Rapid MPPT for Uniformly and Partial Shaded PV System by Using JayaDE Algorithm in Highly Fluctuating Atmospheric Conditions

Kumar, Nishant; Hussain, Ikhlaq; Singh, Bhim; Panigrahi, Bijaya Ketan

doi:10.1109/tii.2017.2700327

Cited by 141 publications

(65 citation statements)

References 19 publications

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“…The ambient condition applied to test the behavior of these techniques for 2 min transient variations is depicted in Figure (Fast changing sun insolation). In this case, the test signal (varying sun insolation with constant temperature 25 o C) for 2 minutes dynamic variation in the interval as per . However, the test patterns with changing solar insolation and temperature are used.…”

Section: Hardware Implementation and Experimental Resultsmentioning

confidence: 99%

An improved hybrid PV‐wind power system with MPPT for water pumping applications

Priyadarshi

Padmanaban

Bhaskar

et al. 2019

Int Trans Electr Energ Syst

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SUMMARY This work articulates the hybrid photovoltaic‐wind power system development for water pump applications. The proposed control scheme is based on modified Artificial Bee Colony (ABC)‐based on Maximum Power Point Tracking (MPPT) algorithm.. On power circuit part, the single CUK converter‐fed induction motor driven a centrifugal pump and has been employed, which improves the system overall performance. The proposed MPPT control provides the smooth propagation of the motor operation as well as forces the photovoltaic system to operate always in maximum power point (MPP) region. Further, the modified ABC algorithm strengthens searching competency and has been employed for the achievement of local optimal maximum power point (MPP) under partial shade conditions with high accuracy and zero oscillation around MPP region when compared with other optimized algorithms. Particle swarm optimization‐space vector pulse‐width modulation (PSO‐SVPWM) was adapted for the inverter; control with standard v/f control is implemented in this work for better speed regulation and reduction in total harmonic distortion. Moreover, the power balance of the integrated hybrid system to the DC bus has been discussed with practicality. This article also explains the comparison of different MPPT algorithms and includes PSO, ant colony optimization, firefly algorithm, and ABC under fast‐changing environmental conditions. In the case of classical ABC method, only one scout bee is responsible to achieve the local maximum. The proposed modified ABC has been used to improve searching capacity, with the addition of scout bees. Experimental results are presented and reveal that the modified ABC algorithm performs 7.5 times faster than the standard PSO technique. Prototype model in hardware setup is developed with MATLAB/Simulink interfaced with dSPACE DS 1104.

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Section: Hardware Implementation and Experimental Resultsmentioning

confidence: 99%

An improved hybrid PV‐wind power system with MPPT for water pumping applications

Priyadarshi

Padmanaban

Bhaskar

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Alternatively, soft computing methods offer excellent ability to solve non-linear problems and therefore deliver superior performance compared to conventional methods. Wide variety of soft computing techniques following different tracking strategies have been evolved so far [10][11][12][13][14][15]. In addition, many hybrid methods fusing the properties of either two soft computing methods or combining conventional method with metaheuristic algorithm can also be seen [16,17].…”

Section: Introductionmentioning

confidence: 99%

Detection and Identification of Global Maximum Power Point Operation in Solar PV Applications Using a Hybrid ELPSO-P&O Tracking Technique

Ram

Pillai

Rajasekar

et al. 2020

IEEE J. Emerg. Sel. Topics Power Electron.

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“…The main purpose of these techniques is to improve the efficacy of a PVS under shading. These algorithms comprise flower pollination algorithm, 16 teaching-learningbased optimization, 17 Cuckoo search (CS), 18 moth-flame optimization, 19 mine blast optimization, 20 particle swarm optimization (PSO), 21 differential evolution, 22 Jaya algorithm, 23 grey wolf optimizer, 24 sine cosine algorithm (SCA), 25 and shuffled frog leap algorithm. 26 Most of global MPP tracking methods in the literature require both current and voltage sensors at the array side.…”

Section: Introductionmentioning

confidence: 99%

An efficient single‐sensor global maximum power point tracking method for partially shaded photovoltaic battery chargers

Rezk

2019

Int J Energy Res

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SUMMARY Solar energy and other renewables like geothermal, biomass, and wind energy can minimize the release of the CO2 and other harmful gases produced in case of fossil fuel. Low efficiency is the main drawback of the solar photovoltaic system specifically under partial shadowing condition (PSC). Commonly, with uniform solar radiation distribution, the power‐voltage graph has single maximum power point (MPP). The single MPP can be definitely extracted by any traditional tracker like perturb and observe as an example. However, during PSC, the situation is completely different since the power‐voltage curve has many MPPs (ie, multiple local points and single global point). The conventional MPP tracking methods cannot discriminate among local peaks and global peak; consequently, they can be easily trapped on the first local peak. Therefore, smart MPPTs based on modern optimization are required to track the global MPP. Most of MPPT tracking methods in the literature require both voltage and current sensors, and sometimes the control system needs an additional solar irradiance sensor and/or temperature sensor, which increase the system cost. In this paper, for the first time, a simple single‐sensor–based global MPP tracking method for partially shaded photovoltaic battery chargers is proposed. A deterministic particle swarm optimizer is utilized to extract the global MPP. Several patterns of PSC are considered to test and evaluate the proposed strategy. The obtained results confirm the efficacy of a single‐sensor–based global MPP tracking method to catch the global MPP accurately. Considering this research reduces the number of sensors, cost, and difficulty and consequently increases the power density of the MPP tracking methods under partial shadowing conditions.

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Rapid MPPT for Uniformly and Partial Shaded PV System by Using JayaDE Algorithm in Highly Fluctuating Atmospheric Conditions

Cited by 141 publications

References 19 publications

An improved hybrid PV‐wind power system with MPPT for water pumping applications

An improved hybrid PV‐wind power system with MPPT for water pumping applications

Detection and Identification of Global Maximum Power Point Operation in Solar PV Applications Using a Hybrid ELPSO-P&O Tracking Technique

An efficient single‐sensor global maximum power point tracking method for partially shaded photovoltaic battery chargers

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