An Effective Design and Implementation of Hybrid MPP Tracking Scheme Based on Linear Tangents &amp; Neville Interpolation (LT-NI) Technique for Photovoltaic (PV) System

Bhukya, Muralidhar Nayak; Kota, Venkata Reddy; Depuru, Shobha Rani; Reddy, M. Pala Prasad; Reddy, Galiveeti Hemakumar

doi:10.1109/access.2021.3064936

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…In Equation ( 15), the 'ρ' vector is a random variable that assigns weights for the MPP to reinforce (ρ > 1) or lessen (ρ < 1) the effect of MPP location in the determination of distance in Equation (16). It helps avoid trapping in local optima and enhances the stochastic behavior of the ChOA technique.…”

Section: Mathematical Formulation Of Choamentioning

confidence: 99%

“…The proposed approach is successful in effectively tracking MPP. A hybrid MPP tracking method using linear tangent and Neville interpolation (LT-NI) is applied to track the maximum power of the PV system [16]. Despite having efficient performance under uniform irradiance change, the proposed technique fails to track the MPP during partial shading cases.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Partial Shading Detection Strategy Based on Chimp Optimization Algorithm to Find Global Maximum Power Point of Solar Array System

2022

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A PV system’s operation highly depends on weather conditions. In case of varying irradiances or load changes, there is a power mismatch between various modules of the PV array. This power mismatch causes instability in the output of the PV system and deteriorates the overall system efficiency. To overcome instability and lower efficiency problems, and to extract maximum power from the PV system, various maximum power point tracking (MPPT) techniques are employed. The success of these techniques depends on the identification of the actual operating conditions of the system. This article proposes a hybrid maximum power point tracking (MPPT) technique that is capable of efficiently differentiating between uniform irradiance, non-uniform irradiance, and load variations on the PV system. Based on the identified operating conditions, the proposed method uses modified perturb and observe (Modified P&O) to cope with uniform irradiance variations and chimp optimization algorithms (ChOA) for non-uniform conditions to track the oscillation free maximum power-point. The proposed method is implemented and verified using a 4×3 PV array model in MATLAB Simulink software. Different cases of uniformly changing irradiance and non-uniformly changing irradiance are applied to test the performance of the proposed hybrid technique. The load varying conditions are performed by applying a variable load resistor. The authenticity of the proposed hybrid technique is critically evaluated against the well-known and most widely used optimization techniques of modified perturb and observe (Modified P&O), particle swarm optimization (PSO), flower pollination algorithm (FPA), and grey wolf optimization (GWO). The results demonstrate the superiority of the proposed technique in oscillation-free tracking of global maximum power point (GMPP) in a minimum tracking time of 0.4 s and 0.15 s, and steady-state MPPT efficiency of 96.92% and 99.54% under uniform and non-uniform irradiance conditions, respectively.

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Section: Mathematical Formulation Of Choamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Partial Shading Detection Strategy Based on Chimp Optimization Algorithm to Find Global Maximum Power Point of Solar Array System

2022

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“…The particle layout, a straight line route from the radii on the vector Ve ij , can be determined using Equation (6).…”

Section: Initializementioning

confidence: 99%

“…However, the proposed technique had fewer bifurcations due to climatic changes. Researcher [6] proposed the hybrid linear tangents (LT) and Neville interpolation (NI) algorithm for GMPP tracking under PSC. The algorithm eliminates the constant regions of the PV power derivative concerning zero volts at the projection of linear tangents at 75% and 90% of the open-circuit voltage.…”

Section: Introductionmentioning

confidence: 99%

A Novel Control Strategy in Grid-Integrated Photovoltaic System for Power Quality Enhancement

et al. 2022

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The integration of solar photovoltaic (PV) systems and utility grids has gradually gained significant interest in improving the sustainability of clean power supply for society. However, power quality remains a challenge due to partial shading conditions and harmonics. To overcome these drawbacks, a flexible radial movement optimization based on a dynamic safety perimeter maximum power point tracking algorithm is employed to track maximum power out of a PV system and to ensure that the optimum voltage level at the common DC bus is obtained under partial shading conditions using fixed-tilt installation configuration. Furthermore, a novel inverter control loop system with a double second order generalized integrator phase-locked loop (DSOGI-PLL) is also proposed to mitigate harmonics and improve the power quality of the grid interfacing PV system using MATLAB SIMULINK software. The proposed system has several merits, such as better harmonic suppression capability, control adaptivity, rapid tracking speed, low computational burden and phase and grid synchronization.

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Implementation of Convolutional Neural Network for Speed Control of BLDC Motor

Arandhakar

Kant

Bhukya

2021

2021 International Conference on Design Innovations for 3Cs Compute Communicate Control (ICDI3C)

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An Effective Design and Implementation of Hybrid MPP Tracking Scheme Based on Linear Tangents & Neville Interpolation (LT-NI) Technique for Photovoltaic (PV) System

Cited by 6 publications

References 28 publications

An Improved Partial Shading Detection Strategy Based on Chimp Optimization Algorithm to Find Global Maximum Power Point of Solar Array System

An Improved Partial Shading Detection Strategy Based on Chimp Optimization Algorithm to Find Global Maximum Power Point of Solar Array System

A Novel Control Strategy in Grid-Integrated Photovoltaic System for Power Quality Enhancement

Implementation of Convolutional Neural Network for Speed Control of BLDC Motor

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