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

被引:36
作者
Nimalsiri, Nanduni I. [1 ,2 ]
Ratnam, Elizabeth L. [1 ]
Mediwaththe, Chathurika P. [1 ]
Smith, David B. [1 ,2 ]
Halgamuge, Saman K. [1 ,3 ]
机构
[1] Australian Natl Univ, Sch Engn, Canberra, ACT 2600, Australia
[2] CSIRO Data61, Eveleigh, NSW 2015, Australia
[3] Univ Melbourne, Sch Engn, Parkville, Vic 3010, Australia
关键词
Electric vehicles; Quadratic program; Receding horizon; Supply voltages; Time-of-use; Vehicle-to-grid; RESIDENTIAL DISTRIBUTION-SYSTEMS; BATTERY STORAGE; IMPACTS;
D O I
10.1016/j.apenergy.2021.116857
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 43 条
[1]   A Voltage-Based Controller for an Electric-Vehicle Charger [J].
Al-Awami, Ali T. ;
Sortomme, Eric ;
Akhtar, Ghous Muhammad Asim ;
Faddel, Samy .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (06) :4185-4196
[2]   OPTIMAL SIZING OF CAPACITORS PLACED ON A RADIAL-DISTRIBUTION SYSTEM [J].
BARAN, ME ;
WU, FF .
IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (01) :735-743
[3]   NETWORK RECONFIGURATION IN DISTRIBUTION-SYSTEMS FOR LOSS REDUCTION AND LOAD BALANCING [J].
BARAN, ME ;
WU, FF .
IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (02) :1401-1407
[4]   Coordinated control of distribution grid and electric vehicle loads [J].
Bharati, G. R. ;
Paudyal, S. .
ELECTRIC POWER SYSTEMS RESEARCH, 2016, 140 :761-768
[5]   Electric Vehicle-Grid Integration with Voltage Regulation in Radial Distribution Networks [J].
Cao, Chong ;
Wu, Zhouquan ;
Chen, Bo .
ENERGIES, 2020, 13 (07)
[6]   A receding horizon approach to peak power minimization for EV charging stations in the presence of uncertainty [J].
Casini, Marco ;
Vicino, Antonio ;
Zanvettor, Giovanni Gino .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 126
[7]  
Chang W-Y, 2013, INT SCH RES NOT
[8]   The impact of vehicle-to-grid on the distribution grid [J].
Clement-Nyns, Kristien ;
Haesen, Edwin ;
Driesen, Johan .
ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (01) :185-192
[9]   Optimal Charging of Electric Vehicles Taking Distribution Network Constraints Into Account [J].
de Hoog, Julian ;
Alpcan, Tansu ;
Brazil, Marcus ;
Thomas, Doreen Anne ;
Mareels, Iven .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (01) :365-375
[10]  
Diamond S, 2016, J MACH LEARN RES, V17