Joint optimization of electric bus charging and energy storage system scheduling
Artikel i vetenskaplig tidskrift, 2024

The widespread use of energy storage systems in electric bus transit centers presents new opportunities and challenges for bus charging and transit center energy management. A unified optimization model is proposed to jointly optimize the bus charging plan and energy storage system power profile. The model optimizes overall costs by considering battery aging, time-of-use tariffs, and capacity service charges. The model is linearized by a series of relaxations of the nonlinear constraints. This means that we can obtain the exact solution of the model quickly with a commercial solver that is fully adapted to the time scale of day-ahead scheduling. The numerical simulations demonstrate that the proposed method can optimize the bus charging time, charging power, and power profile of energy storage systems in seconds. Monte Carlo simulations reveal that the proposed method significantly reduces the cost and has sufficient robustness to uncertain fluctuations in photovoltaics and office loads.

energy storage

electric vehicle

mixed integer nonlinear programming

public transit

Monte Carlo simulations


Lingshu Zhong

Sun Yat-Sen University

Ziling Zeng

Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik

Zikang Huang

South China University of Technology

Xiaowei Shi

College of Engineering & Applied Science

Yiming Bie

Jilin University

Frontiers of Engineering Management

20957513 (ISSN) 20960255 (eISSN)

Vol. In Press




Annan elektroteknik och elektronik



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