Mitigating voltage quality issues in Sawla Substation, Ethiopia: A dynamic voltage restorer controlled by neural networks and fuzzy logic
Ensuring power quality in distribution systems is critical due to voltage sags, swells, and harmonic distortions, which affect system performance and equipment reliability. The Sawla distribution system in Ethiopia experiences high Total Harmonic Distortion (THD), exceeding IEEE Std 519–2014 limits...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025011818 |
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| author | Balakumar Subramanian Alazar Demamu Andinet Anjamo Muluneh Lemma Yalisho Girma |
| author_facet | Balakumar Subramanian Alazar Demamu Andinet Anjamo Muluneh Lemma Yalisho Girma |
| author_sort | Balakumar Subramanian |
| collection | DOAJ |
| description | Ensuring power quality in distribution systems is critical due to voltage sags, swells, and harmonic distortions, which affect system performance and equipment reliability. The Sawla distribution system in Ethiopia experiences high Total Harmonic Distortion (THD), exceeding IEEE Std 519–2014 limits due to nonlinear loads at 15 KV. This study proposes an Artificial Neural Network (ANN) and Fuzzy Logic Controller (FLC)-based Dynamic Voltage Restorer (DVR) to mitigate voltage fluctuations. Using a Pulse Width Modulation (PWM) inverter and d-q transformation, the DVR dynamically compensates voltage variations. ANN-based control outperforms FLC, achieving THD reduction from 23.92 % to 4.94 %, while the FLC-controlled DVR achieves 12.63 % THD, which remains above IEEE limits. MATLAB/Simulink simulations confirm the DVR’s effectiveness in stabilizing voltage and reducing harmonic distortions. This approach enhances power quality and provides a scalable solution for distribution networks. |
| format | Article |
| id | doaj-art-dd0bda510eba48a4b2da61a8749a7b74 |
| institution | OA Journals |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-dd0bda510eba48a4b2da61a8749a7b742025-08-20T01:50:22ZengElsevierResults in Engineering2590-12302025-06-012610510610.1016/j.rineng.2025.105106Mitigating voltage quality issues in Sawla Substation, Ethiopia: A dynamic voltage restorer controlled by neural networks and fuzzy logicBalakumar Subramanian0Alazar Demamu1Andinet Anjamo2Muluneh Lemma3Yalisho Girma4Corresponding author.; Faculty of Electrical and Computer Engineering, Arba Minch University, Arba Minch, EthiopiaFaculty of Electrical and Computer Engineering, Arba Minch University, Arba Minch, EthiopiaFaculty of Electrical and Computer Engineering, Arba Minch University, Arba Minch, EthiopiaFaculty of Electrical and Computer Engineering, Arba Minch University, Arba Minch, EthiopiaFaculty of Electrical and Computer Engineering, Arba Minch University, Arba Minch, EthiopiaEnsuring power quality in distribution systems is critical due to voltage sags, swells, and harmonic distortions, which affect system performance and equipment reliability. The Sawla distribution system in Ethiopia experiences high Total Harmonic Distortion (THD), exceeding IEEE Std 519–2014 limits due to nonlinear loads at 15 KV. This study proposes an Artificial Neural Network (ANN) and Fuzzy Logic Controller (FLC)-based Dynamic Voltage Restorer (DVR) to mitigate voltage fluctuations. Using a Pulse Width Modulation (PWM) inverter and d-q transformation, the DVR dynamically compensates voltage variations. ANN-based control outperforms FLC, achieving THD reduction from 23.92 % to 4.94 %, while the FLC-controlled DVR achieves 12.63 % THD, which remains above IEEE limits. MATLAB/Simulink simulations confirm the DVR’s effectiveness in stabilizing voltage and reducing harmonic distortions. This approach enhances power quality and provides a scalable solution for distribution networks.http://www.sciencedirect.com/science/article/pii/S2590123025011818Sawla distributionFuzzy logic controllerPoint of common coupling (PCC)Total harmonic distortionArtificial neural networkDynamic voltage restorer |
| spellingShingle | Balakumar Subramanian Alazar Demamu Andinet Anjamo Muluneh Lemma Yalisho Girma Mitigating voltage quality issues in Sawla Substation, Ethiopia: A dynamic voltage restorer controlled by neural networks and fuzzy logic Results in Engineering Sawla distribution Fuzzy logic controller Point of common coupling (PCC) Total harmonic distortion Artificial neural network Dynamic voltage restorer |
| title | Mitigating voltage quality issues in Sawla Substation, Ethiopia: A dynamic voltage restorer controlled by neural networks and fuzzy logic |
| title_full | Mitigating voltage quality issues in Sawla Substation, Ethiopia: A dynamic voltage restorer controlled by neural networks and fuzzy logic |
| title_fullStr | Mitigating voltage quality issues in Sawla Substation, Ethiopia: A dynamic voltage restorer controlled by neural networks and fuzzy logic |
| title_full_unstemmed | Mitigating voltage quality issues in Sawla Substation, Ethiopia: A dynamic voltage restorer controlled by neural networks and fuzzy logic |
| title_short | Mitigating voltage quality issues in Sawla Substation, Ethiopia: A dynamic voltage restorer controlled by neural networks and fuzzy logic |
| title_sort | mitigating voltage quality issues in sawla substation ethiopia a dynamic voltage restorer controlled by neural networks and fuzzy logic |
| topic | Sawla distribution Fuzzy logic controller Point of common coupling (PCC) Total harmonic distortion Artificial neural network Dynamic voltage restorer |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025011818 |
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