An Advanced Switch Failure Diagnosis Method and Fault Tolerant Strategy in Photovoltaic Boost Converter

Zdiri, Mohamed Ali; Ammar, Mohsen Ben; Bouzidi, Badii; Rabhi, Abdessalem; Abdallah, Hsan Hadj

doi:10.1080/15325008.2021.1909182

Cited by 12 publications

(4 citation statements)

References 35 publications

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“…Series resistance is because of the losses in the path of the current brought on by the metal frame and current connecting the bus. The parallel resistance is used to represent a slight current leakage across the p-n junction most probably created by the resistive passageway [20], [21]. The analogous circuit is shown in Figure 1.…”

Section: Methodologies 21 Fuzzy Logic Approachmentioning

confidence: 99%

A painstaking analysis of various conventional and AI based MPPT approaches to the PV framework

Rout,

Mishra,

Mishra

et al. 2023

IJPEDS

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Electricity is the best technological advancement ever. Power is now used for everything in our culture because of how far it has come. Quiddity of life would not be possible without it. We know that the sole free hotspot for the PV module in our environmental factors is the sun. The PV cell changes sun-powered energy into electrical energy when the sun radiates on it. At the point when you produce power with the sunlight-based chargers, no ozone-harming substance emanations are placed into the climate. Since, the sun creates more energy than any manmade process at any point requires so as a result, in this article we will look at a variety of ways as well as a successful MPP strategy with high efficacy. It encompasses incremental conductance, perturbs & observe, and fuzzy logic approaches. A boost (DC-DC) converter ameliorates the likeness between a solar array and storage or power grid. In many solar-producing systems, DC/DC converters assist in surveilling the utmost power point by acting as a bridge betwixt load and solar panel. The intent of achieving the highest possible electricity can be done by calibrating the load to compare the current and voltage of a photovoltaic cell.

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Section: Methodologies 21 Fuzzy Logic Approachmentioning

confidence: 99%

A painstaking analysis of various conventional and AI based MPPT approaches to the PV framework

Rout,

Mishra,

Mishra

et al. 2023

IJPEDS

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show abstract

“…The converter in use is a setup voltage converter that is controlled via PWM. The PWM bloc's input is generated using MPPT techniques [34]. Figure 5 depicts the boost converter, which contains an inductor, a diode, a high-frequency switch, and a capacitor [35][36].…”

Section: Converter Modellingmentioning

confidence: 99%

An Advanced Artificial Neural Network Energy Management in Standalone PV Systems

Alzaroog

Ammar

Zdiri

et al. 2022

IJEER

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With the ever-increasing prevalent power crisis and pollution of the environment, solar power, has attracted greater attention as a new and clean energy source. It provides an alternative solution for isolated sites with an unavailable grid connection. However, it is not without any drawbacks, mainly its intermittent nature, related primarily owing to its reliance on meteorological variables such as the temperature outside and the amount of sunlight. In effect, the PV systems that produced electrical energy could well display an electricity excess or deficit at the loads level, likely to result in system service discontinuity. In this respect, the present paper is designed to provide an intelligent management strategy to PV station owners with a dump load. It can involve serving two customers simultaneously according to the following scenarios: the PV production installation of the customer1 is greater than their required load; however, the customer2's neighboring station does not have enough power to cover its electrical load. This case brings electrical energy from the initial station to make up for the shortfall, and vice versa. Lithium-ion batteries step in the case when the essential electrical power cannot be delivered either by the local station or the neighboring one or to keep the accumulated power excess. If one of the stations (1 or 2) detects a power surplus and the batteries are completely charged, the generated power excess must be redirected to a secondary load, commonly known as the dump load. Relying on the artificial neural network controller, the suggested exchange control is used for two independent PV-battery stations with dump load. The MATLAB/Simulink attained simulation turns out to demonstrate the advanced controller’s noticeable performance and effectiveness in managing the standalone PV system’s operability in terms of continuous electrical energy delivery flow to the resistive load while reducing power waste and increasing the lithium-ion battery lifespan.

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“…The boost converter, as shown in Fig. 5, is made up of an inductor, a high frequency switch, a diode and a capacitor [34][35].…”

Section: Description Of the Boost Convertermentioning

confidence: 99%

Fuzzy Logic Energy Management between Stand-alone PV Systems

Ammar

Zdiri

Ammar

2021

IJRER

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Because of its environmental benefits, PV technology is widely used in several applications. It presents an alternative solution for isolated sites that does not dispose a grid connection. However, it has drawbacks, its intermittent character, due to its dependency on meteorological parameters such as the outside temperature and solar irradiation. The energy produced by the PV systems can have an excess or deficit of electricity at the loads, which leads to unused energy or a service discontinuity. This paper presents an intelligent strategy management between photovoltaic station owners. It can be involved as follow between two customers: the photovoltaic installation production of the first customer is higher than its load requirement; however, the neighboring station has a lack of energy to cover its load. In this case, it brings energy from station 1 to cover the insufficiency and vice versa. The batteries intervene neither, if the required energy cannot be provided by the local and the neighbored stations, nor, to store the excess power. The dual standalone photovoltaic system was created using MATLAB Simulink environment. Basing on the fuzzy logic controller, the proposed management exchange algorithm is applied for a two stand-alone PV-battery stations. The Mamdani is one of the widely known fuzzy inference system. It ensures continuous energy delivery to the load while minimizing wasted power. The simulation results demonstrate the previously mentioned controller performances and effectiveness between standalone PV systems.

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An Advanced Switch Failure Diagnosis Method and Fault Tolerant Strategy in Photovoltaic Boost Converter

Cited by 12 publications

References 35 publications

A painstaking analysis of various conventional and AI based MPPT approaches to the PV framework

A painstaking analysis of various conventional and AI based MPPT approaches to the PV framework

An Advanced Artificial Neural Network Energy Management in Standalone PV Systems

Fuzzy Logic Energy Management between Stand-alone PV Systems

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