Optimal Allocation of Reactive Power Source in Wind Farms Using Sensitivity Analysis and Tabu Algorithm

Considering wind farms real operation characteristics, a novel method using sensitivity analysis and Tabu algorithm for reactive power compensation allocations is proposed. In this paper, the sensitivity coefficient is defined as partial derivative of voltage/reactive power. The nodes that have higher sensitivity coefficient are selected for install capacitors or SVC to reduce the voltage to the largest extent. The stochastic primary solution of the problem is obtained by Tabu algorithm, and then an optimized solution is achieved by iterative solving algorithm. At last the proposed method tested in an actual wind farms in Inner Mongolia, computational results show that the proposed method is feasible and effective.