Development of a Grid-Connected PV–DFIG Hybrid Renewable Energy System with Advanced Control Strategies
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Abstract
This study presents the design and simulation of a hybrid renewable energy system developed in MATLAB/Simulink to enhance fault protection and ensure reliable power delivery. The proposed system integrates solar photovoltaic (PV) and wind energy sources to achieve efficient and stable power generation under varying environmental conditions. The solar subsystem is modeled using a PV array coupled with Maximum Power Point Tracking (MPPT) algorithms such as Hill Climbing Search (HCS) and Perturb and Observe (P&O) to maximize energy extraction. The wind subsystem is implemented using both Permanent Magnet Synchronous Generator (PMSG) and Doubly Fed Induction Generator (DFIG) configurations for improved performance and flexibility. The generated power from both renewable sources is processed through power electronic converters and combined via a common DC-link, which acts as an energy buffer to maintain voltage stability and facilitate power balancing. The DC-link output is supplied to a DC/AC inverter that delivers controlled AC power to an asynchronous or synchronous motor. This motor is mechanically coupled to a generator, forming a Motor–Generator Pair (MGP) system that provides electrical isolation between renewable sources and the grid. This configuration enhances system protection by mitigating the impact of grid disturbances such as voltage sags, swells, and short circuits. Furthermore, the system incorporates advanced control strategies, including DC-link voltage regulation and a Fractional Order PID (FOPID) controller to improve dynamic response, stability, and robustness. In the DFIG-based configuration, the stator is directly connected to the grid, while the rotor is interfaced through a back-to-back converter consisting of a Rotor Side Converter (RSC) and Grid Side Converter (GSC), enabling independent control of active and reactive power along with DC-link voltage regulation. Additional components such as filters, measurement units, and fault control mechanisms are included to ensure power quality, accurate monitoring, and effective disturbance mitigation. Simulation results demonstrate that the proposed hybrid system significantly improves reliability, power quality, and fault tolerance, making it suitable for modern grid-connected renewable energy applications.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
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