Fuzzy logic gain-tuned adaptive second-order GI-based multi-objective control for reliable operation of grid-interfaced photovoltaic system
This study presents the fuzzy logic integrator gain-tuned improved second-order generalized integrator (GI) for a double-stage grid-interfaced photovoltaic (PV) system. The proposed system includes the functionalities of feeding active power to the grid, power factor correction, grid currents balanc...
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Published in | IET generation, transmission & distribution Vol. 12; no. 5; pp. 1153 - 1163 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
The Institution of Engineering and Technology
13.03.2018
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Online Access | Get full text |
ISSN | 1751-8687 1751-8695 |
DOI | 10.1049/iet-gtd.2017.0958 |
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Abstract | This study presents the fuzzy logic integrator gain-tuned improved second-order generalized integrator (GI) for a double-stage grid-interfaced photovoltaic (PV) system. The proposed system includes the functionalities of feeding active power to the grid, power factor correction, grid currents balancing and system isolation under grid side faults. Moreover, the smooth system operation is ensured under weak distribution grids where grid voltage is subject to huge diversions. Furthermore, automatic protection scheme for the system under grid-side faults is also established with the proposed algorithm for increased reliability. The fuzzy-tuned GI provides advantages of efficient and effective extraction of load current fundamental component under steady-state and dynamic grid conditions. The non-linear frequency error variation is compensated here using fuzzy logic-based self-tuning integrator gain of the controller. The controller is improved to mitigate the possible DC component in the load current. The neutral current in the loads is nullified by using a four wire system. The adaptive DC bus voltage helps to minimize the switching losses and prevents unexpected tripping of the PV inverter. The system is experimentally verified using a prototype built in the laboratory. |
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AbstractList | This study presents the fuzzy logic integrator gain‐tuned improved second‐order generalized integrator (GI) for a double‐stage grid‐interfaced photovoltaic (PV) system. The proposed system includes the functionalities of feeding active power to the grid, power factor correction, grid currents balancing and system isolation under grid side faults. Moreover, the smooth system operation is ensured under weak distribution grids where grid voltage is subject to huge diversions. Furthermore, automatic protection scheme for the system under grid‐side faults is also established with the proposed algorithm for increased reliability. The fuzzy‐tuned GI provides advantages of efficient and effective extraction of load current fundamental component under steady‐state and dynamic grid conditions. The non‐linear frequency error variation is compensated here using fuzzy logic‐based self‐tuning integrator gain of the controller. The controller is improved to mitigate the possible DC component in the load current. The neutral current in the loads is nullified by using a four wire system. The adaptive DC bus voltage helps to minimize the switching losses and prevents unexpected tripping of the PV inverter. The system is experimentally verified using a prototype built in the laboratory. |
Author | Singh, Bhim Vedantham, Srinivas Kumar, Shailendra Mishra, Sukumar |
Author_xml | – sequence: 1 givenname: Srinivas surname: Vedantham fullname: Vedantham, Srinivas email: vlsrinivas16@gmail.com organization: Department of Electrical Engineering, IIT Delhi, New Delhi 110 016, India – sequence: 2 givenname: Shailendra surname: Kumar fullname: Kumar, Shailendra organization: Department of Electrical Engineering, IIT Delhi, New Delhi 110 016, India – sequence: 3 givenname: Bhim surname: Singh fullname: Singh, Bhim organization: Department of Electrical Engineering, IIT Delhi, New Delhi 110 016, India – sequence: 4 givenname: Sukumar surname: Mishra fullname: Mishra, Sukumar organization: Department of Electrical Engineering, IIT Delhi, New Delhi 110 016, India |
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CitedBy_id | crossref_primary_10_1002_2050_7038_12239 crossref_primary_10_1109_TIE_2021_3090698 crossref_primary_10_1080_19397038_2020_1725176 crossref_primary_10_1016_j_prime_2022_100093 crossref_primary_10_1109_TIE_2020_3048316 crossref_primary_10_1002_cta_4313 crossref_primary_10_1080_23307706_2024_2423191 crossref_primary_10_1049_iet_rpg_2019_1136 crossref_primary_10_1109_JESTPE_2019_2933140 crossref_primary_10_1049_iet_gtd_2018_6647 |
Cites_doi | 10.1109/TSTE.2016.2553181 10.1109/IPEC.2010.5544516 10.1109/APPEEC.2015.7380869 10.1049/iet-rpg.2011.0052 10.1109/ACCESS.2017.2719721 10.1109/PEOCO.2014.6814473 10.1109/ICSET.2012.6357394 10.1109/TPEL.2011.2158238 10.1109/JESTPE.2016.2627533 10.1109/TPEL.2013.2293656 10.1016/j.rser.2014.02.039 10.1049/iet-rpg.2015.0203 10.1109/TIE.2009.2029587 10.1109/TIE.2008.918463 10.1049/iet-rpg.2015.0051 10.1109/TPEL.2008.2003025 10.1109/MIAS.2016.2600736 10.1109/TPWRD.2010.2081384 10.1002/9781118922064 |
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Copyright | The Institution of Engineering and Technology 2018 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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Keywords | automatic protection scheme load current weak distribution grids dynamic grid conditions PV inverter power generation control total harmonic distortions point of common coupling voltage smooth system operation fuzzy control invertors power factor correction maximum power extraction power generation reliability PV array load current fundamental component extraction grid-side faults neutral current photovoltaic power systems adaptive control fuzzy logic integrator gain-tuned improved second-order generalised integrator steady-state grid conditions adaptive DC bus voltage grid currents balancing non-linear frequency error variation second-order GI-based multiobjective control scheme four wire system fuzzy logic gain-tuned adaptive control scheme switching losses |
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SubjectTerms | adaptive control adaptive DC bus voltage automatic protection scheme dynamic grid conditions four wire system fuzzy control fuzzy logic gain‐tuned adaptive control scheme fuzzy logic integrator gain‐tuned improved second‐order generalised integrator grid currents balancing grid‐side faults invertors load current load current fundamental component extraction maximum power extraction neutral current non‐linear frequency error variation photovoltaic power systems point of common coupling voltage power factor correction power generation control power generation reliability PV array PV inverter Research Article second‐order GI‐based multiobjective control scheme smooth system operation steady‐state grid conditions switching losses total harmonic distortions weak distribution grids |
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