Comparative analysis of cascaded fuzzy-PI controllers based-MPPT and perturb and observe MPPT in a grid-connected PV system operating under different weather and loading conditions

Otmane, Harici; Mouloudi, Youssef; Bendjebbar, Mokhtar

doi:10.11591/ijpeds.v10.i4.pp1986-1994

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…The Perturb and Observe technique is used for MPPT due to its simplicity. The PV terminal voltage and current are the input to the Perturb & Observe technique which set the duty cycle of the inverter [35]- [37]. The phase displacement technique is utilized to generate the gating signals for the inverter MOSFETs.…”

Section: Design Of Lcc Compensated Ipt For Pv Systemmentioning

confidence: 99%

Design and performance evaluation of a PV interface system based on inductive power transfer

Marei

Mokhtar

Abdelsattar

2021

IJPEDS

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This paper presents a photovoltaic (PV) based battery charger utilizing a wireless power transfer (WPT) interface system. The double-sided inductor-capacitor-capacitor (LCC) compensation network is utilized for the inductive power transfer (IPT) system. Because of nonlinear characteristics of the PV, the maximum power point tracking (MPPT) is achieved by controlling the phase displacement angle or the pulse width of the quasi-square pulse inverter connected to the transmitting coil of the IPT system. As a result, the power transferred to the secondary-side, which is connected to a battery bank, is regulated. The IPT-based PV interface system is designed to achieve zero voltage switching (ZVS) in the primary side at rated conditions to minimize the switching loss. Extensive simulation studies are carried out using EMTDC/PSCAD software to investigate the dynamic performance of the proposed IPT-based PV interface system.

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Section: Design Of Lcc Compensated Ipt For Pv Systemmentioning

confidence: 99%

Design and performance evaluation of a PV interface system based on inductive power transfer

Marei

Mokhtar

Abdelsattar

2021

IJPEDS

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“…The maximum power point tracking (MPPT) method allows tracking a LMPP rather than a GMPP. However, these methods have drawbacks that reduce their performance, such as suggesting a fixed and small step size of duty cycle and which causes slow tracking under rapid weather conditions, high fluctuations under MPP, and tracking the LMPP rather than GMPP under partial protecting environments [3]- [5]. There Int J Pow Elec & Dri Syst ISSN: 2088-8694  are several traditional MPPT methods, such as open circuit voltage (𝑉 𝑂𝐶 ),short circuit current( 𝐼 𝑆𝐶 ),hill climbing (HC), Pilot cell algorithm.…”

Section: Introductionmentioning

confidence: 99%

A state of the art a hybrid intelligent strategies of maximum power point tracking: a systematic contemporary

Shalal,

Aljanabi,

Al-Shamani

et al. 2023

IJPEDS

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Renewable energy sources are among the best substitute sources to fossil fuel due to it is very suitable for mitigating global warming; solar energy is considered the main causes of renewable energy, and solar photovoltaic (PV) generation systems have gained importance worldwide due to several characteristics, including cheap maintenance, low noise, and low fuel costs. However, one of the most difficult challenges facing solar energy systems is changing weather circumstances. The robust control approach stabilizes the PV system's output and maximizes harvested energy. In this study, several maximum power point tracking (MPPT) performances have been presented. Among them, artificial intelligence (AI) based on MPPT methods demonstrates the ability to capture the MPP point. There are several ways to apply AI to MPPT, and this paper presented various intelligent MPPT methods in detail with their benefits and drawbacks and comparison among them to select which technique is suitable and can be used to change weather conditions with<strong> </strong>horse optimization method (HOM) plus neural artificial system (NAS).

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“…In work [11], the photovoltaic system was analyzed and simulated in order to test two improved MPPT techniques: perturb and observe (P&O) with PI controller and fuzzy PI controller optimized through genetic algorithms (GAs). A comparison between the MPPT technique using the fuzzy PI controller in a hybrid cascade, and the MPPT technique using the "perturb and observe" (P&O) algorithm, was presented in the work [12]. A comparative study between the control of the DC-DC converter of boost type and the threephase inverter with the fuzzy logic controller or PI controller was presented in work [13].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of a Photovoltaic System Connected to a Three-Phase Grid by Using PI or Fuzzy Logic Controllers

Livinti

2021

Sustainability

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This work presents a comparative study for a photovoltaic system connected to a three-phase grid through a three-phase inverter controlled by a fuzzy logic controller or through a proportional-integral (PI) controller. The innovative aspect of this article consists of the elaboration of two models in MATLAB–Simulink for the photovoltaic system consisting of 40 photovoltaic panels and of the control algorithms of the three-phase inverter for each type of controller. The comparative analysis of the results obtained through simulation has established that the use of the fuzzy logic controller (for controlling the three-phase inverter) leads to transferring to the alternative current (AC) grid an electric power of 6.5 kW, whilst the use of the PI type controller leads to transferring to the AC grid an electric power of 4.6 kW under the same value of the intensity of solar radiation. The total harmonic distortion (THD) of the voltage resulting after the filtering circuit has a lower value in case of using the fuzzy logic controller than in case of using the PI controller. Through the usage of the fuzzy logic controller for controlling the inverter, an increase in quantity and quality of the electric energy introduced to an AC grid from a photovoltaic system was noticed, compared to the usage of a PI controller.

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Comparative analysis of cascaded fuzzy-PI controllers based-MPPT and perturb and observe MPPT in a grid-connected PV system operating under different weather and loading conditions

Cited by 5 publications

References 10 publications

Design and performance evaluation of a PV interface system based on inductive power transfer

Design and performance evaluation of a PV interface system based on inductive power transfer

A state of the art a hybrid intelligent strategies of maximum power point tracking: a systematic contemporary

Comparative Study of a Photovoltaic System Connected to a Three-Phase Grid by Using PI or Fuzzy Logic Controllers

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