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  • Open Access

    ARTICLE

    FCS-MPC Strategy for PV Grid-Connected Inverter Based on MLD Model

    Xiaojuan Lu, Qingbo Zhang*

    Energy Engineering, Vol.118, No.6, pp. 1729-1740, 2021, DOI:10.32604/EE.2021.014938

    Abstract In the process of grid-connected photovoltaic power generation, there are high requirements for the quality of the power that the inverter breaks into the grid. In this work, to improve the power quality of the grid-connected inverter into the grid, and the output of the system can meet the grid-connected requirements more quickly and accurately, we exhibit an approach toward establishing a mixed logical dynamical (MLD) model where logic variables were introduced to switch dynamics of the single-phase photovoltaic inverters. Besides, based on the model, our recent efforts in studying the finite control set model predictive control (FCS-MPC) and devising… More >

  • Open Access

    ARTICLE

    A Robust MPPT Control Based on Double Ended Forward Converter Architecture

    M. Usman Khan1,*, K. M. Hasan1, A. Faisal Murtaza2, H. M. Usman2, Hadeed A. Sher3

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 135-150, 2022, DOI:10.32604/cmc.2022.019381

    Abstract

    In this paper, a stand-alone photovoltaic (PV) system based on a Double Ended Forward Converter (DEFC) is presented. The proposed converter is specified for 48 V, 100 W applications as most of the equipment used in telecommunication and aircraft fall in this range. The literature has limited potential application of DEFC in PV systems. The research work deals with an in-depth study of DEFC and proposes an improved DEFC for PV applications with battery backup. Besides, a bi-directional dc-dc converter for the battery is integrated to track the Maximum Power Point (MPP) of the PV generator. The converter is examined… More >

  • Open Access

    ARTICLE

    Model Predictive Control of H7 Transformerless Inverter Powered by PV

    Ibrahim Atawi1, Sherif Zaid1,2,3,*

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 449-469, 2022, DOI:10.32604/iasc.2022.019959

    Abstract Transformerless inverters have become an important integration of the modern photovoltaic (PV) grid-tied systems. Unfortunately, it has a general safety problem regarding the earth leakage current that must be less than the recommended standards. Lately, the H7 transformerless inverter, which is a three-phase inverter with an additional switch on the DC side, is introduced to mitigate the earth leakage current. Different modulation techniques and controllers are proposed to optimize its performance. This paper proposed the application of model predictive control (MPC) to grid-connected H7 transformerless inverter supplied by the PV power system. In modeling the system, the grid inductance has… More >

  • Open Access

    ARTICLE

    Fault Detection Algorithms for Achieving Service Continuity in Photovoltaic Farms

    Sherif S. M. Ghoneim1,*, Amr E. Rashed2, Nagy I. Elkalashy1

    Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 467-479, 2021, DOI:10.32604/iasc.2021.016681

    Abstract This study uses several artificial intelligence approaches to detect and estimate electrical faults in photovoltaic (PV) farms. The fault detection approaches of random forest, logistic regression, naive Bayes, AdaBoost, and CN2 rule induction were selected from a total of 12 techniques because they produced better decisions for fault detection. The proposed techniques were designed using distributed PV current measurements, plant current, plant voltage, and power. Temperature, radiation, and fault resistance were treated randomly. The proposed classification model was created using the Orange platform. A classification tree was visualized, consisting of seven nodes and four leaves, with a depth of four… More >

  • Open Access

    ARTICLE

    Analysis of the Impact Resistance of Photovoltaic Panels Based on the Effective Thickness Method

    Jian Gong1, Lingzhi Xie1,2,*, Yongxue Li1, Zhichun Ni3, Qingzhu Wei3, Yupeng Wu4, Haonan Cheng5

    Journal of Renewable Materials, Vol.10, No.1, pp. 33-51, 2022, DOI:10.32604/jrm.2021.016262

    Abstract Based on the recent development of renewable energy utilization technology, in addition to centralized photovoltaic power plants, distributed photovoltaic power generation systems represented by building-integrated photovoltaic systems are frequently employed for power supply. Therefore, in the architectural design, the double-glass photovoltaic module used in the integrated photovoltaic building system puts forward a higher load-bearing capacity requirement and the corresponding simplified method of carrying capacity check. This article focuses on the simplified method of checking the bearing capacity of the four-sided simply supported double-glass photovoltaic module. First, the principle of equivalent stiffness is used to calculate the effective thickness. Then, the… More > Graphic Abstract

