Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer
In this manuscript proposes a hybrid approach for locating and sizing Electric vehicle charging stations (EVCSs) optimally and managing the vehicle charging process. The proposed hybrid approach is to work in conjunction with Mexican Axolotl optimization (MAO) and Wild Horse Optimizer (WHO) hence it...
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9777988/ |
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| author | Ch. S. V. Prasad Rao A. Pandian Ch. Rami Reddy Flah Aymen Mohammed Alqarni Mosleh M. Alharthi |
| author_facet | Ch. S. V. Prasad Rao A. Pandian Ch. Rami Reddy Flah Aymen Mohammed Alqarni Mosleh M. Alharthi |
| author_sort | Ch. S. V. Prasad Rao |
| collection | DOAJ |
| description | In this manuscript proposes a hybrid approach for locating and sizing Electric vehicle charging stations (EVCSs) optimally and managing the vehicle charging process. The proposed hybrid approach is to work in conjunction with Mexican Axolotl optimization (MAO) and Wild Horse Optimizer (WHO) hence it is named as MAOWHO approach. The major purposes of the proposed approach are to site and size of the electric vehicle parking lot (EVPL) and to improve the benefit of EVPL for the participation of the reserve market. In addition, power loss and voltage fluctuations occur due to the stochastic nature of renewable energy sources (RES) and electric vehicles (EV) demand load, which is reduced by the proposed approach. To optimally determine the size of the parking lot, the MAOWHO approach is adopted. The integration of the EV and PV systems, especially in parking lots, enhances the reliability and flexibility of the electrical system at critical moments. Multiple objective optimization problems are calculated to achieve objective variables to reduce power losses, voltage fluctuations, charging and supply costs, and EV costs. The location and capacity of the RES and EV charging stations in this optimization problem are objective variables. The MAOWHO approach enhances Solar Powered Electric Vehicle Parking Lot (EVSPL) participation in various energy and ancillary service markets that includes the effects of capacity payments. Besides, the implementation of MAOWHO approach is done by the MATLAB/Simulink platform and the performance of the MAOWHO approach is compared to the existing approaches. From the simulation outcome, it concludes that the proposed approach based performance provides a profit of 880 €compared to other approaches like SMO, CGO, SBLA. |
| first_indexed | 2024-12-11T18:33:23Z |
| format | Article |
| id | doaj.art-4d81635c21a644e99f4807ae205656df |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-11T18:33:23Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4d81635c21a644e99f4807ae205656df2022-12-22T00:54:51ZengIEEEIEEE Access2169-35362022-01-0110554085542710.1109/ACCESS.2022.31763709777988Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse OptimizerCh. S. V. Prasad Rao0A. Pandian1https://orcid.org/0000-0003-0145-7814Ch. Rami Reddy2https://orcid.org/0000-0003-1941-0766Flah Aymen3https://orcid.org/0000-0002-3463-6096Mohammed Alqarni4Mosleh M. Alharthi5https://orcid.org/0000-0002-0935-9998Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, IndiaDepartment of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, IndiaDepartment of Electrical and Electronics Engineering, Malla Reddy Engineering College (Autonomous), Secunderabad, Telangana, IndiaNational Engineering School of Gabès, Processes, Energy, Environment and Electrical Systems, LR18ES34, University of Gabès, Gabès, TunisiaCollege of Engineering, University of Business and Technology (UBT), Jeddah, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi ArabiaIn this manuscript proposes a hybrid approach for locating and sizing Electric vehicle charging stations (EVCSs) optimally and managing the vehicle charging process. The proposed hybrid approach is to work in conjunction with Mexican Axolotl optimization (MAO) and Wild Horse Optimizer (WHO) hence it is named as MAOWHO approach. The major purposes of the proposed approach are to site and size of the electric vehicle parking lot (EVPL) and to improve the benefit of EVPL for the participation of the reserve market. In addition, power loss and voltage fluctuations occur due to the stochastic nature of renewable energy sources (RES) and electric vehicles (EV) demand load, which is reduced by the proposed approach. To optimally determine the size of the parking lot, the MAOWHO approach is adopted. The integration of the EV and PV systems, especially in parking lots, enhances the reliability and flexibility of the electrical system at critical moments. Multiple objective optimization problems are calculated to achieve objective variables to reduce power losses, voltage fluctuations, charging and supply costs, and EV costs. The location and capacity of the RES and EV charging stations in this optimization problem are objective variables. The MAOWHO approach enhances Solar Powered Electric Vehicle Parking Lot (EVSPL) participation in various energy and ancillary service markets that includes the effects of capacity payments. Besides, the implementation of MAOWHO approach is done by the MATLAB/Simulink platform and the performance of the MAOWHO approach is compared to the existing approaches. From the simulation outcome, it concludes that the proposed approach based performance provides a profit of 880 €compared to other approaches like SMO, CGO, SBLA.https://ieeexplore.ieee.org/document/9777988/Ancillary serviceelectric vehiclesphotovoltaic panelselectric vehicle charging stationsEV parking lotEV owners |
| spellingShingle | Ch. S. V. Prasad Rao A. Pandian Ch. Rami Reddy Flah Aymen Mohammed Alqarni Mosleh M. Alharthi Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer IEEE Access Ancillary service electric vehicles photovoltaic panels electric vehicle charging stations EV parking lot EV owners |
| title | Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer |
| title_full | Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer |
| title_fullStr | Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer |
| title_full_unstemmed | Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer |
| title_short | Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer |
| title_sort | location determination of electric vehicles parking lot with distribution system by mexican axolotl optimization and wild horse optimizer |
| topic | Ancillary service electric vehicles photovoltaic panels electric vehicle charging stations EV parking lot EV owners |
| url | https://ieeexplore.ieee.org/document/9777988/ |
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