LAPSE:2023.10275
Published Article

LAPSE:2023.10275
Performance Enhancement of an Islanded Microgrid with the Support of Electrical Vehicle and STATCOM Systems
February 27, 2023
Abstract
Modern electrical power systems now require the spread of microgrids (MG), where they would be operating in either islanded mode or grid-connected mode. An inherent mismatch between loads and sources is introduced by changeable high renewable share in an islanded MG system with stochastic load demands. The system frequency is directly impacted by this mismatch, which can be alleviated by incorporating cutting-edge energy storage technologies and FACTS tools. The investigated islanded MG system components are wind farm, solar PV, Electric vehicles (EVs), loads, DSTATCOM, and diesel power generator. An aggregated EVs model is connected to the MG during uncertain periods of the generation of renewable energy (PV and wind) to support the performance of MGs. The ability to support ancillary services from the EVs is checked. DSTATCOM is used to provide voltage stability for the MG during congestion situations. The MG is studied in three scenarios: the first scenario MG without EVs and DSTATCOM, the second scenario MG without DSTATCOM, and the third scenario MG with all components. These scenarios are addressed to show the role of EVs and DSTATCOM, and the results in the third scenario are the best. The system voltage and frequency profile is the best in the last scenario and is entirely satisfactory and under the range of the IEEE standard. The obtained results show that both EVs and DSTATCOM are important units for improving the stability of modern power grids. The Matlab/Simulink program is considered for checking and validating the dynamic performance of the proposed configuration.
Modern electrical power systems now require the spread of microgrids (MG), where they would be operating in either islanded mode or grid-connected mode. An inherent mismatch between loads and sources is introduced by changeable high renewable share in an islanded MG system with stochastic load demands. The system frequency is directly impacted by this mismatch, which can be alleviated by incorporating cutting-edge energy storage technologies and FACTS tools. The investigated islanded MG system components are wind farm, solar PV, Electric vehicles (EVs), loads, DSTATCOM, and diesel power generator. An aggregated EVs model is connected to the MG during uncertain periods of the generation of renewable energy (PV and wind) to support the performance of MGs. The ability to support ancillary services from the EVs is checked. DSTATCOM is used to provide voltage stability for the MG during congestion situations. The MG is studied in three scenarios: the first scenario MG without EVs and DSTATCOM, the second scenario MG without DSTATCOM, and the third scenario MG with all components. These scenarios are addressed to show the role of EVs and DSTATCOM, and the results in the third scenario are the best. The system voltage and frequency profile is the best in the last scenario and is entirely satisfactory and under the range of the IEEE standard. The obtained results show that both EVs and DSTATCOM are important units for improving the stability of modern power grids. The Matlab/Simulink program is considered for checking and validating the dynamic performance of the proposed configuration.
Record ID
Keywords
DSTATCOM, electric vehicles (EVs), frequency stability, microgrid (MG), renewable sources
Subject
Suggested Citation
Kamel OM, Diab AAZ, Mahmoud MM, Al-Sumaiti AS, Sultan HM. Performance Enhancement of an Islanded Microgrid with the Support of Electrical Vehicle and STATCOM Systems. (2023). LAPSE:2023.10275
Author Affiliations
Kamel OM: Electrical and Computer Department, Higher Institute of Engineering and Technology New El Minia, Minia 61111, Egypt [ORCID]
Diab AAZ: Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61517, Egypt [ORCID]
Mahmoud MM: Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt [ORCID]
Al-Sumaiti AS: Department of Electrical Engineering and Computer Science, Advanced Power and Energy Center, Khalifa University, Abu Dhabi 127788, United Arab Emirates [ORCID]
Sultan HM: Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61517, Egypt [ORCID]
Diab AAZ: Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61517, Egypt [ORCID]
Mahmoud MM: Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt [ORCID]
Al-Sumaiti AS: Department of Electrical Engineering and Computer Science, Advanced Power and Energy Center, Khalifa University, Abu Dhabi 127788, United Arab Emirates [ORCID]
Sultan HM: Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61517, Egypt [ORCID]
Journal Name
Energies
Volume
16
Issue
4
First Page
1577
Year
2023
Publication Date
2023-02-04
ISSN
1996-1073
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Original Submission
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PII: en16041577, Publication Type: Journal Article
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LAPSE:2023.10275
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https://doi.org/10.3390/en16041577
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Feb 27, 2023
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