PMU Optimal Placement Algorithm Using Topological Observability Analysis

被引:6
|
作者
Kim, Byoung-Ho [1 ]
Kim, Hongrae [1 ]
机构
[1] Soonchunhyang Univ, Dept Elect & Informat Engn, Asan, South Korea
关键词
Topological observability analysis; PMU optimal placement;
D O I
10.1007/s42835-021-00822-5
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
State estimation aims to estimate the optimal state variables that can represent the current state of a system based on the measurement set in the power system. The PMU (phasor measurement unit) is a key technology that can directly improve the performance of the monitoring, control and state estimation in the power system. The PMU enables the direct measurement of state variables such as voltage magnitude and phase angle. It also makes it possible to synchronize the measurement set using the GPS time stamp. To improve the performance of state estimation, it is not economical to place PMUs on all buses in the power system, so the PMU optimal placement must be determined. PMU optimal placement can be expressed as a limited optimization problem that secures the observability of the system with the placement of minimal PMUs by identifying the locations at which the PMUs should be installed. In this paper, we present the development of a PMU optimal placement algorithm that can determine the observability by searching the spanning tree of the graph, by which a topological connection relationship is created by measurement set.
引用
收藏
页码:2909 / 2916
页数:8
相关论文
共 50 条
  • [1] PMU Optimal Placement Algorithm Using Topological Observability Analysis
    Byoung-Ho Kim
    Hongrae Kim
    Journal of Electrical Engineering & Technology, 2021, 16 : 2909 - 2916
  • [2] Observability Analysis and Optimal Placement of PMU using Differential Evolution Algorithm
    Venkateswaran, V. Balaji
    Kala, V. Subbu Chithira
    2012 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ELECTRICAL ENGINEERING AND ENERGY MANAGEMENT (ICETEEEM - 2012), 2012, : 205 - 209
  • [3] A Topological algorithm for observability analysis with PMU measurements
    Zhang, Haibo
    Han, Kexin
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 4431 - 4437
  • [4] Optimal PMU placement for full network observability using Tabu search algorithm
    Peng, JN
    Sun, YZ
    Wang, HF
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2006, 28 (04) : 223 - 231
  • [5] Optimal PMU placement for power system observability using Taguchi binary bat algorithm
    Vedik, Basetti
    Chandel, Ashwani K.
    MEASUREMENT, 2017, 95 : 8 - 20
  • [7] An Optimal PMU Placement Technique for the Topological Observability of a Part of the NER Grid of India
    Sinha, A. K.
    Kumar, Ramesh
    Saikia, Chaynika
    Rudrapaul, Satyabrata
    Saikia, Bristi
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013), 2013, : 142 - 146
  • [8] Optimal PMU placement method for complete topological and numerical observability of power system
    Sodhi, Ranjana
    Srivastava, S. C.
    Singh, S. N.
    ELECTRIC POWER SYSTEMS RESEARCH, 2010, 80 (09) : 1154 - 1159
  • [9] Observability of power systems with optimal PMU placement
    Carvalho, Margarida
    Klimentova, Xenia
    Viana, Ana
    COMPUTERS & OPERATIONS RESEARCH, 2018, 96 : 330 - +
  • [10] Optimal PMU Placement for Complete System Observability and Fault Observability Using Graph Theory
    Ghosh, Pronob K.
    Tahabilder, Anik
    2017 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON), 2017,