Dynamic performance study of an MPPT controller using synergetic controller for a photovoltaic system

被引：0

作者：

Hadjadj, Kamel ^{[1
]}

Attoui, Hadjira ^{[1
]}

Djari, Abdelhamid ^{[2
]}

机构：

[1] Univ Setif 1, Fac Technol, QUERE Lab, Setif 19000, Algeria

[2] Univ Tebessa, Dept Elect Engn, Tebessa, Algeria

来源：

PROGRAM OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATIC CONTROL, ICEEAC 2024 | 2024年

关键词：

Maximum power point tracking; Synergetic control; Fuzzy logic control; P&O algorithm; Photovoltaic system; POWER POINT TRACKING; TRACKERS;

D O I：

10.1109/ICEEAC61226.2024.10576505

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study concentrates on improving maximum power point tracking (MPPT) for solar panel system using synergistic approach optimized by particle swarm optimization (PSO) algorithm. The efficacy of this new approach was assessed by contrasting it against a standard perturbation and observation (P&O) controller and a sophisticated Fuzzy Logic Controller (FLC). Simulation tests conducted under various weather conditions demonstrated that the synergistic controller (SC) provides superior stability and response speed compared to both the P&O and FLC controllers.

引用

页数：5

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