An Adaptive Neuro-Fuzzy Control Strategy for Improved Power Quality in Multi-Microgrid Clusters
Microgrids are being evolved as a potential alternative to reduce unrelenting dependency on central utility grids. Moreover, integrated multi-microgrid based clusters are forming in closed vicinities to enhance the benefits of microgrids. However, the power quality problem is one of the key issues t...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9969615/ |
| _version_ | 1811177850702659584 |
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| author | S. N. V. Bramareswara Rao Y. V. Pavan Kumar Mohammad Amir Furkan Ahmad |
| author_facet | S. N. V. Bramareswara Rao Y. V. Pavan Kumar Mohammad Amir Furkan Ahmad |
| author_sort | S. N. V. Bramareswara Rao |
| collection | DOAJ |
| description | Microgrids are being evolved as a potential alternative to reduce unrelenting dependency on central utility grids. Moreover, integrated multi-microgrid based clusters are forming in closed vicinities to enhance the benefits of microgrids. However, the power quality problem is one of the key issues to be solved in such systems, which is mainly caused by the rising penetration of nonlinear loads and interfacing of power electronic converters. To address this issue, this paper proposes a new control technique, named “adaptive neuro-fuzzy control strategy”. This controls the inverter of each microgrid in the cluster as well as the voltage source converter-based distribution static compensator located at the point of common coupling between the cluster and the utility grid. This proposed control strategy uses the advantages of both fuzzy logic and artificial neural networks, thereby effectively controlling the system. The proposed technique is modelled in MATLAB/Simulink software 2021a. For the analysis, various power quality indices such as voltage sag/swell, voltage unbalance, frequency deviations, power characteristics, total harmonic distortion, and neutral current compensation are measured. These indices of the proposed controller are compared with conventional PI and fuzzy logic-based controllers in view of various key IEEE/IEC standard tolerances. From these results, the proposed controller has proved its superiority. |
| first_indexed | 2024-04-11T06:08:14Z |
| format | Article |
| id | doaj.art-11d47c5de5cb4d63af5615d0a65dd4cc |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T06:08:14Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-11d47c5de5cb4d63af5615d0a65dd4cc2022-12-22T04:41:25ZengIEEEIEEE Access2169-35362022-01-011012800712802110.1109/ACCESS.2022.32266709969615An Adaptive Neuro-Fuzzy Control Strategy for Improved Power Quality in Multi-Microgrid ClustersS. N. V. Bramareswara Rao0https://orcid.org/0000-0002-1538-2270Y. V. Pavan Kumar1https://orcid.org/0000-0002-9048-5157Mohammad Amir2https://orcid.org/0000-0003-3432-4217Furkan Ahmad3https://orcid.org/0000-0002-1176-1759Department of Electrical and Electronics Engineering, Sir C. R. Reddy College of Engineering, Eluru, Andhra Pradesh, IndiaSchool of Electronics Engineering, VIT-AP University, Amaravati, Andhra Pradesh, IndiaDepartment of Electrical Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia (A Central University), Delhi, IndiaDivision of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, QatarMicrogrids are being evolved as a potential alternative to reduce unrelenting dependency on central utility grids. Moreover, integrated multi-microgrid based clusters are forming in closed vicinities to enhance the benefits of microgrids. However, the power quality problem is one of the key issues to be solved in such systems, which is mainly caused by the rising penetration of nonlinear loads and interfacing of power electronic converters. To address this issue, this paper proposes a new control technique, named “adaptive neuro-fuzzy control strategy”. This controls the inverter of each microgrid in the cluster as well as the voltage source converter-based distribution static compensator located at the point of common coupling between the cluster and the utility grid. This proposed control strategy uses the advantages of both fuzzy logic and artificial neural networks, thereby effectively controlling the system. The proposed technique is modelled in MATLAB/Simulink software 2021a. For the analysis, various power quality indices such as voltage sag/swell, voltage unbalance, frequency deviations, power characteristics, total harmonic distortion, and neutral current compensation are measured. These indices of the proposed controller are compared with conventional PI and fuzzy logic-based controllers in view of various key IEEE/IEC standard tolerances. From these results, the proposed controller has proved its superiority.https://ieeexplore.ieee.org/document/9969615/Power qualitymulti-microgridsadaptive neuro-fuzzy control strategydistribution static compensatorproportional integralfuzzy control |
| spellingShingle | S. N. V. Bramareswara Rao Y. V. Pavan Kumar Mohammad Amir Furkan Ahmad An Adaptive Neuro-Fuzzy Control Strategy for Improved Power Quality in Multi-Microgrid Clusters IEEE Access Power quality multi-microgrids adaptive neuro-fuzzy control strategy distribution static compensator proportional integral fuzzy control |
| title | An Adaptive Neuro-Fuzzy Control Strategy for Improved Power Quality in Multi-Microgrid Clusters |
| title_full | An Adaptive Neuro-Fuzzy Control Strategy for Improved Power Quality in Multi-Microgrid Clusters |
| title_fullStr | An Adaptive Neuro-Fuzzy Control Strategy for Improved Power Quality in Multi-Microgrid Clusters |
| title_full_unstemmed | An Adaptive Neuro-Fuzzy Control Strategy for Improved Power Quality in Multi-Microgrid Clusters |
| title_short | An Adaptive Neuro-Fuzzy Control Strategy for Improved Power Quality in Multi-Microgrid Clusters |
| title_sort | adaptive neuro fuzzy control strategy for improved power quality in multi microgrid clusters |
| topic | Power quality multi-microgrids adaptive neuro-fuzzy control strategy distribution static compensator proportional integral fuzzy control |
| url | https://ieeexplore.ieee.org/document/9969615/ |
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