An Aggregate Model of Plug-In Electric Vehicles for Primary Frequency Control

被引:125
|
作者
Izadkhast, Seyedmahdi [1 ]
Garcia-Gonzalez, Pablo [1 ]
Frias, Pablo [1 ]
机构
[1] Univ Pontificia Comillas, Sch Engn ICAI, Inst Res Technol IIT, Madrid, Spain
关键词
Battery chargers; electric vehicles; frequency control; modeling;
D O I
10.1109/TPWRS.2014.2337373
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 penetration level of plug-in electric vehicles (PEVs) has the potential to be notably increased in the near future, and as a consequence, power systems face new challenges and opportunities. In particular, PEVs are able to provide different types of power system ancillary services. The capability of storing energy and the instantaneous active power control of the fast-switching converters of PEVs are two attractive features that enable PEVs to provide various ancillary services, e.g., primary frequency control (PFC). However, concurrently, PEVs are obliged to be operated and controlled within limits, which curbs the grid support from PEVs. This paper proposes a new model for PEV using a participation factor, which facilitates the incorporation of several PEV fleets characteristics such as minimum desired state of charge (SOC) of the PEV owners, drive train power limitations, constant current and constant voltage charging modes of PEVs. In order to reduce computational complexity, an aggregate model of PEVs is provided using statistical data. In the end, the performance of PEVs for the provision of PFC is evaluated in a power system. Results show that PEV fleets can successfully improve frequency response, once all the operating constraints are respected.
引用
收藏
页码:1475 / 1482
页数:8
相关论文
共 50 条
  • [21] Asynchronous Method for Frequency Regulation by Dispersed Plug-in Electric Vehicles
    Kuang, Yonghong
    Li, Canbing
    Zhou, Bin
    Cao, Yijia
    Yang, Hanyu
    Zeng, Long
    INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2018, 19 (03)
  • [22] Nonlinear Model Predictive Control for Thermal Management in Plug-in Hybrid Electric Vehicles
    Lopez-Sanz, Jorge
    Ocampo-Martinez, Carlos
    Alvarez-Florez, Jesus
    Moreno-Eguilaz, Manuel
    Ruiz-Mansilla, Rafael
    Kalmus, Julian
    Graeeber, Manuel
    Lux, Gerhard
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (05) : 3632 - 3644
  • [23] Frequency emergency control method considering the plug-in electric vehicles aggregator load shedding
    Rao, D. Q.
    Hou, M. J.
    Luo, T.
    Fang, S. L.
    2019 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM, 2019, 354
  • [24] Efficient Model for Accurate Assessment of Frequency Support by Large Populations of Plug-in Electric Vehicles
    Dakanalis, Michail
    Kanellos, Fotios D.
    INVENTIONS, 2021, 6 (04)
  • [25] Plug-in vehicles for primary frequency regulation: what technical implementation?
    Petit, Marc
    Perez, Yannick
    2013 IEEE GRENOBLE POWERTECH (POWERTECH), 2013,
  • [26] Credibility-based distributed frequency estimation for plug-in electric vehicles participating in load frequency control
    Hu, Zhijian
    Liu, Shichao
    Wu, Ligang
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 130
  • [27] Decentralized control of plug-in electric vehicles under driving uncertainty
    Vaya, Marina Gonzalez
    Andersson, Goeran
    Boyd, Stephen
    2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT EUROPE), 2014,
  • [28] Nested Control of Plug-in Electric Vehicles for Renewable Power Tracking
    Ebrahimi, Behrouz
    Mohammadpour, Javad
    2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2014,
  • [29] Energy Control of Plug-In Hybrid Electric Vehicles Using Model Predictive Control With Route Preview
    Zhao, Yang
    Cai, Yanguang
    Song, Qiwen
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 8 (12) : 1948 - 1955
  • [30] Decentralized Charging Control of Large Populations of Plug-in Electric Vehicles
    Ma, Zhongjing
    Callaway, Duncan S.
    Hiskens, Ian A.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (01) : 67 - 78