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ASME Press Select Proceedings
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
By
ISBN:
9780791859810
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
203 T-S Fuzzy and Genetic Algorithm Control for MPPT of Solar Power Generation Systems
By
Limei Xu
,
Limei Xu
School of Electrical and Information Engineering,
Southwest University for Nationalities of China
, Chengdu, Sichuan, 610041
, China
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Shiquan Shao
Shiquan Shao
School of Electrical and Information Engineering,
Southwest University for Nationalities of China
, Chengdu, Sichuan, 610041
, China
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Page Count:
6
-
Published:2011
Citation
Xu, L, & Shao, S. "T-S Fuzzy and Genetic Algorithm Control for MPPT of Solar Power Generation Systems." International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3. Ed. Xie, Y. ASME Press, 2011.
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This paper addresses a kind of maximum power point tracking (MPPT) control for a single solar power generation systems via the genetic algorithm (GA) and T-S fuzzy-model-based approach. To draw the maximum power from a solar photovoltaic (PV) array, first, we construct a desire physics and T-S fuzzy model of the PV system. Next, GA is used to calculate the desire voltage corresponding to the MPP according the environment conditions, and then a buck converter is applied to drive the output voltage of PV array to the desire value. Finally, simulation results are given to demonstrate the performance of the proposed methods.
Abstract
Key Words
1. Introduction
2. Modelling of the Solar Power Generation System
3. Genetic Algrithm Calculate the Desire State
4. T-S Fuzzy Model
5. Results of Simulation
6. Summaries
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