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MPPT Control Strategy of PV Based on Improved Shuffled Frog Leaping Algorithm under Complex Environments
Joint Authors
Source
Journal of Control Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
This work presents a maximum power point tracking (MPPT) based on the particle swarm optimization (PSO) improved shuffled frog leaping algorithm (PSFLA).
The swarm intelligence algorithm (SIA) has vast computing ability.
The MPPT control strategies of PV array based on SIA are attracting considerable interests.
Firstly, the PSFLA was proposed by adding the inertia weight factor w of PSO in standard SFLA to overcome the defect of falling into the partial optimal solutions and slow convergence speed.
The proposed PSFLA algorithm increased calculation speed and excellent global search capability of MPPT.
Then, the PSFLA was applied to MPPT to solve the multiple extreme point problems of nonlinear optimization.
Secondly, for the problems of MPPT under complex environments, a new MPPT strategy of the PSFLA combined with recursive least square filtering was proposed to overcome the measurement noise effects on MPPT accuracy.
Finally, the simulation comparisons between PSFLA and SFLA algorithm were developed.
The experiment and comparison between PSLFA and PSO algorithm under complex environment were executed.
The simulation and experiment results indicate that the proposed MPPT control strategy based on PSFLA can suppress the measurement noise effects effectively and improve the PV array efficiency.
American Psychological Association (APA)
Nie, Xiaohua& Nie, Haoyao. 2017. MPPT Control Strategy of PV Based on Improved Shuffled Frog Leaping Algorithm under Complex Environments. Journal of Control Science and Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1173408
Modern Language Association (MLA)
Nie, Xiaohua& Nie, Haoyao. MPPT Control Strategy of PV Based on Improved Shuffled Frog Leaping Algorithm under Complex Environments. Journal of Control Science and Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1173408
American Medical Association (AMA)
Nie, Xiaohua& Nie, Haoyao. MPPT Control Strategy of PV Based on Improved Shuffled Frog Leaping Algorithm under Complex Environments. Journal of Control Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1173408
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173408