研究目的
Investigating the simulation of a photovoltaic distributed generation system using a DC-AC power converter for injecting active power into the grid and acting as a shunt active power filter to mitigate harmonics of local nonlinear loads.
研究成果
The genetic algorithm effectively optimizes the search for controller coefficients, improving the operation of the power converter as a shunt power filter and reducing total harmonic distortion in the current injected into the grid. The algorithm's ability to find reduced gains with the same or better results is beneficial for control systems.
研究不足
The values of grid current THD were not significantly different from the system without genetic algorithm optimization, indicating potential areas for further improvement in the fitness function and algorithm.
1：Experimental Design and Method Selection:
The system simulation includes a DC-AC power converter with a reference current generator based on the synchronous reference frame, and PI plus multi-resonant controllers for current reference reproduction. A genetic algorithm is used to optimize controller gains.
2：Sample Selection and Data Sources:
The system is simulated using MatLab/Simulink? with parameters including input voltage DC, output voltage AC, current ripple, switching frequency, grid frequency, and output power.
3：List of Experimental Equipment and Materials:
Photovoltaic panels, DC-DC boost converter, voltage source inverter, and L-filter for network connection.
4：Experimental Procedures and Operational Workflow:
The system is designed to inject active power and mitigate harmonic content, with simulations confirming functionality.
5：Data Analysis Methods:
The genetic algorithm evaluates fitness based on average square error, RMS value of the error, and THD to optimize controller coefficients.
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