Optimization of PI Controller Using Hybrid Algorithm (GA-PSO) to Reduce Harmonics in Photovoltaic Systems by (Q-ZSI)
Abstract
Connecting solar arrays to the main power grid requires an inverter to convert direct current into alternating current. Traditional inverters use electronic devices to convert electricity, which causes time-consuming switching operations and total harmonic distortion (THD) at the inverter output, and ultimately disrupts the power quality in photovoltaic systems. Considering the aforementioned disadvantages of the inverter, in this study, a quasi-impedance source inverter (Q-ZSI) with shoot-through capability was used for power conversion. The latest solution to reduce three-phase inverter losses in this study is the accurate selection of proportional integral (PI) controller parameters using genetic algorithm-particle swarm optimization (GA-PSO), which has been able to improve pulse width modulation (PWM) signals and ultimately reduce harmonics at the output by reducing the overall operating time and appropriate switching in three-phase inverter bridges. The aim of this study is to reduce the losses on the direct-current (DC) side of the inverter. Before connecting the power received from the photovoltaic system to the main grid, the control system operates in a manner that reduces the non-linear loads that cause disturbances and reactive power generation in the grid (AC). The proposed structure is more effective than fuzzy methods and various filtering methods for suppressing harmonics in the inverter, and can create a stable power grid. The results obtained were presented using the MATLAB/Simulink software.
Keywords: photovoltaic system; hybrid algorithm; total harmonic distortion; quasi-impedance source inverter; proportional integral controller; pulse width modulation
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