MPPT control for photovoltaic system based on T-S fuzzy reasoning

机译：基于T-S模糊推理的光伏系统MPPT控制

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摘要

The output characteristics of the photovoltaic cell are a nonlinear and easily affected by external environment. The maximum power point tracking (MPPT) control is an effective method to improve the conversion efficiency of the photovoltaic system. In order to solve the problems of conventional fuzzy control algorithm, a new control strategy based on T-S fuzzy reasoning is proposed. This algorithm can avoid the oscillation near the maximum power point and reduce the energy loss with good dynamic and static performance. The model of the photovoltaic system is established and simulated by Matlab/Simulink. The simulation results show the effectiveness of the proposed control algorithm.

机译：光伏电池的输出特性是非线性的，容易受到外部环境的影响。最大功率点跟踪（MPPT）控制是提高光伏系统转换效率的有效方法。为了解决传统模糊控制算法存在的问题，提出了一种基于T-S模糊推理的控制策略。该算法可以避免在最大功率点附近发生振荡，并具有良好的动态和静态性能，从而减少了能量损失。 Matlab / Simulink建立并仿真了光伏系统的模型。仿真结果表明了所提控制算法的有效性。

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来源
《2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies》|2015年|1976-1980|共5页
会议地点 Changsha(CN)
作者
L. L. Wang;
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作者单位

North China Electric Power University, College of Electrical and Electronic Engineering, Beijing, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
MPPT; Simulink; T-S fuzzy reasoning; photovoltaic system;

机译：MPPT; Simulink; T-S模糊推理;光伏系统;

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专利

1. T-S fuzzy control for MPPT of photovoltaic pumping system [J] . Allouche Moez, Dahech Karim, Chaabane Mohamed, Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2018,第4期

机译：光伏泵送系统MPPT的T-S模糊控制
2. A GA-based optimization of a fuzzy-based MPPT controller for a photovoltaic pumping system, Case study for Laghouat, Algeria [J] . A. Hadjaissa, S.M. Ait cheikh, K. Ameur, IFAC PapersOnLine . 2016,第12期

机译：基于遗传算法的光伏泵送系统基于MPPT控制器的优化，案例研究，阿尔及利亚拉格瓦特
3. Fuzzy logic adaptive particle swarm optimisation based MPPT controller for photovoltaic systems [J] . Manel Merchaoui, Mahmoud Hamouda, Anis Sakly, Renewable Power Generation, IET . 2020,第15期

机译：基于模糊的逻辑自适应粒子优化的光伏系统MPPT控制器
4. MPPT control for photovoltaic system based on T-S fuzzy reasoning [C] . L. L. Wang International Conference on Electric Utility Deregulation and Restructuring and Power Technologies . 2015

机译：基于T-S模糊推理的光伏系统MPPT控制
5. Robust Hinfinity Model Reference Tracking Control of Singular Systems Using T-S Fuzzy Model and LMI [D] . Rohit, Shamendu Roy. 2014

机译：基于T-S模糊模型和LMI的鲁棒Hinfinity模型参考跟踪控制
6. Nonlinear adaptive NeuroFuzzy feedback linearization based MPPT control schemes for photovoltaic system in microgrid [O] . Muhammad Awais, Laiq Khan, Saghir Ahmad, 2020

机译：基于非线性自适应神经线性反馈线性化MPPT控制方案的微电网光伏系统
7. An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems [O] . Chun-Liang Liu, Jing-Hsiao Chen, Yi-Hua Liu, 2014

机译：基于非对称模糊逻辑控制的光伏系统mppT算法

MPPT control for photovoltaic system based on T-S fuzzy reasoning

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