Data-driven optimal adaptive MPPT techniques for grid-connected photovoltaic systems

IF 6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Ain Shams Engineering Journal Pub Date : 2025-02-17 DOI:10.1016/j.asej.2025.103318

Ahmed H. EL-Ebiary, Mostafa I. Marei, Mohamed Mokhtar

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引用次数: 0

Abstract

The constant fluctuations in the maximum power obtained from Photovoltaic (PV) systems are due to variations of temperature and irradiance. Maximum Power Point Tracking (MPPT) techniques are used to guarantee the best possible efficiency and performance for the PV systems. In this paper, an Incremental Conductance (IC) MPPT technique based on adaptive controllers is proposed. This paper presents two different types of adaptive PI controllers, including optimized Fractional Order Adaptive PI (FOAPI), and Single Perceptron Adaptive PI (SP-API). The IC technique along with the adaptive controllers ensure accurate extraction of maximum power under sudden changes and different weather conditions. Moreover, machine learning is utilized to initialize the duty cycle of PV system converter, where different regression models are compared and the model with the least Root Mean square error (RMSE) is exploited. Three case studies are carried out to compare and validate the performance of the suggested adaptive MPPT controllers.

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来源期刊

Ain Shams Engineering Journal Engineering-General Engineering

CiteScore

10.80

自引率

13.30%

发文量

441

审稿时长

49 weeks

期刊介绍： in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.