Artificial Fish Swarm Algorithm Based-Maximum Power Generation for Grid-Connected PV Panels

Mao, M, Zhang, L, Musembi, M et al. (2 more authors) (2018) Artificial Fish Swarm Algorithm Based-Maximum Power Generation for Grid-Connected PV Panels. In: 2017 UKSim-AMSS 19th International Conference on Modelling & Simulation. UKSim 2017, 05-07 Apr 2017, Cambridge, UK. Institute of Electrical and Electronics Engineers (IEEE) , pp. 149-154. ISBN 978-1-5386-2735-8

Abstract

Metadata

Authors/Creators:
  • Mao, M
  • Zhang, L
  • Musembi, M
  • Chong, B
  • Duan, Q
Copyright, Publisher and Additional Information: © IEEE 2017. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: PV system; grid connection; ANPC; MAFSA; MPPT
Dates:
  • Accepted: 19 March 2017
  • Published: 17 May 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Apr 2017 09:46
Last Modified: 13 Jul 2018 13:13
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/UKSim.2017.13

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