A New Approach for Reactive Power/Voltage Optimization Control of Regional Grid

This paper puts forward a new approach for reactive power/voltage optimization control. Based on the correlation between network power loss and node voltages/injected reactive power, a dynamic adaptive adjusting method for penalty factors is presented. Particle swarm optimization algorithm (PSO) is utilized in the optimization process. Original PSO is easy to fall into a locally optimized point, to address this problem, an improved stochastic crossover PSO is proposed, which can modify the positions of the current particles using the information of the global best particle. The proposed algorithm can increase population diversity and enhance convergence speed. In addition, the stage-by-stage optimization strategy and secondary optimization strategy are introduced in order to improve the voltage quality under non-ideal operating conditions and achieve coordinated control between provincial and regional automatic voltage control (AVC). The proposed approach is applied to AVC system, the results of a practical regional grid verify the feasibility and effectiveness of the approach, and it can reduce the power loss and improve the voltage quality of power systems.