Implementation of Modified Perturb and Observe Based MPPT Algorithm for Photovoltaic System

Guiza, Dhaouadi; Ounnas, Djamel; Soufi, Youcef; Bouden, Abdelmalek; Mahmoud, Muhammad M.A.S.

doi:10.1109/icsresa49121.2019.9182483

Cited by 18 publications

(11 citation statements)

References 14 publications

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“…PV curve with just unique maximum point under typical circumstances, thus there is no issue. Regarding the level of detail, budget, attractiveness, rapid converging, technical specifications, and plus efficiency, all of the mentioned are distinctive [26].…”

Section: Mppt Algorithmsmentioning

confidence: 99%

MPPT implementation and simulation using developed P&O algorithm for photovoltaic system concerning efficiency

AlZubaidi¹,

Khaliq²,

Hamad³

et al. 2022

Bulletin EEI

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The great development witnessed by investments in renewable energy has made it the focus of researchers’ attention in order to increase its efficiency. This is due to the increase in demand for electrical energy due to rapid technological growth, increase in population numbers, and high fuel prices that are used in the production of traditional electrical energy, but it suffers from a problem that is greatly affected by two factors, namely, the change in the intensity of solar irradiation and temperature, which makes its electrical characteristics non-linear, which causes a decrease in its efficiency. To address the efficiency problem, the researchers developed several techniques for tracking the MPP point and extracting the maximum energy from the solar panels under various measurement conditions. Maximum power point tracking technology (MPPT) technology is the most widely used technology in solar energy systems. In this article, MPPT technology is simulated using MATLAB/Simulink for the purposes of extracting maximum power and managing the duty cycle of a DC-DC buck converter. The performance of the photovoltaic system under various irradiance fluctuations and settings of constant temperature could well be determined using simulation results. Under standard and varied test settings, allowing the inverter to convert over 99% of the electricity provided by the solar panels.

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Section: Mppt Algorithmsmentioning

confidence: 99%

MPPT implementation and simulation using developed P&O algorithm for photovoltaic system concerning efficiency

AlZubaidi¹,

Khaliq²,

Hamad³

et al. 2022

Bulletin EEI

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“…The P and O method for MPPT is proposed for this research, because of its simplicity; it possesses fewer measured parameters and can track maximum power under varying irradiation and temperature quite accurately [6,7]. It can be seen in Fig.…”

Section: Perturb and Observe (P And O) Algorithmmentioning

confidence: 99%

“…It extracts the maximum power from the source and transfers it to the load by stepping up (boost) or stepping down (buck) as per the requirement at the load side, the power transfer is carried out in accordance with the maximum power value by varying the on/off duty cycle of switch of the DC-DC converter. DC-DC converter that is suitable for high-power conversion applications requires magnetic transformer coupling between input and output stage" [6,7,10,11].…”

Section: Block Diagram For Mppt Of Pv Systemmentioning

confidence: 99%

“…Direct control MPPT decreases power loss and therefore improves the efficiency of the system. For each population of whales, i.e., duty ratios, the corresponding voltage and current are sensed by the controller and output power is computed" [7,13]. "The main objective of optimal control is to determine control signals that will cause a process (plant) to satisfy some physical constraints and at the same time optimise (maximise or minimise) a chosen performance criterion (performance index or cost function)" [15].…”

Section: Application Of Woa For Mpptmentioning

confidence: 99%

“…The study experimented how to track the maximum power at variable climatic and Partial Shaded Conditions (PSC). The proposed technique proved to possess a superior fit in terms of accuracy and tracking speed [6,7,8]. "A new efficient step-up DC-DC boost converter with charge pump-capacitor and CLD cell was introduced, 10 V was given as input voltage, while 100 V was achieved at the output.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Control of 3.5 MW Solar Hybrid Power Plant of Joseph Sarwuan Tarka University Makurdi, Benue State, Nigeria

Nyiekaa

Iortim²,

Agber³

2022

JENRR

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The operation of power-generating plants becomes complex when two or more sources of power are combined. The decision of which source should take priority of load demand at various intervals requires sensitive control approaches. The Joseph Sarwuan Tarka University Makurdi (JOSTUM) 3.5 Mega Watts Solar Hybrid Power Plant (SHPP) has one source of renewable system; photovoltaic (PV) array, one source of energy storage system; battery banks, and one source of backup system; diesel generators (DGs), power conversion devices; Photovoltaic inverters (PVIs), power conditioning systems (PCSs) and switchgears were modelled and simulated. The emphasis of the research is to obtain a control technique, which when applied to the PVI would improve the power produced from the PV array system. For a PV module to harvest the maximum amount of solar energy and simultaneously attain higher efficiency, PV systems must be operated at their maximum power point (MPP) under partially shaded conditions (PSC), varying irradiances and temperature. Maximum power point tracking (MPPT) methods are capable of guaranteeing MPP under varying climatic conditions. A control scheme is proposed using Whale Optimization Algorithm (WOA)-based MPPT control technique in order to improve the output power of the PV array. The output of the existing system from the PV array is about 1,800 kW, but when the WOA-based MPPT control technique is applied, an output of about 2,800 kW is produced. To validate the choice of the proposed technique, perturb and observe (P and O) algorithm for MPPT was tested on the system, which generated a mean power of 2,300 kW. The results proved that the proposed technique has an efficiency of 55.56% greater than the existing and P and O MPPT- based algorithm, which has 27.78%. The simulation was accomplished via MATLAB/Simulink.

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Fuzzy Logic based MPPT Control Strategies of PV Systems

Riahi,

Nasri,

Vergura

et al. 2023

2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Syst

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Implementation of Modified Perturb and Observe Based MPPT Algorithm for Photovoltaic System

Cited by 18 publications

References 14 publications

MPPT implementation and simulation using developed P&O algorithm for photovoltaic system concerning efficiency

MPPT implementation and simulation using developed P&O algorithm for photovoltaic system concerning efficiency

Optimal Control of 3.5 MW Solar Hybrid Power Plant of Joseph Sarwuan Tarka University Makurdi, Benue State, Nigeria

Fuzzy Logic based MPPT Control Strategies of PV Systems

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