Temporal and Spatial Stochastic Distribution Characteristics of Charging Loads of Electric Taxis

doi:10.3969/j.issn.1000－7229.2017.01.002

Abstract

Abstract:

With the development of electric vehicles (EVs), the temporal and spatial stochastic distribution characteristics of EV charging are imposing challenges for power system secure and economic operation. Given this background, this paper proposes a systematical method for analyzing the charging load of electric taxis considering the temporal and the spatial stochastic distribution characteristics. First, driving patterns of electric taxis are discussed on account of typical passenger trip characteristics and the influences of two charging operation modes, i.e. fast charging and battery swapping. Then, the urban area of a given city is divided into several traffic zones by road map grid divisions, and the corresponding geographical coordinates are thus determined. Based on the grid-based traffic network, mathematical models for describing the driving, destination and path selection of electric taxis and charging/swapping behaviors are next presented, and the Monte Carlo simulation method is employed for attaining the solution. Finally, the operation scenarios of electric taxis in Hangzhou city are employed to demonstrate the essential features of the proposed method; specifically, the daily charging loads of electric taxis are investigated, and the impacts of two charging operation modes on the temporal and spatial distribution characteristics of electric taxi charging loads are compared.

Key words: electric vehicle（EV）, electric taxi, charging operation mode, fast charging, battery swapping, charging load, temporal and spatial distribution, traffic zone

CLC Number:

LIAO Binjie, YANG Jun, WEN Fushuan, LI Bo3, LI Liang, MAO Jianwei. Temporal and Spatial Stochastic Distribution Characteristics of Charging Loads of Electric Taxis[J]. Electric Power Construction, 2017, 38(1): 8-.

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