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Genetic Algorithm Optimized Converter Topologies for Photo Voltaic System Integrated with Micro-Grid

机译：集成微电网的光伏系统遗传算法优化变换器拓扑

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摘要

This study proposes a system such that the performance improvement in load is achieved by providing micro grid connected Photo Voltaic (PV) system with Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) inverter and wind mill with matrix converter. The Genetic Algorithm (GA) is used to generate the gate pulse pattern (odd and even number of switching angles) for SHEPWM inverter over the range of modulation indices. The GA optimized PI controller based space vector modulation technique for matrix converter is implemented to reduce the selective specified lower order harmonics present in the load and also improves the input power fator of matrix converter. This optimized SHEPWM inverter through PV system and optimized matrix converter through wind mill system is simulated using MATLAB Simulink and verified with the experimental results independently. Simulation results prove the validity of the proposed system for both selective harmonics and Total Harmonic Distortions (THD) are reduced on the load side and also the input power factor is improved.
机译：这项研究提出了一种系统，该系统可以通过为微电网连接的光伏（PV）系统提供选择性谐波消除脉冲宽度调制（SHEPWM）逆变器以及带有矩阵转换器的风车来实现负载性能的改善。遗传算法（GA）用于在调制指数范围内为SHEPWM逆变器生成门脉冲模式（奇数和偶数个开关角度）。实现了基于遗传算法优化的基于PI控制器的矩阵转换器的空间矢量调制技术，以减少负载中存在的选择性指定低阶谐波，并改善矩阵转换器的输入功率。使用MATLAB Simulink对通过光伏系统优化的SHEPWM逆变器和通过风磨系统优化的矩阵变换器进行了仿真，并分别与实验结果进行了验证。仿真结果证明了所提系统对于选择性谐波和总谐波失真（THD）的有效性都在负载侧得到了降低，并且输入功率因数得到了改善。

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