A Hierarchical Scheduling Strategy for Electric Vehicles under Dynamic Time-of-use Tariff Mechanism

doi:10.3969/j.issn.1000-7229.2018.12.009

Abstract

Abstract: Uncoordinated charging of numerous electric vehicles （EVs） imposes significant negative impacts on the secure and economic operation of the power system concerned. Given this background, a hierarchical scheduling strategy for EVs in a dynamic time-of-use （TOU） tariff environment is proposed with objectives of mitigating load fluctuation and enhancing the local accommodation capability for photovoltaic （PV） power outputs. The charging/discharging schedules are first optimized by EV owners/users, and then adjusted by the local EV dispatcher as final schedules. Specifically, an EV charging/discharging optimization model is first built with objectives of minimizing the charging cost and maximizing the discharging profit. Then, a dispatching model is presented for the local EV operator to enhance the local accommodation capability for PV power outputs. On the basis of the dispatching result of the local EV dispatcher and the on-line updated load profile in the distribution system concerned, a dynamic TOU tariff updating strategy is presented. Finally, On the basis of the EV arrival time, departure time and charging demands generated by the well-established Monte Carlo simulation method, a distribution system with 3 residential communities is employed to demonstrate the effectiveness of the proposed method.

Key words: electric vehicle （EV）, hierarchical scheduling, dynamic time-of-use tariff, EV dispatcher, accommodation capability of photovoltaic （PV） output

CLC Number:

TM 730

ZHANG Xizhu1, LIU Xunyuan2, YANG Wentao, WEN Fushuan, MENG Kai, LIU Hong, ZHANG Manying, HU Zhecheng, LIU Zhaoyu. A Hierarchical Scheduling Strategy for Electric Vehicles under Dynamic Time-of-use Tariff Mechanism[J]. Electric Power Construction, 2018, 39(12): 73-80.

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