Optimal scheduling for wind farms power generation based on partial information

This paper aims to solve the coupled problem of wind farms modeling and wind power generation optimal scheduling. The salient features of the proposed method are as follows: First, the multi-agent model of wind farms power generation is obtained, which consider the influence among wind turbines. Second, the task is formulated as an optimization scheduling problem in terms of wind power generation. Third, the controller is designed by considering the partial system information, and solved based on the Forward & Backward Stochastic Different Equations (FBSDE) and adjoint equations. Numerical simulations are adopted to verify the proposed optimization method for partial information cases.