    Analysis of the Impact Resistance of Photovoltaic Panels Based on the Effective Thickness Method

  • Open Access

    ARTICLE

    Improving the Power Quality of Smart Microgrid Based Solar Photovoltaic Systems

    Emad H. El-Zohri1, Hegazy Rezk2,3,*, Basem Alamri4, Hamdy A. Ziedan5

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 201-213, 2021, DOI:10.32604/iasc.2021.018700

    Abstract Microgrids are hybrid power systems that consist of several distributed generation resources and local loads that can supply electrical power to remote or specific areas. The integration of microgrids with the utility network is one of the most recent technologies developed in countries like Egypt. One area of study is how the integration of smart microgrids and utility systems can be used to solve power quality problems such as voltage sags, increased use of distributed generators, deep energy, and power loss. This paper is aimed at investigating a possible solution to some common and dangerous power quality issues associated with… More >

  • Open Access

    ARTICLE

    Forecasting Model of Photovoltaic Power Based on KPCA-MCS-DCNN

    Huizhi Gou1,2,*, Yuncai Ning1

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.2, pp. 803-822, 2021, DOI:10.32604/cmes.2021.015922

    Abstract Accurate photovoltaic (PV) power prediction can effectively help the power sector to make rational energy planning and dispatching decisions, promote PV consumption, make full use of renewable energy and alleviate energy problems. To address this research objective, this paper proposes a prediction model based on kernel principal component analysis (KPCA), modified cuckoo search algorithm (MCS) and deep convolutional neural networks (DCNN). Firstly, KPCA is utilized to reduce the dimension of the feature, which aims to reduce the redundant input vectors. Then using MCS to optimize the parameters of DCNN. Finally, the photovoltaic power forecasting method of KPCA-MCS-DCNN is established. In… More >

  • Open Access

    ARTICLE

    Optimal Implementation of Photovoltaic and Battery Energy Storage in Distribution Networks

    Hussein Abdel-Mawgoud1, Salah Kamel1, Hegazy Rezk2,3, Tahir Khurshaid4, Sang-Bong Rhee4,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1463-1481, 2021, DOI:10.32604/cmc.2021.017995

    Abstract Recently, implementation of Battery Energy Storage (BES) with photovoltaic (PV) array in distribution networks is becoming very popular in overall the world. Integrating PV alone in distribution networks generates variable output power during 24-hours as it depends on variable natural source. PV can be able to generate constant output power during 24-hours by installing BES with it. Therefore, this paper presents a new application of a recent metaheuristic algorithm, called Slime Mould Algorithm (SMA), to determine the best size, and location of photovoltaic alone or with battery energy storage in the radial distribution system (RDS). This algorithm is modeled from… More >

  • Open Access

    ARTICLE

    A Robust Single-Sensor MPPT Strategy for Shaded Photovoltaic-Battery System

    A. N. M. Alahmadi1, Hegazy Rezk2,3,*

    Computer Systems Science and Engineering, Vol.37, No.1, pp. 63-71, 2021, DOI:10.32604/csse.2021.015029

    Abstract A robust single-sensor global maximum power point tracking (MPPT) strategy based on modern optimization for photovoltaic systems considering shading conditions is proposed in this work. The proposed strategy is designed for battery charging applications and direct current (DC) microgrids. Under normal operation, the curve of photovoltaic (PV) output power versus PV voltage contains only a single peak point. This point can be simply captured using any traditional tracking method like perturb and observe. However, this situation is completely different during the shadowing effect where several peaks appear on the power voltage curve. Most of these peaks are local with only… More >

  • Open Access

    ARTICLE

    An Efficient Fuzzy Logic Fault Detection and Identification Method of Photovoltaic Inverters

    Mokhtar Aly1,2, Hegazy Rezk3,4,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2283-2299, 2021, DOI:10.32604/cmc.2021.014786

    Abstract Fuzzy logic control (FLC) systems have found wide utilization in several industrial applications. This paper proposes a fuzzy logic-based fault detection and identification method for open-circuit switch fault in grid-tied photovoltaic (PV) inverters. Large installations and ambitious plans have been recently achieved for PV systems as clean and renewable power generation sources due to their improved environmental impacts and availability everywhere. Power converters represent the main parts for the grid integration of PV systems. However, PV power converters contain several power switches that construct their circuits. The power switches in PV systems are highly subjected to high stresses due to… More >

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