A two-stage stochastic programming model of locating fast chargers at stops for battery electric buses
Publication Name
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Abstract
With the development of charging technology, chargers with dropped price and increased charging power make fast charging more applicable and competitive to provide efficient and effective charging solution to electric vehicles. Compared to normal chargers, fast chargers can top up battery in a short time, which enables battery electric buses to get top-up charging at selected bus stops when the buses load and unload passengers. Such en-route charging solution can avoid deadhead trips during daily operation and further reduce energy consumption due to smaller size of battery required. In this paper, we develop a two-stage stochastic programming model to locate fast chargers at selected bus stops considering uncertainties of passenger demand and energy consumption during bus operation. A modified L-shaped method is proposed to solve the challenging problem since its size grows expo-nentially with the increasing number of scenarios. Numerical results show that the en-route top-up charging time keeps in line with passengers' boarding and alighting time at intermediate stops when the bus loads and unloads passengers, which causes negligible passengers' extra waiting time and corresponding penalty cost caused by charging activities. The modified L-shaped method is further compared to the commercial solver Gurobi with better performance and higher efficiency.
Open Access Status
This publication is not available as open access
Volume
2022-October
First Page
3679
Last Page
3684
Funding Number
2021YJ0536
Funding Sponsor
Department of Science and Technology of Sichuan Province