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 inIET generation, transmission & distribution Vol. 12; no. 5; pp. 1153 - 1163
Main Authors Vedantham, Srinivas, Kumar, Shailendra, Singh, Bhim, Mishra, Sukumar
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 13.03.2018
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ISSN1751-8687
1751-8695
DOI10.1049/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.
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
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  organization: Department of Electrical Engineering, IIT Delhi, New Delhi 110 016, India
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Issue 5
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
Language English
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Snippet This study presents the fuzzy logic integrator gain-tuned improved second-order generalized integrator (GI) for a double-stage grid-interfaced photovoltaic...
This study presents the fuzzy logic integrator gain‐tuned improved second‐order generalized integrator (GI) for a double‐stage grid‐interfaced photovoltaic...
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wiley
iet
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StartPage 1153
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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Title Fuzzy logic gain-tuned adaptive second-order GI-based multi-objective control for reliable operation of grid-interfaced photovoltaic system
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Volume 12
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