Study of reactive power compensation based on neural network

As a promising renewable alternative, a significant contribution to a photovoltaic power generation system in the future, but also brought new problems related to the integration of power quality, including voltage control and reactive power compensation. This study proposes a new adaptive neural network DC / AC converter-based control. In this study, the use of neural network control to increase the DC / AC converter transient response. Aiming at these problems, explore the effect of reliability and power quality and reactive power compensation system optimization, and propose coherent active and reactive power distribution in order to alleviate this problem. In an area of photovoltaic power plant simulation. Simulation results verify the effectiveness of the method. The results show that the proposed method helps to achieve this adaptive control.