A Framework for Control and Co-Simulation in Distribution Networks Applied to Electric Vehicle Charging with Vehicle-Originating-Signals

被引:0
|
作者
Mirtaheri, Hamidreza [1 ]
Chicco, Gianfranco [1 ]
del Razo, Victor [2 ]
Jacobsen, Hans-Arno [2 ]
机构
[1] Politecn Torino, Dept Energy, Turin, Italy
[2] Tech Univ Munich, Dept Comp Sci, Munich, Germany
关键词
Co-Simulation; PowerFactory; Electric Vehicle; Smart Grid; Distribution Network; Power Systems;
D O I
暂无
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
The increasing share of renewable energy sources and distributed energy generation (DER) in the energy mix brings a number of challenges to the power system, particularly to the distribution network (DN). New control methods and algorithms are being studied to address these challenges, but the effects of such algorithms on actual DNs are often difficult to validate. Co-simulation, considering the advanced state of existing DN simulation tools, is a potential solution but usually requires some degree of expertise. In this work, we introduce a framework tor implementing control algorithms tor DNs assisted by co-simulation. This framework uses the commercial simulator PowerFactory but does not require a high tool-specific expertise and can be integrated into other simulation tools. Then we apply this framework to an electric vehicle charging use case and show the results and benefits. Furthermore we extend an existing charging control algorithm to support local voltage control.
引用
下载
收藏
页数:6
相关论文
共 50 条
  • [41] An Integrated Traffic and Vehicle Co-Simulation Testing Framework for Connected and Autonomous Vehicles
    Shi, Yunyang
    Liu, Zhongkai
    Wang, Zihan
    Ye, Jiajun
    Tong, Weiping
    Liu, Zhiyuan
    IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2022, 14 (06) : 26 - 40
  • [42] Electric Vehicle Charging Simulation Framework Considering Traffic, User, and Power Grid
    Liu, Weicheng
    Shi, Xujiang
    Zhao, Jianfeng
    Zhang, Xiao-Ping
    Xue, Ying
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2021, 9 (03) : 602 - 611
  • [43] HARVEST: A framework and co-simulation environment for analyzing unmanned aerial vehicle swarms
    Augeri, Christopher J.
    Morris, Kevin M.
    Mullins, Barry E.
    MILCOM 2006, VOLS 1-7, 2006, : 1082 - +
  • [44] Impact of electric vehicle charging on distribution network load and coordinated control
    Wang, Jian
    Wu, Kuihua
    Liu, Zhizhen
    Wu, Kuizhong
    Sun, Wei
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2013, 33 (08): : 47 - 52
  • [45] Two-Stage Framework for Electric Vehicle Charging in Smart Distribution System
    Panwar, Lokesh Kumar
    Srikanth, K.
    Verma, Ashu
    Panigrahi, B. K.
    2017 IEEE REGION 10 INTERNATIONAL SYMPOSIUM ON TECHNOLOGIES FOR SMART CITIES (IEEE TENSYMP 2017), 2017,
  • [46] Electric vehicle charging through mobile charging station deployment in coupled distribution and transportation networks
    Beyazit, Muhammed Ali
    Tascikaraoglu, Akin
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2023, 35
  • [47] Modelling and Simulation of centralized electric vehicle charging station wireless communication networks
    Liu, Chao
    Zhou, Qiuzhan
    Hu, Jikang
    Xu, Hailong
    Zhang, Hebin
    INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTATIONAL MODELING AND SIMULATION, 2012, 31 : 746 - 750
  • [48] Co-Simulation of Composite ABS Control for In-Wheel Motor Drive Electric Vehicle Based on Threshold Control Algorithm
    Li, Jianhua
    Song, Chuanxue
    Jin, Liqiang
    MATERIAL DESIGN, PROCESSING AND APPLICATIONS, PARTS 1-4, 2013, 690-693 : 3036 - 3041
  • [49] Probability Model and Simulation Method of Electric Vehicle Charging Load on Distribution Network
    Zhou, Niancheng
    Xiong, Xicong
    Wang, Qianggang
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2014, 42 (09) : 879 - 888
  • [50] Metaheuristic Algorithms for Evaluating the Effect of Electric Vehicle Charging Infrastructures in Distribution Networks
    Nandini, K. K.
    Jayalakshmi, N. S.
    Jadoun, Vinay Kumar
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2023,