eprintid: 18670
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/86/70
datestamp: 2024-06-04 14:11:01
lastmod: 2024-06-04 14:11:01
status_changed: 2024-06-04 14:03:50
type: article
metadata_visibility: show
creators_name: Ibrahim, O.
creators_name: Bakare, M.S.
creators_name: Amosa, T.I.
creators_name: Otuoze, A.O.
creators_name: Owonikoko, W.O.
creators_name: Ali, E.M.
creators_name: Adesina, L.M.
creators_name: Ogunbiyi, O.
title: Development of fuzzy logic-based demand-side energy management system for hybrid energy sources
ispublished: pub
keywords: Battery management systems; Charging (batteries); Computer circuits; Cost reduction; Demand side management; Dynamic loads; Fuzzy logic; Secondary batteries; Solar power generation; Stochastic systems, Battery systems; Cost of energies; Demand side energy managements; Energy cost; Energy management controller; Fuzzy-Logic; Levelized cost of energy; Levelized costs; Management controller; Solar photovoltaics, Energy management systems
note: cited By 27
abstract: Demand-side energy management techniques, such as load shielding, shifting, and delaying appliance operation during peak periods, are typically used to reduce electricity costs at the expense of users� comfort. To address these challenges, especially where operational delays are unacceptable, distributed generation (DG) is frequently incorporated into the grid system to improve power balance and total energy costs. However, dynamic load demands and varying outputs from renewable DG sources such as solar photovoltaic (PV) systems make energy management in microgrids (MGs) extremely challenging. Moreover, most of the existing studies in this domain focus on objective functions that are geared on optimising the economic balance between cost and value of MG operation over a certain time period. Nevertheless, research that took into consideration the stochastic behaviour of DG's subsystems in addition to cost and benefit of MG operation are still limited. This current study proposed a fuzzy logic control (FLC) integrated energy management system (EMS) for commercial loads with hybrid grid-solar PV/battery energy system. The proposed technique intelligently selects energy sources using the grid energy cost and the state of charge (SoC) of the solar PV/battery at any time of the day. The EMS operate the loads at a reduced cost without any operational delay or shifting. The system was implemented in the MATLAB/Simulink environment, and the techno-economic feasibility of energy cost savings was investigated by comparing the developed scheme with the Homer hybrid energy system model for a hotel building. The developed EMS reduced energy costs by an average of 11.87  per day and 7.94  over a 20-year lifetime. © 2023 The Author(s)
date: 2023
publisher: Elsevier Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150296608&doi=10.1016%2fj.ecmx.2023.100354&partnerID=40&md5=62a0deaef2b8d2c4e82196106fd7f306
id_number: 10.1016/j.ecmx.2023.100354
full_text_status: none
publication: Energy Conversion and Management: X
volume: 18
refereed: TRUE
issn: 25901745
citation:   Ibrahim, O. and Bakare, M.S. and Amosa, T.I. and Otuoze, A.O. and Owonikoko, W.O. and Ali, E.M. and Adesina, L.M. and Ogunbiyi, O.  (2023) Development of fuzzy logic-based demand-side energy management system for hybrid energy sources.  Energy Conversion and Management: X, 18.   ISSN 25901745