A variable droop coefficient-based reactive power coordinated control strategy in wind farm

In response to the complexity of existing reactive power allocation methods in wind farms and their neglect of power loss generated by internal reactive power transmission, an optimization model based on reactive power compensation coefficient and sensitivity factor, and a hierarchical coordinated control strategy of reactive power based on variable droop coefficient were proposed. Based on considering the mutual coordination and internal losses among the wind turbines, the reactive power optimization model is simplified using reactive power compensation coefficients and sensitivity factors. With the optimization objective of minimizing grid loss and satisfying the constraints of voltage stability range, obtain the optimal droop coefficient for each wind turbine. When solving the optimization problem, an improved non-dominated sorting genetic algorithm (NSGA-II) was utilized, which combined with the simplified model established in this paper, the accuracy and speed of obtaining the Pareto optimal solution set could be improved. Finally, numerical examples were used to verify that the control strategy can reduce wind farm losses while maintaining voltage stability, effectively improving the operation stability and economic efficiency of wind farms.