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    Power Quality Improvement in Grid Integrated PV Systems with SOA Optimized Active and Reactive Power Control

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    https://www.riss.kr/link?id=A108488935

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Power quality (PQ) is the prime constraint in grid-connected photovoltaic (PV) systems. In this paper, the reactive and active power controller is utilized with a three-phase grid-connected PV system to improve the PQ using seagull optimization algorithm (SOA). This proposed system comprises two key controllers as the Fly back converter with bacterial foraging optimization algorithm (BFOA) to track maximum power of PV panels and the suggested SOA optimized controller for the grid-integrated three-phase inverter. The grid integration of PV is utilizing a three-phase modular multilevel inverter, which manages the active and reactive powers by functioning the SOA optimized controller using the grid voltage. The novelty of the proposed system is to improve the PQ by utilizing the BFOA and SOA optimization algorithm for generating the maximum power and improve the active power from the non-linear PV. The proposed control strategy has to minimize power dropping into the inverter, by regulating the instantaneous active and reactive powers, for the improvement of PQ. Moreover, it can reduce the harmonic and reactive power compensation. The proposed system is established and replicated in the MATLAB/Simulink platform and its outcomes are examined and equated with existing methods.
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    Power quality (PQ) is the prime constraint in grid-connected photovoltaic (PV) systems. In this paper, the reactive and active power controller is utilized with a three-phase grid-connected PV system to improve the PQ using seagull optimization algori...

    Power quality (PQ) is the prime constraint in grid-connected photovoltaic (PV) systems. In this paper, the reactive and active power controller is utilized with a three-phase grid-connected PV system to improve the PQ using seagull optimization algorithm (SOA). This proposed system comprises two key controllers as the Fly back converter with bacterial foraging optimization algorithm (BFOA) to track maximum power of PV panels and the suggested SOA optimized controller for the grid-integrated three-phase inverter. The grid integration of PV is utilizing a three-phase modular multilevel inverter, which manages the active and reactive powers by functioning the SOA optimized controller using the grid voltage. The novelty of the proposed system is to improve the PQ by utilizing the BFOA and SOA optimization algorithm for generating the maximum power and improve the active power from the non-linear PV. The proposed control strategy has to minimize power dropping into the inverter, by regulating the instantaneous active and reactive powers, for the improvement of PQ. Moreover, it can reduce the harmonic and reactive power compensation. The proposed system is established and replicated in the MATLAB/Simulink platform and its outcomes are examined and equated with existing methods.

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    참고문헌 (Reference)

    1 Naqvi SBQ, "Weak grid integration of a single-stage solar energy conversion system with power quality improvement features under varied operating conditions" 57 (57): 1303-1313, 2021

    2 Zhang J, "Unified control of Z-source grid-connected photovoltaic system with reactive power compensation and harmonics restraint : design and application" 12 (12): 422-429, 2018

    3 Sanjyot SP, "Solar photovoltaic power conversion using modular multilevel converter" 4 (4): 117-122, 2016

    4 Kumar V, "Sensorless DC-link control approach for three-phase grid integrated PV system" 112 : 309-318, 2019

    5 Li H, "Research on inverter integrated reactive power control strategy in the grid-connected PV systems" 10 : 1-21, 2017

    6 Lin F, "Recurrent fuzzy cerebellar model articulation neural network based power control of a single-stage three-phase grid-connected photovoltaic system during grid faults" 64 (64): 1258-1268, 2017

    7 Huchche V, "Reactive power compensation of the grid connected PV system" 9 (9): 5836-5840, 2019

    8 Ahmed ASM, "Predictive neural network based adaptive controller for grid-connected PV systems supplying pulse-load" 193 : 139-147, 2019

    9 Kumar KS, "Power system reconfi guration and loss minimization for distribution systems using bacterial foraging optimization algorithm" 36 : 13-17, 2012

    10 Alexander SA, "Power quality improvement in solar photovoltaic system to reduce harmonic distortions using intelligent techniques" 6 : 043127-, 2014

    1 Naqvi SBQ, "Weak grid integration of a single-stage solar energy conversion system with power quality improvement features under varied operating conditions" 57 (57): 1303-1313, 2021

    2 Zhang J, "Unified control of Z-source grid-connected photovoltaic system with reactive power compensation and harmonics restraint : design and application" 12 (12): 422-429, 2018

    3 Sanjyot SP, "Solar photovoltaic power conversion using modular multilevel converter" 4 (4): 117-122, 2016

    4 Kumar V, "Sensorless DC-link control approach for three-phase grid integrated PV system" 112 : 309-318, 2019

    5 Li H, "Research on inverter integrated reactive power control strategy in the grid-connected PV systems" 10 : 1-21, 2017

    6 Lin F, "Recurrent fuzzy cerebellar model articulation neural network based power control of a single-stage three-phase grid-connected photovoltaic system during grid faults" 64 (64): 1258-1268, 2017

    7 Huchche V, "Reactive power compensation of the grid connected PV system" 9 (9): 5836-5840, 2019

    8 Ahmed ASM, "Predictive neural network based adaptive controller for grid-connected PV systems supplying pulse-load" 193 : 139-147, 2019

    9 Kumar KS, "Power system reconfi guration and loss minimization for distribution systems using bacterial foraging optimization algorithm" 36 : 13-17, 2012

