Optimal Control Method for Renewable Energy Generation Based on Power Angle Stability of Sending-End Grid
The increasing penetration of renewable energy in sending-end grids introduces significant power angle and voltage stability challenges due to the stochastic and fluctuating nature of renewable generation. This paper proposes an optimal control method for renewable energy generation to enhance the power angle stability of sending-end grids. First, a model of a renewable energy generation transmission system is established, and the output power of renewable sources is optimized based on sending-end grid stability. Second, the dynamic responses of power angle and voltage under disturbances are analyzed, and a virtual power angle model characterizing the dynamic behavior of renewable energy units is derived. Third, a power angle stability control model based on energy fluctuation is developed to analyze the impact of energy fluctuations on power angle stability. Finally, a multi-objective optimization algorithm based on neural networks is employed to minimize power angle deviation and maximize transient stability margin of the sending-end grid. Simulation results validate the effectiveness of the proposed method. The method demonstrates significant improvements in grid stability, renewable energy utilization, and reduction of system power angle oscillations, thereby effectively enhancing the power angle stability of sending-end grids with high renewable penetration.