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Artificial Intelligence Based MPPT Techniques for Solar Power System: A review

Journal of Modern Power Systems and Clean Energy 2020年第6期8卷 1043-1059页

作者： Kah Yung Yap charles r.sarimuthu Joanne Mun-Yee Lim the Department of Electrical and Computer Systems Engineering(ECSE) School of EngineeringMonash UniversitySubang JayaMalaysia

In the last decade,artificial intelligence(AI)techniques have been extensively used for maximum power point tracking(MPPT)in the solar power *** is because conventional MPPT techniques are incapable of tracking the global maximum power point(GMPP)under partial shading condition(PSC).The output curve of the power versus voltage for a solar panel has only one GMPP and multiple local maximum power points(MPPs).The integration of AI in MPPT is crucial to guarantee the tracking of GMPP while increasing the overall efficiency and performance of *** selection of AI-based MPPT techniques is complicated because each technique has its own merits and *** general,all of the AI-based MPPT techniques exhibit fast convergence speed,less steady-state oscillation and high efficiency,compared with the conventional MPPT ***,the AI-based MPPT techniques are computationally intensive and costly to ***,the hybrid MPPT is favorable in terms of the balance between performance and complexity,and it combines the advantages of conventional and AI-based MPPT *** this paper,a detailed comparison of classification and performance between 6 major AI-based MPPT techniques have been made based on the review and MATLAB/Simulink simulation *** merits,open issues and technical implementations of AI-based MPPT techniques are *** intend to provide new insights into the choice of optimal AI-based MPPT techniques.

关键词： Maximum power point tracking(MPPT) artificial intelligence(AI) fuzzy logic control(FLC) artificial neural network(ANN) genetic algorithm(GA) swarm intelligence(SI) machine learning(ML)

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Fuzzy Logic Controller-based Synchronverter in Grid-connected Solar Power System with Adaptive Damping Factor

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Chinese Journal of Electrical Engineering 2021年第2期7卷 37-49页

作者： Kah Yung Yap Chee Ming Beh charles r.sarimuthu Department of Electrical and Computer Systems Engineering(ECSE) School of EngineeringMonash University MalaysiaSubang Jaya 47500Malaysia

In recent years,renewable energy sources,specifically solar power systems,have developed rapidly owing to their technological maturity and cost ***,its grid integration deteriorates frequency stability because of insufficient rotating masses and inertial ***,a synchronverter,which is an inverter that mimics the operation of a synchronous generator,is crucial to interface solar power in a power *** stabilizes the power grid by emulating a virtual ***,a conventional proportional-integral(PI)-based synchronverter is not equipped with an adaptive damping factor(Dp)or a digitalized smart controller to manage fast-responding solar ***,a novel fuzzy logic controller(FLC)framework is proposed such that the synchronverter can operate in a grid-connected solar power *** this study,Dp is controlled in real time using an FLC to achieve balance between speed and stability for frequency error correction based on frequency *** of four case studies performed in Matlab/Simulink show that the proposed FLC-based synchronverter can stabilize the grid frequency by reducing the frequency deviation by at least 0.2 Hz(0.4%),as compared with the conventional PI-based synchronverter.

关键词： Fuzzy logic controller(FLC) synchronverter renewable energy system(rES) grid stability solar power system

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