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Performance of gradient-based optimizer on charging station placement problem
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Houssein, Essam H., Deb, Sanchari, Oliva, Diego, Rezk, Hegazy, Alhumade, Hesham and Said, Mokhtar (2021) Performance of gradient-based optimizer on charging station placement problem. Mathematics, 9 (21). 2821. doi:10.3390/math9212821 ISSN 2227-7390.
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Official URL: http://dx.doi.org/10.3390/math9212821
Abstract
The electrification of transportation is necessary due to the expanded fuel cost and change in climate. The management of charging stations and their easy accessibility are the main concerns for receipting and accepting Electric Vehicles (EVs). The distribution network reliability, voltage stability and power loss are the main factors in designing the optimum placement and management strategy of a charging station. The planning of a charging stations is a complicated problem involving roads and power grids. The Gradient-based optimizer (GBO) used for solving the charger placement problem is tested in this work. A good balance between exploitation and exploration is achieved by the GBO. Furthermore, the likelihood of becoming stuck in premature convergence and local optima is rare in a GBO. Simulation results establish the efficacy and robustness of the GBO in solving the charger placement problem as compared to other metaheuristics such as a genetic algorithm, differential evaluation and practical swarm optimizer.
| Item Type: | Journal Article | ||||||
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| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
| Library of Congress Subject Headings (LCSH): | Electric vehicles , Battery charging stations (Electric vehicles) , Battery charging stations (Electric vehicles) -- Design and construction , Battery charging stations (Electric vehicles) -- Installation, Battery charging stations (Electric vehicles) -- Installation -- Mathematical models, Heuristic algorithms, Metaheuristics, Swarm intelligence | ||||||
| Journal or Publication Title: | Mathematics | ||||||
| Publisher: | MDPI | ||||||
| ISSN: | 2227-7390 | ||||||
| Official Date: | 6 November 2021 | ||||||
| Dates: |
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| Volume: | 9 | ||||||
| Number: | 21 | ||||||
| Article Number: | 2821 | ||||||
| DOI: | 10.3390/math9212821 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 24 November 2021 | ||||||
| Date of first compliant Open Access: | 25 November 2021 | ||||||
| RIOXX Funder/Project Grant: |
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