A revised branch current-based distribution system state estimation algorithm and meter placement impact

被引:199
|
作者
Wang, HB [1 ]
Schulz, NN
机构
[1] Mississippi State Univ, Dept Elect & Comp Engn, Starkville, MS 39759 USA
[2] Mississippi State Univ, Dept Elect & Comp Engn, Mississippi State, MS 39762 USA
基金
美国国家科学基金会;
关键词
automated meter reading; load estimation; meter placement; power distribution systems; state estimation;
D O I
10.1109/TPWRS.2003.821426
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
With the development of automation in distribution systems, distribution supervisory control and data acquisition (SCADA) and many automated meter reading (AMR) systems have been installed on distribution systems. Also distribution management system (DMS) have advanced and include more sophisticated analysis tools. The combination of these developments is providing a platform for development of distribution system state estimation (DSE). A branch-current-based three-phase state estimation algorithm for distribution systems has been developed and tested. This method chooses the magnitude and phase angle of the branch current as the state variables. Because of the limited number of real-time measurements in the distribution system, the state estimator can not acquire enough real-time measurements for convergence, so pseudo-measurements are necessary for distribution system state estimator. The load estimated at every node from the AMR systems is used as a pseudo-measurement for the state estimator. The algorithm has been tested on three IEEE radial test feeders. In addition to this new strategy for DSE, another issue is meter-placement. This topic includes the type of measurement as well as the location of the measurement. Our results show the impact of these two issues on accuracy. Several general meter rules based on this analysis are outlined.
引用
收藏
页码:207 / 213
页数:7
相关论文
共 50 条
  • [21] Topology Processing in Distribution Systems by Branch Current based State Estimation
    Zamani, Vahraz
    Baran, Mesut
    2015 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2015,
  • [22] Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution system
    L. Ramesh
    N. Chakraborty
    S. P. Chowdhury
    Frontiers in Energy, 2012, 6 (1) : 47 - 56
  • [23] Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution system
    Ramesh, L.
    Chakraborty, N.
    Chowdhury, S. P.
    FRONTIERS IN ENERGY, 2012, 6 (01) : 47 - 56
  • [24] Tabu search based meter placement for topological observability in power system state estimation
    Meiji Univ, Kawasaki, Japan
    Proc IEEE Power Eng Soc Trans Distrib Conf, (172-177):
  • [25] Tabu search based meter placement for topological observability in power system state estimation
    Mori, H
    Sone, Y
    1999 IEEE TRANSMISSION AND DISTRIBUTION CONFERENCE, VOLS 1 & 2, 1999, : 172 - 177
  • [26] Optimal switch placement with revised genetic algorithm in distribution system
    Ahour, J. Nosratian
    Rostami, M.
    Majd, V. Taheri
    Rashidbeygi, M.
    Moazen, H.
    2016 21ST CONFERENCE ON ELECTRICAL POWER DISTRIBUTION NETWORKS CONFERENCE (EPDC), 2016, : 54 - 59
  • [27] A fast heuristic optimization algorithm for measurement placement in distribution system state estimation
    Jiao, Runhai
    Li, Yuying
    Wang, Yi
    Lin, Biying
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2017, 12 (05) : 657 - 664
  • [28] Optimal Meter Placement for Distribution Network State Estimation: A Circuit Representation Based MILP Approach
    Chen, Xiaoshuang
    Lin, Jin
    Wan, Can
    Song, Yonghua
    You, Shi
    Zong, Yi
    Guo, Wanfang
    Li, Yuanxi
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (06) : 4357 - 4370
  • [29] A BRANCH-CURRENT-BASED STATE ESTIMATION METHOD FOR DISTRIBUTION-SYSTEMS
    BARAN, ME
    KELLEY, AW
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1995, 10 (01) : 483 - 491
  • [30] Meter placement approaches for matrix completion-based distribution system state estimator
    Madbhavi, Rahul
    Natarajan, Balasubramaniam
    Srinivasan, Babji
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 213