposes a coordinated interactive optimization model of multiple green power entities. Based on the principle of game theory, this model constructs a multi-objective optimization framework to realize the coordinated dispatch of various green power entities in the inter-provincial transmission network. The model solves the dynamic game among multiple entities, and optimizes the power allocation strategy of each entity under the conditions of power balance constraints, power flow constraints, voltage constraints and line transmission capacity constraints to ensure the safe and stable operation of the power grid. This paper first analyzes the relationship between ultra-high voltage power grid and new energy supporting, establishes mathematical models of wind power clusters, photovoltaic clusters and energy storage, and clarifies the coordinated interaction mechanism between various entities. Subsequently, this paper proposes a collaborative optimization algorithm based on Nash equilibrium, and discusses in detail the solution process and its application in the multi-objective model. Finally, the effectiveness of the model is verified through the simulation analysis of the IEEE39 node system. The simulation results show that the proposed model can significantly improve the economic benefits of the system and the utilization rate of new energy, while effectively reducing the operating cost and network loss of the system.