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Optimal shared mobility planning for electric vehicles in the distribution network.

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Bibliographic Details
Title: Optimal shared mobility planning for electric vehicles in the distribution network.
Authors: Vivienne Hui Fan, Shu Wang, Ke Meng, Zhao Yang Dong
Source: IET Generation, Transmission & Distribution (Wiley-Blackwell); 2019, Vol. 13 Issue 11, p2257-2267, 11p, 3 Diagrams, 4 Charts, 4 Graphs
Subject Terms: ELECTRIC vehicles, ELECTRIC vehicle charging stations, TRAFFIC assignment, OPERATING costs, EVOLUTIONARY algorithms
Abstract: Shared electric vehicle (EV) is an emerging component across interdependent power and transportation networks that affect economic, environmental and societal benefits. Studies on how to collaboratively enable the optimal planning of these interacted networks is less explored. In this work, a joint distribution network expansion planning framework integrated with a shared EV charging station is proposed. One of the objectives is to minimise overall investment cost considering operational waiting cost of shared EV charging service and power loss, while the other aims to maximise the utilisation of charging infrastructures. To overcome the difficulties in solving the multi-objective mixed-integer non-linear problem, Tchebycheff decomposition based evolutionary algorithm is modified to find the Pareto front showing the trade-offs between goals above. Besides, stochastic traffic assignment model is used to obtain traffic distribution and travel demand. The final optimal solution is decided by the fuzzy satisficing method. The performance of the proposed approach is evaluated on a 54-node test system. Sensitivity analysis is performed to assess the impact of key parameters from the perspectives of transportation and distribution network sectors. The numerical results demonstrate the capability and feasibility of the proposed method. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:Shared electric vehicle (EV) is an emerging component across interdependent power and transportation networks that affect economic, environmental and societal benefits. Studies on how to collaboratively enable the optimal planning of these interacted networks is less explored. In this work, a joint distribution network expansion planning framework integrated with a shared EV charging station is proposed. One of the objectives is to minimise overall investment cost considering operational waiting cost of shared EV charging service and power loss, while the other aims to maximise the utilisation of charging infrastructures. To overcome the difficulties in solving the multi-objective mixed-integer non-linear problem, Tchebycheff decomposition based evolutionary algorithm is modified to find the Pareto front showing the trade-offs between goals above. Besides, stochastic traffic assignment model is used to obtain traffic distribution and travel demand. The final optimal solution is decided by the fuzzy satisficing method. The performance of the proposed approach is evaluated on a 54-node test system. Sensitivity analysis is performed to assess the impact of key parameters from the perspectives of transportation and distribution network sectors. The numerical results demonstrate the capability and feasibility of the proposed method. [ABSTRACT FROM AUTHOR]
ISSN:17518687
DOI:10.1049/iet-gtd.2018.6900