    10 Alexander SA, "Power quality improvement in solar photovoltaic system to reduce harmonic distortions using intelligent techniques" 6 : 043127-, 2014

    11 Boukezata B, "Power quality improvement by an active power filter in grid-connected photovoltaic systems with optimized direct power control strategy" 44 (44): 2036-2047, 2016

    12 Varma RK, "New control of PV solar farm as STATCOM (PV-STATCOM) for increasing grid power transmission limits during night and day" 30 (30): 755-763, 2015

    13 Todorovic I, "Grid-connected converter active and reactive power production maximization with respect to current limitations during grid faults" 101 : 311-322, 2018

    14 Sreekanth T, "Grid tied single-stage inverter for low-voltage PV systems with reactive power control" 11 (11): 1766-1773, 2018

    15 Prasad D, "Grid interfaced solar-wind hybrid power generating systems using fuzzy-based TOGI control technique for power quality improvement" 42 (42): 1127-1139, 2022

    16 Mosalam HA, "Fuzzy logic control for a grid-connected PV array through Z-source-inverter using maximum constant boost control method" 9 : 2931-2941, 2018

    17 Sujatha BG, "Enhancement of PQ in grid connected PV system using hybrid technique" 9 (9): 869-881, 2018

    18 Palanisamy K, "Effective utilization of unified power quality conditioner for interconnecting PV modules with grid using power angle control method" 48 : 131-138, 2013

    19 Dhiman G, "EMoSOA : a new evolutionary multi-objective seagull optimization algorithm for global optimization" 12 : 571-596, 2021

    20 Yonghao Gui ; 이길하 ; 김청훈 ; 정정주, "Direct Power Control of Grid Connected Voltage Source Inverters Using Port-Controlled Hamiltonian System" 제어·로봇·시스템학회 15 (15): 2053-2062, 2017

    21 Shukl P, "Delta-bar-delta neural-network-based control approach for power quality improvement of solar-PVinterfaced distribution system" 16 (16): 790-801, 2020

    22 Jain S, "Decoupled active and reactive power predictive control for PV applications using a gridtied quasi-Z-source inverter" 6 (6): 1769-1782, 2018

    23 Fallahzadeh SAA, "Decoupled active and reactive power control of a grid-connected inverter-based DG using adaptive input–output feedback linearization" 44 : 1369-1378, 2020

    24 Jafarian H, "Decentralized active and reactive power control for an AC-stacked PV inverter with single member phase compensation" 54 (54): 345-355, 2018

    25 Mantilla MA, "Control of multi-functional grid-connected PV systems with load compensation under distorted and unbalanced grid voltages" 192 : 106918-, 2021

    26 Boutoubat M, "Control of a wind energy conversion system equipped by a DFIG for active power generation and power quality improvement" 50 : 378-386, 2013

    27 Ouai A, "Control and energy management of a large scale grid-connected PV system for power quality improvement" 171 : 893-906, 2018

    28 Youcefa BE, "Back stepping predictive direct power control of grid connected photovoltaic system considering power quality issue" 14 (14): 9-23, 2020

    29 Das SR, "Artificial intelligence based grid connected inverters for power quality improvement in smart grid applications" 93 : 107208-, 2021

    30 Devi S, "Application of modified bacterial foraging optimization algorithm for optimal placement and sizing of distributed generation" 41 : 2772-2781, 2014

    31 Jahan S, "An advanced control technique for power quality improvement of grid-tied multilevel inverter" 13 (13): 505-, 2021

    32 Jahan S, "An advanced control scheme for voltage source inverter based grid-tied PV systems" 31 (31): 1-5, 2021

    33 Lucas SX, "Adaptive current control strategy for harmonic compensation in single-phase solar inverters" 142 : 84-95, 2017

    34 Tafti HD, "Active/reactive power control of photovoltaic grid-tied inverters with peak current limitation and zero active power oscillation during unbalanced voltage sags" 11 (11): 1066-1073, 2018

    35 Ameerul AJJ, "Active and reactive power management of grid connected photovoltaic system" 13 (13): 1324-1331, 2019

    36 Thao NGM, "Active and reactive power control techniques based on feedback linearization and fuzzy logic for three-phase grid-connected photovoltaic inverters" 17 (17): 1-25, 2015

    37 Sahoo PK, "Active and reactive power control of three phase grid connected PV system" 1 (1): 275-291, 2018

    38 Laib A, "A predictive control scheme for large-scale grid-connected PV system using high-level NPC inverter" 45 : 1685-1701, 2020

    39 Devi BG, "A novel hybrid Phase Shifted-Modifi ed Synchronous Optimal Pulse Width Modulation based 27-level inverter for grid-connected PV system" 178 : 309-317, 2019

    40 Deepthi V, "A novel approach for solar photovoltaic power conversion using modular multilevel converter" 2 (2): 211-217, 2013

    41 Jia H, "A new hybrid seagull optimization algorithm for feature selection" 7 : 49614-49631, 2019

    42 Kim H, "A highly efficient PV system using a series connection of DC–DC converter output with a photovoltaic panel" 34 : 2432-2436, 2009

    43 Liang W, "A day and night operational quasi-Z source multilevel grid-tied PV power system to achieve active and reactive power control" 36 (36): 474-492, 2021

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