Publication:
Energy management system for PV-battery microgrid based on model predictive control

Simple item page
dc.citedby25
dc.contributor.authorBasir Khan M.R.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorAl-Fattah J.en_US
dc.contributor.authorTahmasebi M.en_US
dc.contributor.authorid55812128900en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid57190137793en_US
dc.contributor.authorid55945605900en_US
dc.date.accessioned2023-05-29T07:25:10Z
dc.date.available2023-05-29T07:25:10Z
dc.date.issued2019
dc.description.abstractThere had been increase of the usage of renewable energy sources to supply electricity in remote areas. However, microgrid consists of renewable sources such as solar Photovoltaic (PV) poses challenges for a reliable energy supply due to its intermittent nature. This paper presents a microgrid model with Energy Management System based on Model Predictive Control (MPC). The microgrid comprises of PV, and battery storage system. The goal of the EMS is to deliver a reliable and optimal generation from multiple sources in the microgrid. Moreover, the MPC will also provide controls for the battery charging for a smooth PV output. The model simulated based on actual load profile and renewable resource such as solar radiation. Several disturbances such as variation of load, generation and PV shading has been simulated to measure the performance of the EMS. The results illustrate the system ability to exhibits robust performance in variety of conditions. � 2019 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v15.i1.pp20-26
dc.identifier.epage26
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85065984829
dc.identifier.spage20
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85065984829&doi=10.11591%2fijeecs.v15.i1.pp20-26&partnerID=40&md5=cf23f73ebe1ece4b2d735871c86b7545
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24618
dc.identifier.volume15
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleEnergy management system for PV-battery microgrid based on model predictive controlen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS