Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Dr. S. Jagadish Kumar , Soppari Nithin
DOI Link: https://doi.org/10.22214/ijraset.2026.84501
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The increasing penetration of renewable energy resources into modern power systems has introduced significant challenges related to voltage regulation, harmonic distortion, renewable intermittency, and grid stability. This paper presents an intelligent grid-connected photovoltaic (PV) and wind energy conversion system (WECS) integrated with a Hybrid Energy Storage System (HESS) for enhancing power quality under varying operating conditions. The proposed system employs a Fuzzy Logic Controller (FLC) to regulate the DC-link voltage and control the Voltage Source Converter (VSC), thereby providing superior dynamic performance compared with conventional control approaches. A Dynamic Voltage Restorer (DVR) is incorporated at the Point of Common Coupling (PCC) to compensate voltage sag, voltage swell, and severe grid disturbances, ensuring continuous and reliable power delivery to sensitive loads. The coordinated operation of PV, WECS, HESS, FLC, and DVR significantly improves voltage stability, reduces Total Harmonic Distortion (THD), enhances renewable energy utilization, and strengthens fault ride-through capability. The complete system is developed and analysed in the MATLAB/Simulink environment under nonlinear loading conditions and grid disturbances. Simulation results demonstrate that the proposed intelligent control strategy effectively minimises harmonic distortion, maintains stable DC-link voltage, improves transient response, and delivers superior power quality while satisfying IEEE-519 harmonic standards for modern smart grid applications.
This work proposes a Fuzzy Logic Controller (FLC)-based grid-connected hybrid renewable energy system integrating Photovoltaic (PV), Wind Energy Conversion System (WECS), Hybrid Energy Storage System (HESS), and Dynamic Voltage Restorer (DVR) to improve power quality, voltage stability, harmonic suppression, and Low Voltage Ride Through (LVRT) capability under normal and fault conditions.
The increasing demand for electricity, depletion of fossil fuels, and environmental concerns have accelerated the adoption of renewable energy sources. Photovoltaic (PV) systems are widely used because of their clean and cost-effective operation; however, their intermittent nature causes voltage fluctuations and power instability. Combining PV with WECS provides complementary power generation, improving energy availability, while Hybrid Energy Storage Systems (HESS) consisting of batteries and supercapacitors smooth renewable power fluctuations and maintain continuous power supply.
Despite these advantages, power electronic converters introduce power quality issues such as:
To address these problems, the study integrates a Fuzzy Logic Controller (FLC) with a Dynamic Voltage Restorer (DVR). The FLC adaptively regulates converter operation and DC-link voltage, while the DVR compensates voltage disturbances during grid faults, improving voltage quality and system reliability.
Previous research has shown that:
However, coordinated control of PV, WECS, HESS, FLC, and DVR for simultaneous renewable energy management and power quality enhancement remains an active research area. The proposed system addresses this gap.
The proposed microgrid consists of:
The operating process includes:
The coordinated operation improves:
The proposed system was implemented in MATLAB/Simulink and evaluated under nonlinear loading and severe fault conditions.
Compared with the conventional PI controller, the FLC:
During severe LLLG faults:
The coordinated control also:
The conventional PI-controlled system exhibits poor performance during fault conditions:
These values greatly exceed IEEE-519 harmonic limits, indicating severe waveform distortion and poor fault performance.
The proposed FLC-DVR-based hybrid system significantly suppresses harmonics, restores PCC voltage and current, enhances converter stability, and maintains uninterrupted operation under severe grid disturbances.
This studyrepresents a grid-connected photovoltaic (PV) and Wind Energy Conversion System (WECS) integrated with a Hybrid Energy Storage System (HESS) employing a Fuzzy Logic Controller (FLC) and a Dynamic Voltage Restorer (DVR) to enhance power quality and system reliability. The coordinated integration of multiple renewable energy sources with intelligent control effectively addressed the challenges associated with renewable intermittency, voltage fluctuations, harmonic distortion, and grid disturbances. The FLC provided adaptive DC-link voltage regulation by generating appropriate converter control signals without requiring an accurate mathematical model, thereby offering faster dynamic response and superior robustness under varying operating conditions. Simultaneously, the HESS maintained power balance by compensating renewable energy fluctuations, while the DVR mitigated voltage sag, voltage swell, and fault-induced disturbances at the Point of Common Coupling (PCC), ensuring continuous power supply to sensitive loads. MATLAB/Simulink results demonstrated that the proposed system significantly reduced Total Harmonic Distortion (THD), improved voltage regulation, enhanced transient response, and maintained stable converter operation during both steady-state and fault conditions. Furthermore, the proposed control strategy improved renewable energy utilization, minimized DC-link voltage ripples, and achieved effective active and reactive power management while satisfying IEEE-519 harmonic standards. Therefore, the proposed intelligent PV–WECS–HESS system represents an efficient and reliable solution for future smart grid applications requiring high renewable energy penetration, improved power quality, and enhanced operational stability.
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Copyright © 2026 Dr. S. Jagadish Kumar , Soppari Nithin . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET84501
Publish Date : 2026-07-31
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here
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