Research On Parallel Control Of Single-Phase Inverter For Wind And Solar Power

In order to achieve economic society’s sustainable development, the development and utilization of renewable energy has been widely appreciated. Wind and solar power is complementary, the combination of them can overcome shortcomings of separate power supply by wind and solar power. In the operation processing of wind power inverter parallel system, improper control method will affect the normal operation of the system for generated circulation.In this paper, wind and solar power inverter parallel system is the object of study, and the reliability of power supply system has been improved by the study of the inverter control method for parallel. The main contents are described as follows:Firstly, generating reasons of circulation in the parallel inverter have been analyzed, and the control method of parallel inverter has been discussed.Secondly, the wind and solar complementary power inverter parallel system’s control structure and operational characteristics have been analyzed. And the droop coefficient adaptive control strategy has been promoted. The droop coefficient can achieve adaptive adjusting with the changing of the load. Therefore the no static error output of inverter can be achieved. And a neural network regular has been designed according to the nonlinear characteristics of the inverter.Thirdly, a single inverter has been designed, which includes a filter circuit and a control circuit. With the utilization of voltage and current dual-loop feedback controlling of the control circuit, the inner current loop can improve system response time by controlling inductor current, and the outer voltage loop can control the voltage to setting value.Finally, two inverters in parallel simulation model have been built in the MATLAB/Simulink environment, and the proposed droop coefficient adaptive adjusting inverter parallel control method has been simulated identified. The simulation results show that the parallel of various capacities inverters can achieve load current sharing. And with the load changing, circulation inhibition can be achieved by the droop coefficient’s adaptive adjusting. The designed neural network regular can control the inverter to output higher waveform quality. The droop coefficient adaptive adjusting method proposed in this paper can achieve single-phase inverter run in parallel, and fulfill the requirement of wind and solar complementary power system.