Wake Optimization Considering Constraint Change in Wind Farms

The investment in new energy power stations is vast, so the power generation efficiency is critical. The wake effect is an important factor affecting the power generation efficiency of wind farms. However, the existing wake optimization algorithms ignore the influence of wind speed change on the regulation range of tip speed ratio (TSR), which may lead to the actual failure of optimization results. Considering that the feasible interval of the optimization variables of the turbine in the wake area will change with the optimization of the front turbines. This paper models that change and proposes an optimization algorithm considering the constraint change to improve the accuracy of the wake optimization of the wind farm. The effectiveness of the proposed algorithm is verified by comparing the simulation results of the two algorithms with or without constraint changes in the same environment.