Modelling and simulation of maximum power point tracking of photovoltaic system in Simulink model

Abdulkadir, M.; Samosir, Ahmad Saudi; Yatim, A.H.M.

doi:10.1109/pecon.2012.6450231

Cited by 61 publications

(41 citation statements)

References 20 publications

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“…In equation (9) Figure 2 shows the search mechanism of PSO in multidimensional search space [12,14]. The different steps of PSO are as follows [15]:…”

Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Maximum Power Point Tracking of Photovoltaic Generators Partially Shaded Using a Hybrid Artificial Neural Network and Particle Swarm Optimization Algorithm

Said¹

2017

IJEPE

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This paper addresses the research methodology for Maximum Power Point Tracking (MPPT). Photovoltaic (PV)Generators may receive different level of solar irradiance and temperature, such as partially shaded by clouds, tree leaves or nearby building. Under partial shaded conditions, several peak power points can occur when the PV module is shaded, which would significantly reduce the energy produced by PV Generators without proper control. Therefore, a Maximum Power Point Tracking (MPPT) Algorithm is used to extract the maximum available PV power from the PV array. However, the common used conventional MPPT algorithms are unable to detect global peak (GP) power point with the presence of several local peaks (LP). In this paper, a hybrid Particle Swarm Optimization and Artificial Neural Network (PSO-ANN) algorithm is proposed to detect the global peak power. MATLAB/Simulink is used to simulate a PV system which consists of PV Generators, DC-DC boost converter, a hybrid PSO-ANN Algorithm, and a resistive load. The simulation results are compared and discussed. The proposed algorithm should perform well to detect the Global Peak of the PV array even under partial shaded conditions.

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“…In equation (9) Figure 2 shows the search mechanism of PSO in multidimensional search space [12,14]. The different steps of PSO are as follows [15]:…”

Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Maximum Power Point Tracking of Photovoltaic Generators Partially Shaded Using a Hybrid Artificial Neural Network and Particle Swarm Optimization Algorithm

Said¹

2017

IJEPE

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“…This model is known as a single diode model of solar cell. Two diode models are also available but only single diode model is considered here [8,12,14]. In this model we consider a current source (I ) along with a diode and series resistance (R s ).…”

Section: Discharging Modementioning

confidence: 99%

“…The modeling of PV panel and the MPPT control is presented in [8][9][10][11][12][13][14][15][16]. The proposed converter attains high gain by efficiently utilizing the coupled inductor and recycling the leakage inductors energy and MPPT controls the duty ratio of the BOOST converter to extract the maximum power from PV panel.…”

Section: Introductionmentioning

confidence: 99%

High Step-Up DC—DC Converter for AC Photovoltaic Module with MPPT Control

Sundar¹,

Karthick²,

Reddy³

2014

Journal of Electrical Engineering

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This paper presents the high gain step-up BOOST converter which is essential to step up the low output voltage from PV panel to the high voltage according to the requirement of the application. In this paper a high gain BOOST converter with coupled inductor technique is proposed with the MPPT control. Without extreme duty ratios and the numerous turns-ratios of a coupled inductor this converter achieves a high step-up voltage-conversion ratio and the leakage energy of the coupled inductor is efficiently recycled to the load. MPPT control used to extract the maximum power from PV panel by controlling the Duty ratio of the converter. The PV panel, BOOST converter and the MPPT are modeled using Sim Power System blocks in MATLAB/SIMULINK environment. The prototype model of the proposed converter has been implemented with the maximum measured efficiency is up to 95.4 % and full-load efficiency is 93.1 % .

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“…In order to operate a PV system within its MPP, a maximum power point tracking algorithm is needed to search and maintain the peak power [4], the MPP in the I-V characteristic is not known a priori. It must be located, either through model calculation or by search algorithm, different MPPT algorithms are proposed in different sources [16][17][18][19][20][21]. Most of the MPPT algorithms search the MPP by comparing the output power of the PV module before, and after the duty cycle of the converter is changed [18], this algorithm can be explained as follows: Referring to Fig.2 (f), the property that is utilized to track the MPP , is based on that, from the shown shape of P-V characteristic, is that the slope (dP/dV) of P-V curve becomes zero at the MPP, where the slope (dP/dV) is the derivative of the PV module's power with respect to its voltage, and has the following relationships with the MPP.…”

Section: A Maximum Power Point Mpp and Tracking Mpptmentioning

confidence: 99%

“…The transfer function of lowpass filter is given by Eq. (19) , where the current now is prefilter current. This PV panel model is integrated with control system and buck converter model (refined or simplified) to result in general model shown in Fig.14, the prefilter current is fed to PI-controller and the control signal is used according to is duty cycle to control converter switch, this proposed model can be used to apply different approaches to control outputs pf PVPC system including PV panel output current.…”

Section: Controlling Pvpc System Outputs Applying Pv Panel As Defimentioning

confidence: 99%

Modeling, Simulation and Control Studies on Photovoltaic-Converter System for Mechatronics Design of Solar Electric Application

Salem¹,

Saleh²

2014

IJISA

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Abstract-This paper presents some considerations regarding design, modeling and control solutions for Photovoltaic PanelConverter (PVPC) system. Different control approaches and corresponding models are derived, developed and tested, to control output characteristics and performance of both overall PVPC system and each subsystem to meet desired output characteristics, performance and both and/or either voltages and currents requirements. The proposed approaches and models allow designer have the maximum output numerical visual and graphical data to select, evaluate and control the PVPC system output characteristics for a given PVPC system parameters, under given working conditions of PV panel. The proposed models and approaches were implemented and tested in MATLAB/Simulink

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Modelling and simulation of maximum power point tracking of photovoltaic system in Simulink model

Cited by 61 publications

References 20 publications

Maximum Power Point Tracking of Photovoltaic Generators Partially Shaded Using a Hybrid Artificial Neural Network and Particle Swarm Optimization Algorithm

Maximum Power Point Tracking of Photovoltaic Generators Partially Shaded Using a Hybrid Artificial Neural Network and Particle Swarm Optimization Algorithm

High Step-Up DC—DC Converter for AC Photovoltaic Module with MPPT Control

Modeling, Simulation and Control Studies on Photovoltaic-Converter System for Mechatronics Design of Solar Electric Application

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