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Optimal location and sizing of electric vehicles charging stations and renewable sources in a coupled transportation-power distribution network

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  • Nareshkumar, Kutikuppala
  • Das, Debapriya

Abstract

The rapid growth of electric vehicles (EVs) and renewable distributed generators (DGs), which support net-zero emissions, poses technical challenges to the planning of transportation (TN) and distribution (DN) networks. This work proposes a two-stage strategy for the optimal planning of EV charging stations (EVCS) and DGs in a coupled TN-DN. In the first stage, a fuzzy max–min framework embedded particle swarm optimization and an EV waiting time constraint-encapsulated M/M/S queuing theory are used to obtain the optimal locations and sizes of EVCS. The objectives considered in this stage are maximizing EVCS operator profit and minimizing the costs of EV users and DN operator (DNO). In the second stage, a distribution system integrated with EVCS is used to find suitable sites and capacities for renewable DGs. A sensitivity analysis is carried out to identify the ideal locations of renewable DGs, and an exhaustive search-based analytical method is used to determine their sizes. Moreover, in this stage, a cost–benefit analysis is performed to assess the economic viability of planning renewable DGs. To address the uncertainties associated with EVs and renewable sources, Hong’s 2m+1 point estimation method is used. The efficacy of the suggested approach is tested on a coupled 28-node TN and a 69-node grid-connected DN. The findings reveal that the EVCS and DN operators will achieve an average incremental profit of 21.80% and 42.03%, respectively, while meeting all the system constraints. Further, the DNO gains an additional revenue of 20.17% by adopting distribution network reconfiguration.

Suggested Citation

  • Nareshkumar, Kutikuppala & Das, Debapriya, 2024. "Optimal location and sizing of electric vehicles charging stations and renewable sources in a coupled transportation-power distribution network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:rensus:v:203:y:2024:i:c:s1364032124004933
    DOI: 10.1016/j.rser.2024.114767
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    References listed on IDEAS

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    1. Hossain, Md Alamgir & Pota, Hemanshu Roy & Squartini, Stefano & Abdou, Ahmed Fathi, 2019. "Modified PSO algorithm for real-time energy management in grid-connected microgrids," Renewable Energy, Elsevier, vol. 136(C), pages 746-757.
    2. Kayal, Partha & Chanda, C.K., 2015. "Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network," Renewable Energy, Elsevier, vol. 75(C), pages 173-186.
    3. Sun, Siyang & Yang, Qiang & Ma, Jin & Ferré, Adrià Junyent & Yan, Wenjun, 2020. "Hierarchical planning of PEV charging facilities and DGs under transportation-power network couplings," Renewable Energy, Elsevier, vol. 150(C), pages 356-369.
    4. Das, Sangeeta & Das, Debapriya & Patra, Amit, 2017. "Reconfiguration of distribution networks with optimal placement of distributed generations in the presence of remote voltage controlled bus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 772-781.
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