Sine wave inverter of small wind power based on genetic algorithm optimize BP neural network

In order to improve the power supply quality of sine wave inverter for small wind power system, a control method that combines BP neural network (BPNN) with genetic algorithm (GA) is proposed in this paper. The BPNN is optimized by means of the GA to avoid the BPNN falling into local optimum value, and the optimized BPNN can better control the power output of the designed sine wave inverter. Simulation study is done under MATLAB, and the results show that the proposed method of the GA optimize the BPNN can make the inverter to produce better waveform quality as well as adaptability under variable loads and wind speed. So the sine wave inverters with the GA optimizing the BPNN can meet the application requirements of small wind power system.