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

Yi Zong Dai; De Jun Miao

doi:10.4028/www.scientific.net/AMM.303-306.1153

Paper Titles

Computer Vision Based Orange Grading Using SVM
p.1134

A Control System of Killing Oxygen by Adding Aluminum Process
p.1141

A Method of Harmonic Current Suppression in Photovoltaic Grid-Connected Systems
p.1145

A New Automotive Electronic Control System Open Architecture
p.1149

A Research on the Fuzzy Control with Genetic Algorithm for Maximum Power Point Tracking of Photovoltaic Power System
p.1153

A Simulation Platform for Dynamic Positioning Ship with Guidance, Navigation and Control Function
p.1158

An Automatic Plant Irrigation System Based on Fuzzy Control
p.1162

An Improved Design for PID Controller Based on Viere Theorem
p.1167

Equivalent Model and Maximum Wind Power Tracking Control Mechanism of Grid-Connected PMSWG
p.1171

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306A Research on the Fuzzy Control with Genetic...

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

Abstract:

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.

You might also be interested in these eBooks

Sensors, Measurement and Intelligent Materials

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

1153-1157

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.1153

Citation:

Cite this paper

Online since:

February 2013

Authors:

Yi Zong Dai, De Jun Miao

Keywords:

Fuzzy Control, Genetic Algorithm (GA), Maximum Power Point Tracking (MPPT), Photovoltaic Generation System

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Wang Wu-Li Solar photovoltaic maximum power point tracking system research[D] Shaanxi Normal University Shaanxi (2009).

Google Scholar

[2] Zhang Yu A research of Photovoltaic power generation system MPPT and islanding detection technology[D] Zhejiang University. Hangzhou (2006).

Google Scholar

[3] Wang Bao-Zong Photovoltaic system research based on the fuzzy control for maximum power point[J] Journal of Harbin University of Science and Technology 2012, (4): 13-17.

Google Scholar

[4] Chen C, Wong C. Self-generating rule-mapping fuzzy controller design using a genetic algorithm[J]. IEEE Transactions on Power systems, 1998, 13(3): 971-978.

Google Scholar

[5] Simoes M G, Franceschetti N N, Friedhofer M. Fuzzy logic based photovoltaic peak power tracking control. Proc IEEE Conf International Symposium on Industrial Electronics , Pretoria, 1998: 300～305.

DOI: 10.1109/isie.1998.707796

Google Scholar

[6] Senjyu T, Uezato K. Maximum power point tracker using fuzzy control for photovoltaic arrays. IEEE International Conference on Industrial Technology, 1994: 143～147.

DOI: 10.1109/icit.1994.467196

Google Scholar

[7] Hohm D P, Ropp M E. Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed. IEEE 28th Photovoltaic Specialists Conference, Anchorage, 2000: 1699～1702.

DOI: 10.1109/pvsc.2000.916230

Google Scholar