A two-phase investment model for optimal allocation of phasor measurement units considering transmission switching

被引:11
|
作者
Mousavian, Seyedamirabbas [1 ]
Valenzuela, Jorge [2 ]
Wang, Jianhui [3 ]
机构
[1] Clarkson Univ, Sch Business, Potsdam, NY 13699 USA
[2] Auburn Univ, Dept Ind & Syst Engn, Auburn, AL 36849 USA
[3] Argonne Natl Lab, Argonne, IL 60439 USA
关键词
Phasor measurement unit; Optimal placement; Network observability; Transmission switching; Integer linear programming; Two-phase investment model; OPTIMAL PMU PLACEMENT; POWER-SYSTEM OBSERVABILITY;
D O I
10.1016/j.epsr.2014.10.025
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
Ensuring the reliability of an electrical power system requires a wide-area monitoring and full observability of the state variables. Phasor measurement units (PMUs) collect in real time synchronized phasors of voltages and currents which are used for the observability of the power grid. Due to the considerable cost of installing PMUs, it is not possible to equip all buses with PMUs. In this paper, we propose an integer linear programming model to determine the optimal PMU placement plan in two investment phases. In the first phase, PMUs are installed to achieve full observability of the power grid whereas additional PMUs are installed in the second phase to guarantee the N-1 observability of the power grid. The proposed model also accounts for transmission switching and single contingencies such as failure of a PMU or a transmission line. Results are provided on several IEEE test systems which show that our proposed approach is a promising enhancement to the methods available for the optimal placement of PMUs. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:492 / 498
页数:7
相关论文
共 50 条
  • [41] Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization
    Ahrens, Achim
    Stampi-Bombelli, Alessandra
    Kurer, Selina
    Hangartner, Dominik
    JOURNAL OF APPLIED ECONOMETRICS, 2024, 39 (07) : 1379 - 1395
  • [42] A fuzzy inexact two-phase programming approach to solving optimal allocation problems in water resources management
    Shi, Bin
    Lu, Hong-wei
    Ren, Li-xia
    He, Li
    APPLIED MATHEMATICAL MODELLING, 2014, 38 (23) : 5502 - 5514
  • [43] Two-Phase Optimal Guidance Law considering Impact Angle Constraint with Bearings-Only Measurements
    Wang, Tianning
    Tang, Shengjing
    Guo, Jie
    Zhang, Haoqiang
    INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING, 2017, 2017
  • [44] Simultaneous Measurement of Two-Phase Flow Parameters for Drift-Flux Model
    Tat Thang Nguyen
    INTERNATIONAL JOURNAL OF HEAT AND TECHNOLOGY, 2021, 39 (04) : 1343 - 1350
  • [45] Phase distribution measurement model of gas-liquid two-phase flow based on GBDT
    Zeng S.
    Kong M.
    Huagong Jinzhan/Chemical Industry and Engineering Progress, 2024, 43 (02): : 800 - 807
  • [46] An optimized two-phase demand-responsive transit scheduling model considering dynamic demand
    Song, Cui-Ying
    Wang, He-Ling
    Chen, Lu
    Niu, Xue-Qin
    IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (05) : 853 - 871
  • [47] Second-order moment two-phase turbulence model considering particle wake effect
    Zeng, Zhuoxiong
    Han, Shoulei
    Xu, Yihua
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2007, 41 (11): : 1348 - 1350
  • [48] A Two-Phase, Joint-Commuting Model for Primary and Secondary Schools Considering Parking Sharing
    Liu, Huasheng
    Zhao, Yuqi
    Li, Jin
    Li, Yu
    Li, Xiaowen
    Yang, Sha
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (11)
  • [49] OPTIMAL LARGE-TIME BEHAVIOR OF THE TWO-PHASE FLUID MODEL IN THE WHOLE SPACE
    Wu, Guochun
    Zhang, Yinghui
    Zou, Lan
    SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 2020, 52 (06) : 5748 - 5774
  • [50] Increasing adoption rates at animal shelters: a two-phase approach to predict length of stay and optimal shelter allocation
    Janae Bradley
    Suchithra Rajendran
    BMC Veterinary Research, 17