Adetunji, KEHofsajer, IMAbu-Mahfouz, Adnan MICheng, L2021-05-252021-05-252021-06Adetunji, 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 .978-1-6654-0345-0978-1-6654-4788-1DOI:10.1109/SAUPEC/RobMech/PRASA52254.2021.9377012http://hdl.handle.net/10204/12020The 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.AbstractenElectric vehiclesEnergy managementEnergy schedulingHybrid metaheuristic algorithmsPower loss minimizationSmart gridsConference PresentationAdetunji, 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/10204/12020Adetunji, 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/10204/12020Adetunji 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 .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 -24545