Hosting Capacity Evaluation Method for Power Distribution Networks Integrated with Electric Vehicles

被引:8
作者
Dai, Wei [1 ]
Wang, Cheng [1 ]
Goh, Hui Hwang [1 ]
Zhao, Jingyi [1 ]
Jian, Jiangyi [1 ]
机构
[1] Guangxi Univ, Sch Elect Engn, Nanning 530000, Peoples R China
基金
中国国家自然科学基金;
关键词
Electric vehicle charging; Renewable energy sources; Security; Mathematical models; Power systems; Generators; Load modeling; Capacity evaluation; demand response (DR); electric vehicle (EV); electric vehicle chargeable area (EVCA); WIND POWER; OPTIMIZATION; MAXIMIZATION; MANAGEMENT; BENEFITS; DEMAND; REGION; LOAD;
D O I
10.35833/MPCE.2022.000515
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The large-scale deployment of electric vehicles (EVs) poses critical challenges to the secure and economic operation of power distribution networks (PDNs). Therefore, a method for evaluating the hosting capacity that enables a PDN to determine the EV chargeable area (EVCA) to satisfy the charging demand and ensure the secure operation is proposed in this paper. Specifically, the distribution system operator (DSO) serves as a public entity to manage the integration of EVs by determining the presence of the charging load in the EVCA. Hence, an EVCA optimization model is formulated on the basis of the coupling effect of the charging nodes to determine the range of the available charging power. In this model, nonlinear power flow equations and operational constraints are considered to maintain the solvability of the power flow of the PDN. Subsequently, a novel multipoint approximation technique is proposed to quickly search for the boundary points of the EVCA. In addition, the impact of the demand response (DR) mechanism on the hosting capacity is explored. The results show that the presence of the DR significantly enlarged the EVCA during peak hours, thus revealing the suitability of the DR mechanism as an important supplement to accommodate the EV charging load. The examined case studies demonstrate the effectiveness of the proposed model and show that the unmanaged allocation of the charging load impedes secure operation. Finally, the proposed method provides a reference for the allocation of the EV charging load and a reduction in the risk of line overloading.
引用
收藏
页码:1564 / 1575
页数:12
相关论文
共 42 条
  • [1] Modeling and prioritizing demand response programs in power markets
    Aalami, H. A.
    Moghaddam, M. Parsa
    Yousefi, G. R.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2010, 80 (04) : 426 - 435
  • [2] Flexible scheduling of reconfigurable microgrid-based distribution networks considering demand response program
    Ajoulabadi, Ata
    Ravadanegh, Sajad Najafi
    Mohammadi-Ivatloo, Behnam
    [J]. ENERGY, 2020, 196
  • [3] Alturki M, 2014, Hosting capacity calculations in power systems
  • [4] Optimization-based distribution grid hosting capacity calculations
    Alturki, Mansoor
    Khodaei, Amin
    Paaso, Aleksi
    Bahramirad, Shay
    [J]. APPLIED ENERGY, 2018, 219 : 350 - 360
  • [5] Probabilistic assessment of voltage quality on solar-powered electric vehicle charging station
    Angelim, Jorge Henrique
    Affonso, Carolina de Mattos
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2020, 189
  • [7] A Review on Electric Vehicle Charging Infrastructure Development in the UK
    Chen, Tianjin
    Zhang, Xiao-Ping
    Wang, Jianji
    Li, Jianing
    Wu, Cong
    Hu, Mingzhu
    Bian, Huiping
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2020, 8 (02) : 193 - 205
  • [8] Enhancing Flexibility at the Transmission-Distribution Interface With Power Flow Routers
    Chen, Tianlun
    Song, Yue
    Hill, David J.
    Lam, Albert Y. S.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (04) : 2948 - 2960
  • [9] Data-Driven DG Capacity Assessment Method for Active Distribution Networks
    Chen, Xin
    Wu, Wenchuan
    Zhang, Boming
    Lin, Chenhui
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (05) : 3946 - 3957
  • [10] The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid
    Clement-Nyns, Kristien
    Haesen, Edwin
    Driesen, Johan
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (01) : 371 - 380