Optimal dispatching strategies of active power for DFIG wind farm based on GA algorithm

Abstract

With the increase of wind power penetrating on power systems, the nature of randomness, intermittency and fluctuation of wind power becomes one of major factors impacting the stability and safety of the power grid. Therefore, it is thus critical to design advanced dispatching strategies such that the power of wind farm satisfies the stability and quality requirements of the power grid, as conventional power plant. This paper focuses on wind farms with DFIG wind turbines, and finds the control strategies using the information of ultra-short term power prediction and real-time operation status of wind generators adjust active power for different wind turbines under various operating conditions. Also, the simple models of wind turbine and wind farm are built. Furthermore, an optimal allocation model of the active power for wind farm is created by minimizing the error produced by the active power output of wind farm and the power demand, which also minimizes the start/stop counts of wind turbines. The optimization problem is solved by using genetic algorithm. The simulation results demonstrate that the proposed method is feasible and effective. Furthermore, it has a better performance comparing to the conventional proportional method to the active power allocation.