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Performance and Comparison of Voltage Compensation Based on Hybrid Metaheuristic Technique Tuned Z-DVR
Power Quality (PQ) concerns is the main concern particularly voltage disturbances, fluctuation, sag, harmonics, and swell in the power distribution system. An efficacious device namely Dynamic voltage restorer (DVR) has the extraordinary dynamic reliability which is integrated between the source and...
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Published in: | Wireless personal communications 2024-07, Vol.137 (1), p.1-26 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Power Quality (PQ) concerns is the main concern particularly voltage disturbances, fluctuation, sag, harmonics, and swell in the power distribution system. An efficacious device namely Dynamic voltage restorer (DVR) has the extraordinary dynamic reliability which is integrated between the source and load to compensate such voltage disturbances in the electric power distribution system. However, in this paper DVR is incorporated with source to protect the sensitive load from the voltage disturbance influenced by the source side under non-linear load condition. Furthermore, in order to enhance the restoration of the voltage property of DVR, a novel Z type source Inverter (ZSI) is presented in this work. The constant DC voltage of DC link utilized for compensation process is ensured by this ZSI. In addition, the hybrid Harris Hawks Optimization (HHO) and Black Widow Optimization (BWO) is used to control the Z-DVR by regulating the gain parameters of the PID controller and to compensating the voltage issues such as sag, fluctuation, swell, and interruption in the load side. This proposed work is implemented using the MATLAB/Simulink software with the version of 2023b to analyze the results. In addition, to confirm the superiority of the proposed work HHO–BWO which is compared with previous work such as BWO-PID, HHO-PID, GA-PID, and MRSF controller in form of total harmonic distribution (THD), computational complexity and mitigation of PQ issues. |
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ISSN: | 0929-6212 1572-834X |
DOI: | 10.1007/s11277-024-10990-y |