Abstract

Electrical energy generation can now be additionally supported by renewable energy resources (RER), such as photovoltaic (PV) or solar, biomass, and wind. When distributed energy resources are connected to the grid, the upgrading of power quality is a major issue due to power electronic circuit developments in recent years. Identifying suitable converters for connecting PV and wind to the grid with sufficient power quality (harmonic performance and input power factor) is a significant task. The proposed work discussed in this chapter identifies the optimal converter topology for PV and wind systems that are coupled to the grid. From the literature survey, it is inferred that the selective harmonic elimination pulse-width modulated (SHEPWM) inverter is a preferred technique to reduce harmonics of lower order and is suitable for grid-connected PV systems. The SHEPWM inverter based on the genetic algorithm (GA) for grid-connected PV systems is modeled and verified under various modulation indices (MIs) to provide optimum output. For wind energy conversion systems (WECSs), a single-stage AC-AC converter or matrix converter (MC) is proposed. The main problem with the MC is that its input current is highly sensitive to distortions in the input supply and the output load. To decrease this, an MC with a GA optimized proportional and integral (PI) controller and model reference adaptive system (MRAS) observer has been modeled. Both the optimized converters fed distributed renewable energy resources with proven better power quality when coupled to the grid. To further validate the proposed converters (optimized SHEPWM inverter and optimized MC), their performances are compared with conventional converter-fed PV and wind systems. The performances of input power factor (IPF), input and output total harmonic distortion (THD), and lower-order harmonics were analyzed for different load conditions using MATLAB and Simulink.

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