A hierarchical collaborative optimization method for transmission network restoration

被引:0
|
作者
Cao, Xi [1 ]
Wang, Hongtao [1 ]
Liu, Yutian [1 ]
机构
[1] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Jinan,Shandong Province,250061, China
基金
中国国家自然科学基金;
关键词
D O I
10.13334/j.0258-8013.pcsee.2015.19.008
中图分类号
学科分类号
摘要
Network restoration after a widespread blackout involves complicated multi-process operations with a large spatial and temporal span, which needs the cooperation of multi-level dispatching centers. So a hierarchical collaborative optimization method for network restoration was proposed. The concept of feed point (FP) was introduced and the network restoration was divided into two layers. An FP based restoration cooperation mechanism was built. And then the collaborative optimization model was established. The objectives of this model are defined as network reconfiguration degree and total power production. The method combined hierarchical optimization with overall searching of the FP index value which makes the solving scale of the whole problem reduced dramatically. Global optimization and preference of each region can be obtained at the same time. The cooperation mechanism makes the task assignment clear. The coordination control of active/reactive power and multi-process parallel restoration operations can be achieved. The cases of Shandong power grid verify the effectiveness and practicability of this method. © 2015 Chinese Society for Electrical Engineering.
引用
收藏
页码:4906 / 4917
相关论文
共 50 条
  • [41] Optimization of Transmission System Repair and Restoration with Crew Routing
    Arif, Anmar
    Ma, Shanshan
    Wang, Zhaoyu
    2016 North American Power Symposium (NAPS), 2016,
  • [42] A Reliability Optimization Method for Collaborative Manufacturing Service Network Based on Mining of Important Nodes
    Wu, Yinan
    Zhang, Heming
    2017 IEEE 21ST INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2017, : 402 - 407
  • [43] Transmission Fusion and Optimization for Single Underwater Image Restoration
    Yang A.
    Yang B.
    Qu C.
    Wang J.
    Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2019, 52 (10): : 1033 - 1044
  • [44] Path Optimization of Power System Restoration With HVDC Transmission
    Gu X.
    Yang C.
    Liang H.
    Li S.
    Liu Y.
    Li X.
    Dianwang Jishu/Power System Technology, 2019, 43 (06): : 2020 - 2030
  • [45] Virtual Dunhuang mural restoration system in collaborative network environment
    Li, XY
    Lu, DM
    Pan, YH
    COMPUTER GRAPHICS FORUM, 2000, 19 (03) : C331 - +
  • [46] COLA-Net: Collaborative Attention Network for Image Restoration
    Mou, Chong
    Zhang, Jian
    Fan, Xiaopeng
    Liu, Hangfan
    Wang, Ronggang
    IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 24 : 1366 - 1377
  • [47] Novel method for faster restoration of transmission lines
    Peesapati, V. V. Rajagopal
    Kumar, Niranjan
    Yadav, Vinod Kumar
    2015 INTERNATIONAL CONFERENCE ON RECENT DEVELOPMENTS IN CONTROL, AUTOMATION AND POWER ENGINEERING (RDCAPE), 2015, : 367 - 370
  • [48] Overlap-extend hierarchical restoration for Metropolitan Area Network
    Cao, Yining
    Bian, Chao
    Li, Yanhe
    Zhang, Hanyi
    NETWORK ARCHITECTURES, MANAGEMENT, AND APPLICATIONS IV, 2006, 6354
  • [49] Heuristic optimization for the restoration scheme of the ATM Network
    Koh, Jai Sang
    Jeong, Myong K.
    2006 ASIA-PACIFIC CONFERENCE ON COMMUNICATION, VOLS 1 AND 2, 2006, : 912 - 916
  • [50] Hierarchical candidate recursive network for highlight restoration in endoscopic videos
    Xu, Chenchu
    Wu, Jiangnan
    Zhang, Dong
    Han, Longfei
    Zhang, Dingwen
    Han, Junwei
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 267