dc.contributor.author |
Adetunji, KE
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|
dc.contributor.author |
Hofsajer, IM
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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|
dc.contributor.author |
Cheng, L
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dc.date.accessioned |
2021-05-25T17:36:06Z |
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dc.date.available |
2021-05-25T17:36:06Z |
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dc.date.issued |
2021-06 |
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dc.identifier.citation |
Adetunji, K., Hofsajer, I., Abu-Mahfouz, A.M. & Cheng, L. 2021. Miscellaneous energy profile management scheme for optimal integration of electric vehicles in a distribution network considering renewable energy sources. http://hdl.handle.net/10204/12020 . |
en_ZA |
dc.identifier.isbn |
978-1-6654-0345-0 |
|
dc.identifier.isbn |
978-1-6654-4788-1 |
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dc.identifier.uri |
DOI:10.1109/SAUPEC/RobMech/PRASA52254.2021.9377012
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/12020
|
|
dc.description.abstract |
The integration of renewable energy and electric vehicles in smart grids aims to improve the grid network and reduce carbon emissions. In this regard, this study presents a new Energy Management Scheme (EMS) for the optimal charging and discharging of electric vehicles in a photovoltaic-present distribution network based on the availability of solar energy and power from the grid. For effective scheduling, the model splits a distribution network into residential and commercial areas, which are handled separately by two Electric Vehicle (EV) aggregators. A newly developed hybrid algorithm, named Chaotic Whale optimization Algorithm and Gravitational Search Algorithm (CWOAGSA), is integrated into a multiobjective framework to simultaneously minimize power loss, improve voltage stability, and reduce carbon emissions. Simulation results show that the proposed model can inject real power at a 60% EV penetration level without destabilizing the distribution network. The comparison of the CWOAGSA to the WOA, PSO, and GA shows a better minimization of real power loss. The CWOAGSA minimizes the total real power network losses with a 55% margin from the increased power loss due to the uncoordinated scheduling, and a 7% margin to the WOA. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/9377012 |
en_US |
dc.source |
Southern African Universities Power Engineering Conference, Potchefstroom, South Africa, 27-29 January 2021 |
en_US |
dc.subject |
Electric vehicles |
en_US |
dc.subject |
Energy management |
en_US |
dc.subject |
Energy scheduling |
en_US |
dc.subject |
Hybrid metaheuristic algorithms |
en_US |
dc.subject |
Power loss minimization |
en_US |
dc.subject |
Smart grids |
en_US |
dc.title |
Miscellaneous energy profile management scheme for optimal integration of electric vehicles in a distribution network considering renewable energy sources |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
6 |
en_US |
dc.description.note |
Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website: DOI:10.1109/SAUPEC/RobMech/PRASA52254.2021.9377012 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
|
dc.description.impactarea |
EDTRC Management |
en_US |
dc.identifier.apacitation |
Adetunji, K., Hofsajer, I., Abu-Mahfouz, A. M., & Cheng, L. (2021). Miscellaneous energy profile management scheme for optimal integration of electric vehicles in a distribution network considering renewable energy sources. http://hdl.handle.net/10204/12020 |
en_ZA |
dc.identifier.chicagocitation |
Adetunji, KE, IM Hofsajer, Adnan MI Abu-Mahfouz, and L Cheng. "Miscellaneous energy profile management scheme for optimal integration of electric vehicles in a distribution network considering renewable energy sources." <i>Southern African Universities Power Engineering Conference, Potchefstroom, South Africa, 27-29 January 2021</i> (2021): http://hdl.handle.net/10204/12020 |
en_ZA |
dc.identifier.vancouvercitation |
Adetunji K, Hofsajer I, Abu-Mahfouz AM, Cheng L, Miscellaneous energy profile management scheme for optimal integration of electric vehicles in a distribution network considering renewable energy sources; 2021. http://hdl.handle.net/10204/12020 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Adetunji, KE
AU - Hofsajer, IM
AU - Abu-Mahfouz, Adnan MI
AU - Cheng, L
AB - The integration of renewable energy and electric vehicles in smart grids aims to improve the grid network and reduce carbon emissions. In this regard, this study presents a new Energy Management Scheme (EMS) for the optimal charging and discharging of electric vehicles in a photovoltaic-present distribution network based on the availability of solar energy and power from the grid. For effective scheduling, the model splits a distribution network into residential and commercial areas, which are handled separately by two Electric Vehicle (EV) aggregators. A newly developed hybrid algorithm, named Chaotic Whale optimization Algorithm and Gravitational Search Algorithm (CWOAGSA), is integrated into a multiobjective framework to simultaneously minimize power loss, improve voltage stability, and reduce carbon emissions. Simulation results show that the proposed model can inject real power at a 60% EV penetration level without destabilizing the distribution network. The comparison of the CWOAGSA to the WOA, PSO, and GA shows a better minimization of real power loss. The CWOAGSA minimizes the total real power network losses with a 55% margin from the increased power loss due to the uncoordinated scheduling, and a 7% margin to the WOA.
DA - 2021-06
DB - ResearchSpace
DP - CSIR
J1 - Southern African Universities Power Engineering Conference, Potchefstroom, South Africa, 27-29 January 2021
KW - Electric vehicles
KW - Energy management
KW - Energy scheduling
KW - Hybrid metaheuristic algorithms
KW - Power loss minimization
KW - Smart grids
LK - https://researchspace.csir.co.za
PY - 2021
SM - 978-1-6654-0345-0
SM - 978-1-6654-4788-1
T1 - Miscellaneous energy profile management scheme for optimal integration of electric vehicles in a distribution network considering renewable energy sources
TI - Miscellaneous energy profile management scheme for optimal integration of electric vehicles in a distribution network considering renewable energy sources
UR - http://hdl.handle.net/10204/12020
ER - |
en_ZA |
dc.identifier.worklist |
24545 |
en_US |