Study On Control Strategy Of Airport Photovoltaic Conversion Energy Storage Station

At present,airports mainly rely on thermal power generation to supply electricity to their electrical equipment,resulting in increased carbon emissions and increasingly serious environmental pollution.In order to improve this situation,photovoltaic power generation technology can be applied to the airport construction,which can not only promote airport energy conservation and emission reduction,reduce environmental pollution,but also decrease the cost of airport operations,to a certain extent,it has far-reaching significance to promote the sustainable and rapid development of my country’s aviation industry.In this thesis,the off-grid photovoltaic power generation system of the airport is taken as the research object,in order to improve the efficiency of photovoltaic power generation and suppress the fluctuation of photovoltaic output power and load power,the maximum power point tracking control of the photovoltaic array,the battery energy storage control and the DC inverter control are analyzed and studied in detail.In terms of maximum power point tracking,the equivalent circuit mathematical model of photovoltaic array under uniform illumination and local shade is established firstly,and its output characteristics under different working conditions are simulated and analyzed on this basis,which lays a foundation for the following maximum power point tracking control.Aiming at the deficiency of traditional photovoltaic maximum power point tracking control algorithm,and a particle swarm optimization algorithm based on inertia weight decrement and dynamic change of learning factor is proposed to control the boost converter,which is used to improve the tracking accuracy of the maximum output power point of the photovoltaic array and reduce its oscillation.In terms of energy storage design,the H-bridge topology is used for the bidirectional DC/DC converter,the working principle of the bidirectional converter is analyzed and its mathematical model is established.Aiming at the disadvantage of large chattering in sliding mode control,and an energy storage control method that combines sliding mode control and model predictive control is proposed to control the working mode of bidirectional DC/DC converter and effectively adjust the direction and magnitude of energy transmission between the DC bus and the battery,and to maintain the bus voltage stability.In terms of inverter control,the mathematical model of the single-phase full-bridge inverter was established,the filter parameters were reasonably designed,and the bipolar Sine Pulse Width Modulation(SPWM)technology was used for the power tube.Aiming at the deficiency of traditional PI control on Sine tracking,a voltage RMS closed-loop inverter control strategy is proposed to improve the steady-state accuracy of output voltage and reduce waveform distortion.Finally,the proposed control strategy is simulated in the MATLAB,and the results verify the correctness and effectiveness of the proposed particle swarm optimization maximum power point tracking control strategy,sliding mode predictive energy storage control strategy and voltage RMS closed-loop inverter control strategy.