Research on Reactive Power Optimization Control Strategy of Distribution Network with Photovoltaic Generation

What the thesis studies is the active and reactive decoupling control method of photovoltaic grid-connected inverter, and then the reactive power of grid-connected inverter is optimized by genetic algorithm with the objective of minimizing network loss, So as to realize reactive power optimization control of the photovoltaic power generation system.An algorithm based on genetic algorithm for reactive power optimization of photovoltaic power generation and distribution network is proposed. A mathematical model for reactive power optimization of distribution network has been established. The mathematical model includes those of photovoltaic power generation system Considering the limits of not only minimum network loss but also node voltage, what is used to optimize the reactive power of photovoltaic power generation is genetic algorithm. The example simulation results indicate the designed optimization algorithm is effective and correct in reducing power loss and improving voltage quality.