Design and Implementation of an Improved Metaheuristic Algorithm for Maximum Power Point Tracking Algorithm Based on a PV Emulator and a Double-Stage Grid-Connected System

S. Meddour, D. Rahem, P. Wira, H. Laib, A. Cherif, Ihssane Chtouki
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引用次数: 1

Abstract

This research article proposes the optimization of a grid-connected photovoltaic system based on the PV emulator (PVE), the Boost converter, and a single-phase full-bridge inverter. The main objective is to track and extract the highest amount of power from the PV system working under variable solar irradiation while reducing losses and time response in each stage of the converter. As none, the main flaw of the classical maximum power point tracking algorithm (MPPT) is its performance. The control law design is based on a PI controller in the PVE, a meta heuristic whale optimization algorithm (WOA) in the MPPT, and a reduced switching finite set model predictive control (RS-FS-MPC) for the single-phase full-bridge inverter. The proposed control techniques inherit the property of robustness and successfully deal with the nonlinear behavior of the system. The performance validation and effectiveness of the proposed control techniques is supported by MATLAB/SIMULINK simulations and is also verified experimentally on various systems carried out under varying solar irradiation.
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基于PV仿真器和双级并网系统的最大功率点跟踪改进元启发式算法的设计与实现
本文提出了一种基于PV仿真器(PVE)、Boost变换器和单相全桥逆变器的并网光伏系统优化方案。主要目标是跟踪和提取在可变太阳辐射下工作的光伏系统的最高功率,同时减少转换器每个阶段的损耗和时间响应。经典最大功率点跟踪算法(MPPT)的主要缺陷在于性能。控制律设计基于PVE中的PI控制器,MPPT中的元启发式鲸鱼优化算法(WOA)和单相全桥逆变器的简化开关有限集模型预测控制(RS-FS-MPC)。所提出的控制方法继承了系统的鲁棒性,成功地处理了系统的非线性行为。MATLAB/SIMULINK仿真支持了所提出控制技术的性能验证和有效性,并在不同太阳辐照度下的各种系统上进行了实验验证。
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