Maximum Power Point Tracking in Photovoltaic Grid-Connected Generation System by Using Fuzzy Control Algorithm

2011 ◽  
pp. 245-250 ◽  
Author(s):  
Jie Liu ◽  
HaiZhu Yang
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Generation System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Fuzzy Control Algorithm

A New Control Algorithm for Maximum Power Point Tracking of Photovoltaic Generation System

2011 ◽  
Vol 305 ◽  
pp. 230-234
Author(s):  
Xin Sheng He ◽  
Chun Fu Gao ◽  
Bin Wang ◽  
Zhi Yong Luo
Keyword(s):  
Output Power ◽  
Control Algorithm ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Generation System ◽  
Maximum Power Point ◽  
Photovoltaic Generation ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In order to maximize the power of photovoltaic generation system, it is necessary to track the maximum power point (MPP). A new control algorithm of photovoltaic (PV) was proprosed, which applied constant voltage tracking method (CVT) to adjust the working point around the MPP and ensure fast tracking when external conditions or loads changed suddenly. The algorithm used the optimal gradient method (OG) to make optimization of the steady-state characteristic and could effectively reduce the output power of photovoltaic array oscillation around maximum power point tracking (MPPT). The experiment and simulation results show that the proposed algorithm could track the MPP rapidly and accurately. And also could improve the energy conversion efficiency of PV generation system by reducing the output power oscillation around MPP.

scholarly journals Application of Fuzzy Control in a Photovoltaic Grid-Connected Inverter

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhaohong Zheng ◽  
Tianxia Zhang ◽  
Jiaxiang Xue
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Control Method ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Grid Connected Inverter ◽  
Power Point ◽  
Fuzzy Control Algorithm

To realize the maximum power output of a grid-connected inverter, the MPPT (maximum power point tracking) control method is needed. The perturbation and observation (P&O) method can cause the inverter operating point to oscillate near the maximum power. In this paper, the fuzzy control P&O method is proposed, and the fuzzy control algorithm is applied to the disturbance observation method. The simulation results of the P&O method with fuzzy control and the traditional P&O method prove that not only can the new method reduce the power loss caused by inverter oscillation during maximum power point tracking, but also it has the advantage of speed. Inductive loads in the post-grid-connected stage cause grid-connected current distortion. A fuzzy control algorithm is added to the traditional deadbeat grid-connected control method to improve the quality of the system’s grid-connected operation. The fuzzy deadbeat control method is verified by experiments, and the harmonic current of the grid-connected current is less than 3%.

scholarly journals Modeling and Simulation of an Intelligent Photovoltaic Controller Based on Variable Step Algorithm of Versoria

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bo Sun ◽  
Yongquan You ◽  
Zhiyong Zhang ◽  
Chao Li
Keyword(s):  
Control Algorithm ◽  
Photovoltaic Cells ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Step Algorithm ◽  
Output Characteristics ◽  
Power Point ◽  
Fuzzy Control Algorithm

As a green and renewable energy source, photovoltaic power is of great significance for the sustainable development of energy and has been increasingly exploited. The photovoltaic controller is the key component of a photovoltaic power generation system, and its central technology is the maximum power point tracking technology. In this paper, a mathematical model of photovoltaic cells is firstly established, the output characteristics of photovoltaic cells are analyzed, the main factors that affect the output efficiency of photovoltaic cells are obtained, and it is proved that the most important factor that affects the output power is the light intensity. Therefore, in the design, the maximum power point of the photovoltaic cell is tracked by the control algorithm and can maximize the use of photovoltaic output power fast charging. The key to the design of a photovoltaic controller is the design of control algorithm. So, an improved fuzzy control algorithm is proposed to overcome the shortcomings of the traditional maximum power point tracking (MPPT) algorithm. The algorithm can consider tracking both speed and convergence, but the algorithm requires high input and output fuzzy domain parameters, and although the tracking speed is fast, the stability of convergence is poor. For the limitation of fuzzy control algorithm, considering the property of the Versoria function, an MPPT design method for an intelligent controller based on the Versoria variable step algorithm is further proposed. According to the output characteristics of photovoltaic cells, three parameters, α, β, and γ, are set to solve the tracking speed and tracking stability. In order to reduce the static error, a genetic factor is proposed to sum up the historical error to effectively improve the tracking stability. The simulation results show that the algorithm can track the maximum power point quickly and has good tracking speed and stability. This algorithm can be used in engineering practice effectively.

A Research on the Fuzzy Control with Genetic Algorithm for Maximum Power Point Tracking of Photovoltaic Power System

2013 ◽  
Vol 303-306 ◽  
pp. 1153-1157
Author(s):  
Yi Zong Dai ◽  
De Jun Miao
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Point ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Based on the nonlinear of the photovoltaic device output power and the frequent changes in the work environment, a fuzzy controller with genetic algorithm was applied to maximum power point tracking (MPPT) of photovoltaic generation system. The problem of difference in the different interval of the maximum point was solved. It ensure that the system has a higher accuracy .By comparing the method of the fuzzy control and the method of fuzzy control with genetic algorithm through simulation , the result demonstrates the better control effect.

Review on Method of Maximum Power Point Tracking in Photovoltaic Generation System

2014 ◽  
Vol 494-495 ◽  
pp. 1710-1714 ◽  
Author(s):  
Dan Xu ◽  
Qi Yu Li ◽  
Hui Chen ◽  
Bing Gang Cao
Keyword(s):  
Maximum Power Point Tracking ◽  
Development Trend ◽  
Maximum Power ◽  
Generation System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Generation System ◽  
Power Point ◽  
The Development Trend

This article summarizes the methods of Maximum Power Point Tracking (MPPT),including the CVT, P&O, INC and intelligent control, and merits and demerits are narrated in detail. Their recent research results are analyzed, finally the prospect of the development trend in MPPT photovoltaic power generation system is discussed.

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