4.8 Article

Coordinated charging and discharging control of electric vehicles to manage supply voltages in distribution networks: Assessing the customer benefit

期刊

APPLIED ENERGY
卷 291, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2021.116857

关键词

Electric vehicles; Quadratic program; Receding horizon; Supply voltages; Time-of-use; Vehicle-to-grid

资金

  1. Australian National University (ANU) Postgraduate Research Scholarship
  2. CSIRO Data61 PhD Scholarship

向作者/读者索取更多资源

This paper proposes a centrally coordinated EV charge-discharge scheduling method called N-EVC(D) to address the need for coordinated EV charging and discharging in distribution networks. By formulating the optimization problem as a quadratic program, N-EVC(D) can maintain power quality limits and minimize operational costs for EV customers. Numerical simulations show that N-EVC(D) significantly reduces non-compliant voltage deviations and lowers operational costs for EV customers by 92% to 111% compared to uncoordinated EV charging.
Increased worldwide uptake of Electric Vehicles (EVs) accentuates the need for developing coordinated EV charging and discharging methods that mitigate detrimental and sustained under-voltage and over-voltage conditions in distribution networks. In this paper, a centrally coordinated EV charge-discharge scheduling method is proposed, referred to as Network-aware EV Charging (and Discharging) N-EVC(D), that takes into account both EV customer economics and distribution grid constraints. Specifically, N-EVC(D) is designed to maintain quasi-steady-state feeder voltages within statutory power quality limits, while minimizing EV customer operational costs associated with: (1) purchasing (or otherwise being compensated for delivering) electricity on a time-of-use tariff; and (2) battery degradation due to frequent charging and discharging. The optimization problem for N-EVC(D) is formulated as a quadratic program, with voltage constraints to limit voltage variability across a radial distribution feeder, and individual EV constraints to satisfy heterogeneous EV charge requirements. In N-EVC(D), each grid-connected EV follows an operator-specified battery schedule that is obtained by solving the proposed quadratic program. A receding horizon implementation is also proposed to support near-real-time N-EVC(D) operations while accommodating non-deterministic EV arrivals and departures. The benefits of N-EVC(D) are assessed by means of numerical simulations carried out on an IEEE test feeder populated with a real-world dataset of residential load collected from households within an Australian distribution network. The simulation results confirm that N-EVC(D) mitigates non-compliant voltage deviations that would otherwise occur when voltage constraints are not enforced. Compared to uncoordinated EV charging, N-EVC(D) offers a 92% ? 111% reduction in the operational costs incurred by EV customers.

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