Performance of Gradient-Based Optimizer on Charging Station Placement Problem; Mathematics; Vol. 9, iss. 21

Detaylı Bibliyografya
Parent link:Mathematics
Vol. 9, iss. 21.— 2021.— [2821, 16 p.]
Müşterek Yazar: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Diğer Yazarlar: Essam H. Houssein, Sanchari D. Deb, Oliva Navarro D. A. Diego Alberto, Hegazy R. Rezk, Hesham A. Alhumade, Mokhtar S. Said
Özet:Title screen
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.
Dil:İngilizce
Baskı/Yayın Bilgisi: 2021
Konular:
Online Erişim:https://doi.org/10.3390/math9212821
Materyal Türü: Elektronik Kitap Bölümü
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=666027

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