Multi-objective Optimization of the Wind Farm Dispatch Problem Using Chaotic NSGA-II Algorithm

During the process of wind farm load dispatch, frequent changes of start-up and shut-down state will bring large hardware loss. The pitch angle control system is applied to adjust the power generation of wind turbine. If the allocated power of a wind turbine is far less than the available power generation, the large control pressure will bring large loss to the pitch angle control system. In order to reduce the hardware loss of wind turbines in the dispatching process, a multi-objective optimal dispatching model is established, which takes the times of startup and shut-down and the mean of the power limited index as the objective functions. The optimized chaotic algorithm of tent map is integrated into the NSGA-II algorithm to develop the chaotic NSGA-II (CNSGA-II) algorithm. The results of numerical simulations verify that the CNSGA-II algorithm has better search efficiency and convergence performance. The CNSGA-II algorithm is used to solve the wind farm load dispatch problem. The experimental results demonstrated the validity and correctness of the model and prove the convergence performance superiority of CNSGA-II algorithm over the NSGA- II algorithm.