Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony

Sundareswaran, K.; Peddapati, Sankar; Nayak, P. Srinivasa Rao; Simon, Sishaj P.; Palani, S.

doi:10.1109/tste.2014.2363521

Cited by 354 publications

(180 citation statements)

References 24 publications

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“…Recently, the Artificial Bee Colony Optimization (ABCO) approach was introduced and successfully used to solve different optimization problems such as distributed optimization and control [15], optimization design of power system stabilizers [16], renewable power generations and control [17]. However, the artificial bee colony approach has important advantages as it can be applied efficiently to solve multimodal engineering problems with high dimensionality and requires less control parameter to be tuned [18].…”

Section: System Configurationmentioning

confidence: 99%

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

Atawi

Kassem

2017

Energies

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This paper investigates how to increase the efficiency of a photovoltaic/energy storage generation unit supplying dynamic loads by regulating and managing both the photovoltaic generator and the storage battery charge-discharge modes. The proposed photovoltaic/energy storage unit is proposed to supply an induction motor driven industrial pump with controlled speed and/or a DC motor driven water pump. An optimal proportional-integral-derivative control based on an Artificial Bee Colony Optimization algorithm is used to regulate the photovoltaic generator in case of normal operation or in case of maximum power point tracking (MPPT) and to also control the battery storage charge discharge modes. A vector control based on the proposed optimal control is used to regulate the induction motor rotor speed at its low reference values needed by the industrial pump. First, a total model of the entire system is obtained. The controller performance with the proposed system is studied with both a DC motor and/or induction motor loads. Simulation results show that the proposed photovoltaic/storage generator is able to supply the suggested dynamic loads under different conditions and with good performance. Also, it is noticed that operating the photovoltaic base on maximum power point tracking condition will give about 43% extra generation power than the normal operation case.

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Section: System Configurationmentioning

confidence: 99%

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

Atawi

Kassem

2017

Energies

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“…Paper [12] proposes an artificial bee colony (ABC) algorithm for global MPP. The proposed method reduces the tracking time of GMPP, compared with PSO and enhanced P&O (EPO).…”

Section: Meta-heuristicsmentioning

confidence: 99%

A Review of MPPT Algorithms for Partial Shading Conditions

Erdem

2017

Acta Phys. Pol. A

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Maximum power point tracker in a photovoltaic system allows to maximize the energy drawn from the connected photovoltaic modules. In the partial shade conditions there can be more than one maximum point in photovoltaic output power curve. The solution for this situation is a maximum power point tracker algorithm, which finds the global maximum. In literature, there is a large number of studies on maximum power point trackers. Therefore designers are drowning in a sea of knowledge. This study eliminates similar studies and classified them into groups, and at the end of the study a comparison table is given to guide the designers in the performance information of the selected studies. This study aims to guide the designers to make a sensible selection of a maximum power point tracker algorithm for partial shade conditions.

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“…Several authors proposed MPPT algorithms based on Particle Swarm Optimization -Liu et al 2012, Artificial Bee Colony (Sundareswaran et al 2015), Ant Colony Optimization (Jiang et al 2013), Cuckoo Search (Ahmed et al 2014), Firefly (Sundareswaran et al 2014), Grey Wolf Optimizer (Satyajit et al 2016) and Whale Optimization Algorithm (Santhan et al 2016). All these algorithms differ noticeably in terms of accuracy, efficiency, tracking time and complexity (Jordehi 2016).…”

Section: Introductionmentioning

confidence: 99%

Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition

Cherukuri

Rayapudi

2017

Int. J. Renew. Energy Dev.

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ABSTRACT:Partial shading condition is one of the adverse phenomena which effects the power output of photovoltaic (PV) systems due to inaccurate tracking of global maximum power point. Conventional Maximum Power Point Tracking (MPPT) techniques like Perturb and Observe, Incremental Conductance and Hill Climbing can track the maximum power point effectively under uniform shaded condition, but fails under partial shaded condition. An attractive solution under partial shaded condition is application of meta-heuristic algorithms to operate at global maximum power point. Hence in this paper, an Enhanced Grey Wolf Optimizer (EGWO) based maximum power point tracking algorithm is proposed to track the global maximum power point of PV system under partial shading condition. A Mathematical model of PV system is developed under partial shaded condition using single diode model and EGWO is applied to track global maximum power point. The proposed method was programmed in MATLAB environment and simulations are carried out on 4S and 2S2P PV configurations for dynamically changing shading patterns. The results of the proposed method were analyzed and compared with GWO and PSO algorithms. It was observed that proposed method is effective in tracking global maximum power point with more accuracy in less computation time compared to other methods.

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Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony

Cited by 354 publications

References 24 publications

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

A Review of MPPT Algorithms for Partial Shading Conditions

Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition

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