Modeling and Fuzzy MPPT Controller Design for Photovoltaic Module Equipped with a Closed-Loop Cooling System

Bechouat, Mohcene; Sedraoui, Moussa; Feraga, Chams-Eddine; Aidoud, Mohammed; Kahla, Sami

doi:10.1007/s11664-019-07243-1

Cited by 17 publications

(5 citation statements)

References 22 publications

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“…Many new MPPT methods based on fuzzy logic (FL) [29][30][31][32], evolutionary algorithms (EA) [33][34][35], hybrid methods [36][37][38], and other methods [39][40][41][42] have been applied to PVS. Considering the expected performance of the revised MPPT techniques in EV applications, they share one main problem: the tracking speed is not fast enough to follow sudden changes in irradiance.…”

Section: Introductionmentioning

confidence: 99%

System-Independent Irradiance Sensorless ANN-Based MPPT for Photovoltaic Systems in Electric Vehicles

2021

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The integration of photovoltaic systems (PVS) in electric vehicles (EV) increases the vehicle’s autonomy by providing an additional energy source other than the battery. However, current solar cell technology generates around 200 W for a 1.4 m2 panel (to be installed on the roof of the EV) at stable irradiance conditions. This limitation in production and the sudden changes in irradiance produced by shadows of clouds, buildings, and other structures make developing a fast and efficient maximum power point tracking (MPPT) technique in this area necessary. This article proposes an artificial neural network (ANN)-based MPPT, called DS-ANN, that uses manufacturer datasheet parameters as inputs to the network to address this problem. The Bayesian backpropagation-regularization performs the training, ensuring that the MPPT technique operates satisfactorily on different PVS without retraining. We simulated the response of 20 commercial modules against actual irradiance data to validate the proposed method. The results show that our method achieves an average tracking efficiency of 99.66%, improving by 1.21% over an enhanced P&O method.

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Section: Introductionmentioning

confidence: 99%

System-Independent Irradiance Sensorless ANN-Based MPPT for Photovoltaic Systems in Electric Vehicles

2021

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“…Indeed, in the modeling step of actual PV cell behavior, several PV models have been proposed [9,10]. Among them, the equivalent electrical circuit, shown in Figure 2, is the most widely one used for computing the predicted current model [16][17][18][19]. Two resistances and a N P diode is available.…”

Section: Introductionmentioning

confidence: 99%

“…P&O is the first algorithm among the MPPT algorithms used in PV systems. To implement it in direct mode control, a duty cycle D and a sampling frequency are assigned at the beginning as illustrated in Figure 4 [8,17,18]: and…”

Section: Introductionmentioning

confidence: 99%

An Optimal Tilt Integral Derivative Applied to the Regulation of DC Link Voltage in a Stand-Alone Hybrid Energy System

Bahri¹,

Talbi²,

Mordjaoui³

et al. 2021

JESA

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This paper presents an application of fractional control scheme named Tilt Integral Derivative (TID) to control a stand-alone hybrid energy system composed of a solar photovoltaic (PV) system and a battery bank (BB). A three-level NPC inverter is inserted in order to increase the efficiency of the energy injected into the AC load. Variation in solar radiation or AC load may cause power imbalance, which leads to variation in DC link voltage. As a solution, a buck-boost converter is connected between the DC link and the battery bank to ensures the transfer of energy in both directions. The parameters of TID controller were tuned using a powerful optimization technique known a Genetic Algorithm (GA) by minimizing the Mean Square Error (MSE) used as a performance index. The effectiveness of the proposed TID controller is demonstrated through a comparison with a conventional Proportional-Integral-Derivative (PID) controller, whose parameters are computed by the pidtool function of the Matlab/Simulink tool where the DC link voltage behavior is previously modeled by a capacitor transfer function. The obtained results show that the proposed TID controller provides a stable DC bus with low chattering, regardless of the rapid irradiation and load changes, when compared to a conventional PID controller.

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“…Viewing Intelligent methods such as an Artificial Neural Network (ANN) [7][8][9], Fuzzy Logic (FL) [10][11][12] and the Artificial Bee Colony (ABC) [13,14], show that they are mostly digital complex methods, requires a lot of calculations and expensive as they need to use powerful microcontrollers due to the enormous computational load. They have fast converged speed and the highest accuracy for tracking the MPP.…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic array maximum power point tracking via modified perturbation and observation algorithm

Numan

Shakir

Mahmood

2020

IJPEDS

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One drawback of PVs is their low efficiency. As the PVs have a unique maximum Power Point for a specified irradiation level, there must be an effective method for extracting maximum power from the PV module to raise the efficiency. Conventional Perturbation and Observation (P&O) is a simple algorithm for maximum power point tracking (MPPT) but it suffers from oscillation during steady state conditions and is deviated from the maximum power point during slow and rapid irradiation level change. This paper presents a modified P&O by adding variation in PV current as a third in addition to the voltage and power variation parameters. This new algorithm is capable of eliminating the MPPT deviation. To increase the perturbation speed, a double step is taken as the tracking is deviated from the MPP. The modified P&O algorithm is used to control the duty cycle of DC-DC buck converter. The simulation shows that the modified P&O is faster than the conventional. The power loss due to oscillation before attaining the steady state is less for modified P&O. For slow irradiation level change (ramp up 600 to 1000 and ramp down 1000-800) W/m2, the modified P&O shows less tracking diverge. As the irradiation level changes rapidly from 800 to 200 W/m2, it's shown that the modified algorithm attains the steady state faster than the conventional P&O and the average efficiency increased by 4.34%.

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Modeling and Fuzzy MPPT Controller Design for Photovoltaic Module Equipped with a Closed-Loop Cooling System

Cited by 17 publications

References 22 publications

System-Independent Irradiance Sensorless ANN-Based MPPT for Photovoltaic Systems in Electric Vehicles

System-Independent Irradiance Sensorless ANN-Based MPPT for Photovoltaic Systems in Electric Vehicles

An Optimal Tilt Integral Derivative Applied to the Regulation of DC Link Voltage in a Stand-Alone Hybrid Energy System

Photovoltaic array maximum power point tracking via modified perturbation and observation algorithm

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