Performance Enhancement of PV System Configurations Under Partial Shading Conditions Using MS Method

Sharma, Snigdha; Varshney, Lokesh; Elavarasan, Rajvikram Madurai; Vardhan, Akanksha Singh S.; Vardhan, Aanchal Singh S.; Saket, R. K.; Subramaniam, Umashankar; Hossain, Eklas

doi:10.1109/access.2021.3071340

Cited by 27 publications

(4 citation statements)

References 38 publications

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“…The panel generates about 112.5W while at 800W/m2, then the power decreases to 83.55W, and it reaches 10.46W when a large portion of the PV panel is shaded with 100W/m2 irradiation. There are several types of the partial shading condition (PSC) used in this paper, each with a different distribution for the irradiation on a PV system including diagonal (DIA), random (RAN), Short -Narrow (SN), Long-Narrow (LN), Long -Wide (LW), and Short-Wide (SW) [13][14][15]. figure 4 depicts the distribution of the partial shading pattern types mentioned above.…”

Section: Solar Irradiation and The Partial Shading Conditionmentioning

confidence: 99%

Solar Photovoltaic Array Reconfiguration for Reducing Partial Shading Effect

Khaleel¹,

Mahmood²

2021

AJCT

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In the photovoltaic (PV) system some problems happen causes a substantial reduction in power generation, one of these problems are Partial shading (PS), and (PS) happen when some obstacles block the sun's rays on the photovoltaic (PV) cells in a PV array, panel, or module in the PV system. Therefore, this paper suggests a method for reducing the effects of partial shading and increasing output power by reconfiguring a solar photovoltaic array using a new shade dispersion strategy (NSDS). The improvements achieved in maximum power point MPP when the shadows are angled or have a significant size, NSDS is also suitable for any photovoltaic array size. The simulation in this study was done by using MATLAB-software Simulink. Different shapes for shades were taken like Short and Wide (SW), Short and Narrow (SN), Long and Wide (LW), and Long and Narrow (LN) partial shading in addition to diagonal shade (DI). The suggested method was used on 6x3 photovoltaic panels to solve the partial shadow problem that cannot be solved by some previous shadow dispersion methods like so du Ku and stepwise. Also, it is applied to a 4x2 PV array which is considered difficult to spread the shadows to all PV panels because of its small size. Analysis and comparisons of the output characteristic were done using Cadmium telluride (CdTe) F-4112-3 PV panels and it was found that the increment in the generated power is more than 30% in comparison with the typical series-parallel (SP) for the SW and LW shades while it is more than 30% and 20% in comparison with the Total-Cross-Tied (TCT) configuration for the SW and LW shades respectively.

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Section: Solar Irradiation and The Partial Shading Conditionmentioning

confidence: 99%

Solar Photovoltaic Array Reconfiguration for Reducing Partial Shading Effect

Khaleel¹,

Mahmood²

2021

AJCT

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“…The knight pattern array reconfiguration method is suggested by [4] for maximum power extraction by equalizing shading distribution on various P V modules under partial shading conditions. In [2,5,6] various reconfiguration topologies (i.e., series, series-parallel, total-cross-tied, bridge-linked, honey-comb, physical relocation of the module with fixed electrical connections (PRM-FEC), SuDoKu, and Magic Square (MS)) are considered and compared. Although total-cross-tied (TCT) configuration exhibits better performance, increased circuit complexity and cost are its major drawbacks.…”

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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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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“…A microgrid is a distribution-level grid with Distributed Energy Resources (DER), the energy storage facility and the load [9]. This microgrid will work independently if it is disconnected to the grid and not independently if it is interconnected to the grid [10], [11]. DER is a near-distribution energy supply and DER examples include solar power generation, recycling of electricity and fossil fuel [12].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review of Microgrid Control Mechanism and Impact Assessment for Hybrid Renewable Energy Integration

et al. 2021

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This paper describes a comprehensive review of microgrid control mechanism and impact assessment for hybrid grid. Building the model of sustained energy growth is one of the actions to achieve the Sustainable Development Objective (SDO) and change the global fossil fuel system. For co-operation in the development of one independent supplier of renewable energy, the microgrid is essential. Hybrid solar energy microgrid is also a solution for reducing fossil fuel consumption and providing an environmentally sustainable solution to rising rural electricity demand. The most common renewable energy options in the microgrid are solar photovoltaics, wind turbines and biomass. The environmentally sustainable and technologically innovative installation is convenient everywhere. Hybrid microgrid-based renewable energy, however, is confronted, given its intermittent and variable source efficiency, by challenges such as voltage instability, frequency instability, charge malfunction and power quality problems. The paper thus offers a critical overview of the micro grid growth, economic analysis and control strategy.

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Performance Enhancement of PV System Configurations Under Partial Shading Conditions Using MS Method

Cited by 27 publications

References 38 publications

Solar Photovoltaic Array Reconfiguration for Reducing Partial Shading Effect

Solar Photovoltaic Array Reconfiguration for Reducing Partial Shading Effect

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

A Comprehensive Review of Microgrid Control Mechanism and Impact Assessment for Hybrid Renewable Energy Integration

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