A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems

Al-Majidi, Sadeq D.; Abbod, Maysam F.; Al-Raweshidy, Hamed S.

doi:10.1016/j.ijhydene.2018.06.002

Cited by 173 publications

(78 citation statements)

References 37 publications

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“…In general, there are three main problem facing its operation: a low response time, high oscillation around the MPP point and a phenomenon of drift problem associated with the input irradiance changing rapidly. In other hand, this problem is happened when the input solar irradiance increases only [7]. To address these issues, several proposed P&O-MPPT methods have been developed such as a variable step size and modified P&O algorithm.…”

Section: Pando-mppt Algorithmmentioning

confidence: 99%

“…In general, cost, efficiency, lost energy, and type of implementation are the major key issues when aiming to propose the MPPT method for PV systems [4]. Taking these into account, many types of MPPT methods have been proposed, which can be divided into two types: classical techniques, such as Perturbation and Observation (P&O) [5], and Incremental Conductance (IC) [6]; and Artificial Intelligent (AI) techniques, for instance, Fuzzy Logic Controller (FLC) [7], Artificial Neural Network (ANN) [8] Adaptive Neural-fuzzy Interference System (ANFIS) [9].…”

Section: Introductionmentioning

confidence: 99%

“…The FLC-MPPT is one of the most powerful intelligent controllers for a PV system due to its high response and lesser oscillation, when compared with traditional MPPT methods. However, the major disadvantages are the phenomenon of drift problem associated with a change in the irradiance level and temperature operation [7]. This is because it heavily depends on the good knowledge of PV systems, resulting in inaccurate membership functions.…”

Section: Introductionmentioning

confidence: 99%

“…This is because it heavily depends on the good knowledge of PV systems, resulting in inaccurate membership functions. To address this issue, many modifications have been proposed, for example, an adaptive and optimized membership function of the traditional FLC-MPPT, as evidence in [7,[15][16][17]. However, the implementation is become over complex.…”

Section: Introductionmentioning

confidence: 99%

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Design of an intelligent MPPT based on ANN using a real photovoltaic system data

Al-Majidi

Abbod

Al-Raweshidy

2019

2019 54th International Universities Power Engineering Conference (UPEC)

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Maximum power point tracking (MPPT) methods are an essential part in photovoltaic (PV) system design for increasing the output power of a PV array. Whilst several methods have been introduced, the artificial neural network (ANN) is one of the most powerful method for MPPTs due to its less oscillation and fast response. However, accurate training data is a big challenge to design an optimized ANN-MPPT technique. In this paper, an ANN-MPPT technique based on a large experimental training data is proposed to avoid the system from having a high training error. Those data are collected during one year from experimental tests of a grid-connected PV system installed at Brunel University, London, United Kingdom. The irradiance and temperature of weather conditions are selected as the input, and the maximum power from the PV system as the output of the ANN model. To assess the performance, the Perturb and Observe (P&O) and the proposed ANN-MPPT methods are simulated using a MATLAB/Simulink model for a PV system. The results show that the proposed ANN method accurately tracks the optimal maximum power point and avoids the phenomenon of drift problem, whilst achieving a higher output power when compared with P&O-MPPT method.

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Section: Pando-mppt Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of an intelligent MPPT based on ANN using a real photovoltaic system data

Al-Majidi

Abbod

Al-Raweshidy

2019

2019 54th International Universities Power Engineering Conference (UPEC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, the control design is needed to track a maximum power point (MPP) [4] by considering the environmental changes [5]. To increase the efficiency of PV, the approach namely Maximum Power Point Tracking (MPPT) by extracting maximum output power from PV system [6], [7]. The MPPT control must be able to reach MPP quickly because the irradiation changes can occur quickly which allow it to reduce output power and power loss [8].…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Point Tracking in PV Arrays with High Gain DC-DC Boost Converter

Subrata¹,

Sutikno²,

Padmanaban³

et al. 2019

EECSI

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Photovoltaic (PV) system is an electrical generator that has been widely used. Ease of implementation, supported by a large number of potentials and needs of Green Energy, has become a factor in the increasing number and quickly applied to PV arrays. However, PV arrays have constrained related to generator conversion efficiency and the amount of power produced due to inconstant irradiation and temperature. This problem can be solved by a Maximum Power Point Tracking (MPPT) approach. This article discusses the MPPT technique with High Gain DC-DC Boost Converter using the Perturb and Observe (P&O) algorithm. The same P&O algorithm is also tested in the conventional converter to show performance and superiority of each converter. The results obtained show the advantages and disadvantages of each converter used in MPPT by P&O algorithm.

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A novel maximum power point tracking technique based on Rao‐1 algorithm for solar PV system under partial shading conditions

Bhukya

Annamraju

Nandiraju

2021

Int Trans Electr Energ Syst

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The performance of the Photovoltaic (PV) system is highly affected by fluctuating climatic conditions. Due to these changing climatic conditions, the irradiance diminishes, and it results in the non-linearity in voltage-power (P-V) curves of the PV system. Therefore, it is one of the reasons for the occurrence of the multiple peaks on P-V curves instead of a single peak. Therefore, it is challenging to track the global maximum power point tracking (MPPT) under these circumstances with traditional MPPT techniques viz. perturb and observe (P&O) and fuzzy logic control (FLC). Concerning global MPP tracking, this paper proposes a novel MPPT method based on a Rao-1 optimization algorithm. The proposed algorithm is used to overcome the drawbacks of the classical P&O, FLC, and PSO based MPPT techniques under partical shading conditions (PSCs) and rapidly changing atmospheric conditions viz. slow convergence speed and oscillation around the MPP. The proposed MPPT tracks the global MPP under any abnormal conditions like PSCs. To show the efficiency of the proposed MPPT a comparative assessment is performed with well-established MPPT methods in the literature. The simulation results witnessed that the proposed MPPT is more superior in improving the PV system performance under normal as well as under PSCs. The proposed MPPT over the PSO technique decreases the tracking time by 72.7% for pattern 1, 29.8% for pattern 2, 66.7% for pattern 3, 61.9% for pattern 5, 27.8% for pattern 6, and improves the tracking efficiency in all shading patterns. K E Y W O R D S global maximum, maximum power point tracking, partial shading conditions, photovoltaic system, Rao-1 algorithm List of Symbols and Abbreviations: I d , diode current (A); I SLC , Sun light current (A); I SPVC , solar PV cell output current; V SPVC , solar PV cell voltage (V); R SH and R S , shunt and series resistance of PV cell (Ω); G, Sun irradiance (W/m 2 ); K t , Temperature coefficient; T r , Standard temperature (K); T c , Cell temperature (K); V t , Thermal voltage (V); I o , diode reverse saturation current; D, duty cycle; V out , Output voltage; V in , PV voltage as input to the converter; q, Charge of an electron;

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A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems

Cited by 173 publications

References 37 publications

Design of an intelligent MPPT based on ANN using a real photovoltaic system data

Design of an intelligent MPPT based on ANN using a real photovoltaic system data

Maximum Power Point Tracking in PV Arrays with High Gain DC-DC Boost Converter

A novel maximum power point tracking technique based on Rao‐1 algorithm for solar PV system under partial shading conditions

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