eprintid: 11064
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/10/64
datestamp: 2023-11-10 03:25:37
lastmod: 2023-11-10 03:25:37
status_changed: 2023-11-10 01:14:26
type: article
metadata_visibility: show
creators_name: Ibrahim, A.E.
creators_name: Nor, N.M.
creators_name: Nawi, I.B.M.
creators_name: Romlie, M.F.
creators_name: Hasan, K.N.M.
title: Genetic algorithm to improve power output of photovoltaic system under partial shaded condition
ispublished: pub
note: cited By 8
abstract: The Partial Shaded Condition (PSC) is a process of non-optimal power capture in photovoltaic (PV) system; it will happen when one or all the PV solar cells get shaded by external factors. This phenomenon makes a sudden change in cell irradiance and lead to non-optimal power capture and reduces the generated power in PV systems. Cell under PSC generates one global peak (GP) and many local peaks (LPs), but the tracking of GP under (PSCs) effectively are still a big challenge to the researchers. In this paper, Fuzzy Logic Control (FLC) and optimized FLC algorithms were developed to track the PV power during the PSCs. The configuration of both algorithms are designed, simulated and evaluated using MATLAB/Simulink and their performance was compared with other literature techniques to study their capability to track the MPPT under PSCs. Proposed GA-FLC achieved 0.7 S as tracking time to find and track the Global Peak of Maximum power Point (GMPP) under PSCs and the usage of buck/boost converter in this technique achieved 98.5 of tracking accuracy. GA-FLC shows good dynamic performance in terms of tracking accuracy and complexity under PSCs compared to other techniques. © 2019 Institute of Advanced Engineering and Science. All rights reserved.
date: 2019
publisher: Institute of Advanced Engineering and Science
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071300839&doi=10.11591%2fijpeds.v10.i4.pp2182-2189&partnerID=40&md5=e38992a3d98af67c3d3d86632ad90307
id_number: 10.11591/ijpeds.v10.i4.pp2182-2189
full_text_status: none
publication: International Journal of Power Electronics and Drive Systems
volume: 10
number: 4
pagerange: 2182-2189
refereed: TRUE
issn: 20888694
citation:   Ibrahim, A.E. and Nor, N.M. and Nawi, I.B.M. and Romlie, M.F. and Hasan, K.N.M.  (2019) Genetic algorithm to improve power output of photovoltaic system under partial shaded condition.  International Journal of Power Electronics and Drive Systems, 10 (4).  pp. 2182-2189.  ISSN 20888694