Energy management system for PV-battery microgrid based on model predictive control
There 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...
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2023
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my.uniten.dspace-246182023-05-29T15:25:10Z Energy management system for PV-battery microgrid based on model predictive control Basir Khan M.R. Pasupuleti J. Al-Fattah J. Tahmasebi M. 55812128900 11340187300 57190137793 55945605900 There 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. Final 2023-05-29T07:25:10Z 2023-05-29T07:25:10Z 2019 Article 10.11591/ijeecs.v15.i1.pp20-26 2-s2.0-85065984829 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065984829&doi=10.11591%2fijeecs.v15.i1.pp20-26&partnerID=40&md5=cf23f73ebe1ece4b2d735871c86b7545 https://irepository.uniten.edu.my/handle/123456789/24618 15 1 20 26 Institute of Advanced Engineering and Science Scopus |
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There 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. |
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55812128900 Basir Khan M.R. Pasupuleti J. Al-Fattah J. Tahmasebi M. |
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Basir Khan M.R. Pasupuleti J. Al-Fattah J. Tahmasebi M. |
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Basir Khan M.R. Pasupuleti J. Al-Fattah J. Tahmasebi M. Energy management system for PV-battery microgrid based on model predictive control |
author_sort |
Basir Khan M.R. |
title |
Energy management system for PV-battery microgrid based on model predictive control |
title_short |
Energy management system for PV-battery microgrid based on model predictive control |
title_full |
Energy management system for PV-battery microgrid based on model predictive control |
title_fullStr |
Energy management system for PV-battery microgrid based on model predictive control |
title_full_unstemmed |
Energy management system for PV-battery microgrid based on model predictive control |
title_sort |
energy management system for pv-battery microgrid based on model predictive control |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2023 |
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1806424037191057408 |
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13.214268 |