Maximum Power Point Tracking Control Based on Modified ABC Algorithm for Shaded PV System

Mao, Mingxuan; Wan, Yihao; Cui, Lichuang; Zhou, Lin; Zhang, Qianjin

doi:10.23919/eeta.2019.8804525

Cited by 14 publications

(6 citation statements)

References 6 publications

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“…ABC algorithm has only two control parameters in MPPT application that results in simplicity. Although it can track GMPP under PSCs, due to its slow convergence speed and performance degradation in terms of exploitation, a precise and accurate GMPP cannot be guaranteed [145]. Therefore, to cope with these issues, the ABC algorithm is combined with HC in [146].…”

Section: Abc With Hcmentioning

confidence: 99%

Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review

2023

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To efficiently and accurately track the Global Maximum Power Point (GMPP) of the PV system under Varying Environmental Conditions (VECs), numerous hybrid Maximum Power Point Tracking (MPPT) techniques were developed. In this research work, different hybrid MPPT techniques are categorized into three types: a combination of conventional algorithms, a combination of soft computing algorithms, and a combination of conventional and soft computing algorithms are discussed in detail. Particularly, about 90 hybrid MPPT techniques are presented, and their key specifications, such as accuracy, speed, cost, complexity, etc., are summarized. Along with these specifications, numerous other parameters, such as the PV panel’s location, season, tilt, orientation, etc., are also discussed, which makes its selection easier according to the requirements. This research work is organized in such a manner that it provides a valuable path for energy engineers and researchers to select an appropriate MPPT technique based on the projects’ limitations and objectives.

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Section: Abc With Hcmentioning

confidence: 99%

Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review

2023

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“…The system is grid integrated one, and results show the efficiency is 98.39% while keeping grid voltage and current THD 2.3 and 2.5% is well in limits. Li et al [134] is also recently ABC implemented conference paper, which compares this technique with the other three techniques in terms of tracking speed and efficiency.…”

Section: Optimisation‐based Mpptmentioning

confidence: 99%

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

Bollipo

Mikkili

Bonthagorla

2020

IET Renewable Power Generation

249

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Maximum power extraction from the photovoltaic (PV) system plays a critical role in increasing efficiency during partial shading conditions (PSC's). The higher cost and low conversion efficiency of the PV panel necessitate the extraction of the maximum power point (MPP). So, a suitable maximum power point tracking (MPPT) technique to track the MPP is of high need, even under PSC's. This study gives an extensive review of 23 MPPT techniques present in literature along with recent publications on various hardware design methodologies. MPPT classification is done into three categories, i.e. Classical, Intelligent and Optimisation depending on the tracking algorithm utilised. During uniform insolation, classical methods are highly preferred as there is only one peak in the P-V curve. However, under PSC's, the P-V curve exhibits multiple peaks, one global MPP (GMPP) and the remaining are local MPPs. Hence, Intelligent and Optimisation techniques came into limelight to differentiate the GMPP out of all LMPPs. Every MPPT technique has its advantages and limits, but a streamlined MPPT is drafted in numerous parameters like sensors required, hardware implementation, tracking in PSC's, cost, tracking speed and tracking efficiency. This present study aimed to address the advancement in this area for further research. Nomenclature C dc DC link capacitor V mpp voltage at maximum power point I mpp current at maximum power point P mpp power at maximum power point P-V curve power-voltage curve I-V curve current-voltage curve V oc PV open circuit voltage I sc PV short circuit current

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“…Regarding multiple peak values generated from the P-V characteristic curve, due to the shading of certain modules in the PVMA over recent years, many scholars have devoted their studies to MPPT. The common smart algorithms currently include fuzzy control [9][10][11], neural network (NN) [12][13][14], grey wolf optimization (GWO) [15][16][17], differential evolution (DE) [18][19][20][21], artificial bee colony (ABC) algorithm [22][23][24], firefly algorithm (FA) [25][26][27] and teaching-learning-based optimization [28]. Among them, the fuzzy control method consists of fuzzy inference, fuzzy logic, fuzzification, defuzzification, and fuzzy control.…”

Section: Introductionmentioning

confidence: 99%

An Maximum Power Point Tracker of Photovoltaic Module Arrays Based on Improved Firefly Algorithm

Chao

Zhang

2023

Sustainability

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In this paper, an improved firefly algorithm (FA) was proposed for application on photovoltaic module arrays (PVMAs) with partial modules under shading so that the maximum power point tracking (MPPT) could be implemented. Firstly, a new model of high voltage step-up converter was developed for executing the MPPT of the PVMA. For the energy storage inductor of the developed converter, the architecture of the coupled inductor was adopted so that the converter switch did not need to operate under an excessive duty cycle, which could increase the voltage gain and reduce the ripple of the output voltage at the same time. To prevent shading on the partial modules within the PVMA and generate more than one peak on the power-voltage (P-V) output characteristic curve, where the conventional MPPT could only track the local maximum power point (LMPP) and reduce the output power of the PVMA, the maximum power tracker, based on the improved FA, was proposed in this paper. Such a tracker could perform an automatic online adjustment on the FA iteration parameters, according to the slope of the P-V output characteristic curve, for the PVMA and, at the same time, perform at 0.8 times of the maximum power point (MPP) voltage for the module array under standard test condition (STC), serving as the initial tracking voltage for implementing the global maximum power point tracking (GMPPT). Lastly, the actual test results were applied to verify that the proposed converter indeed contained a high voltage step-up and low-ripple output voltage. The improved FA could also track GMPP faster and further improve the power-generating efficiency of the PVMA.

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Maximum Power Point Tracking Control Based on Modified ABC Algorithm for Shaded PV System

Cited by 14 publications

References 6 publications

Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review

Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

An Maximum Power Point Tracker of Photovoltaic Module Arrays Based on Improved Firefly Algorithm

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