Coordinated EV Charging and Reactive Power Optimization for Radial Distribution Network using Mixed Integer Second-order Cone Programming

被引：0
|
作者：
Li, Pengcheng [1 ]
Duan, Xiaoyu [2 ]
Yang, Jing [1 ]
Zhang, Qiuyan [1 ]
Zhao, Yuanliang [3 ]
Hu, Zechun [2 ]
机构：
[1] Guizhou Power Grid Co Ltd, Elect Power Res Inst, Guiyang, Guizhou, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[3] Guizhou Power Grid Co Ltd, Guiyang, Guizhou, Peoples R China
来源：
2017 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ASIA-PACIFIC (ITEC ASIA-PACIFIC) | 2017年
关键词：
Active power loss; distribution network; electric vehicle; reactive power optimization; second-order cone programming;
D O I：
暂无
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 increasing penetration of electric vehicles (EVs) will bring great challenges to the secure and economic operation of distribution networks. On the other hand, coordinated charging of EVs can alleviate the adverse impacts of charging loads and even increase the efficiency of distribution network operation. This paper aims at optimally scheduling the daily charging of EVs and the daily on/off switching of shunt capacitors to minimize the total active power losses. We formulate a mixed integer second-order cone programming (MI-SOCP) model for this scheduling problem considering the distribution network security constraints. Case study results show that coordinated charging of EVs with reactive power optimization can effectively reduce the active power losses and improve the nodal voltage profiles.
引用
收藏
页码：507 / 511
页数：5
相关论文
共 50 条
  • [31] A Method for Splitting Sending-end AC Power Grid Based on Mixed Integer Second-order Cone Programming
    Chen H.
    Chen Y.
    Wu C.
    Zhang P.
    Ye X.
    Zhuansun X.
    Dianwang Jishu/Power System Technology, 2022, 46 (01): : 274 - 283
  • [32] Mixed-integer second-order cone programming framework for optimal scheduling of microgrids considering power flow constraints
    Fu, Long
    Meng, Ke
    Liu, Bin
    Dong, Zhao Yang
    IET RENEWABLE POWER GENERATION, 2019, 13 (14) : 2673 - 2683
  • [33] An interval power flow method for radial distribution systems based on hybrid second-order cone and linear programming
    Zhang, Xuehan
    Woo, Hyeon
    Choi, Sungyun
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2023, 36
  • [34] Entry Trajectory Optimization by Second-Order Cone Programming
    Liu, Xinfu
    Shen, Zuojun
    Lu, Ping
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2016, 39 (02) : 227 - 241
  • [35] The second-order cone programming method for interval power flow of active distribution network with distributed generation
    Guo, Xiaoxuan
    Gong, Renxi
    Bao, Haibo
    Wang, Qingyu
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2018, 13 (05) : 696 - 703
  • [36] Second-order Cone Relaxation Model Adapting to Reactive Power Optimization for Three-phase Unbalanced Active Distribution Network
    Xu T.
    Ding T.
    Li L.
    Wang K.
    Chi F.
    Gao H.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021, 45 (24): : 81 - 88
  • [37] Spatial optimization of integrated energy system including hydrogen electrolysis center based on mixed integer second-order cone programming
    Xiaoxin, Zhang
    Qigong, Chen
    Yuan, Ge
    ENERGY SCIENCE & ENGINEERING, 2023, 11 (10) : 3462 - 3470
  • [38] Mixed-integer second-order cone programing model for VAR optimisation and network reconfiguration in active distribution networks
    Tian, Zhuang
    Wu, Wenchuan
    Zhang, Boming
    Bose, Anjan
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (08) : 1938 - 1946
  • [39] Study on optimal configuration of EV charging stations based on second-order cone
    Yin, Wanjun
    Ji, Jianbo
    Qin, Xuan
    ENERGY, 2023, 284
  • [40] Optimal scheduling of virtual power plant considering demand side response based on mixed integer second-order cone programming
    Liu L.
    Luo N.
    Wu T.
    Zheng W.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (08): : 96 - 104
12345