Optimal Placement of Phasor Measurement Unit using Binary Particle Swarm Optimization in Connected Power Network

被引:0
|
作者
Babu, Rohit [1 ]
Bhattacharyya, Biplab [1 ]
机构
[1] Indian Sch Mines, Dept Elect Engn, Dhanbad, Jharkhand, India
关键词
binary particle swarm optimization; observability; PMU placement; OPTIMAL PMU PLACEMENT; SYSTEM OBSERVABILITY; FORMULATION; ALGORITHM;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper suggested binary particle swarm optimization (BPSO) technique to place phasor measurement units (PMUs) optimally at suitable sites in a connected power network so that the connected power network can be fully perceptible. The goal of the suggested approach is to minimize number of PMUs as it is unwise to site PMUs at each bus to measure the state of connected power network as the PMUs and communication facilities are very expensive. The suggested method is applied on standard test systems such as IEEE 14, 30, New England 39 and IEEE 57-bus test system for optimal placements of PMUs with and without deliberation of zero injection bus. The outcomes compared with the existing standard results in literature. It is observed that the suggested approach ensures that the connected power network with minimum number of PMUs is fully observable.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Optimal Phasor Measuring Unit Placement by Binary Particle Swarm Optimization
    Kumari, Saroj
    Walde, Pratima
    Iqbal, Asif
    Tyagi, Akash
    [J]. 2017 8TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2017,
  • [2] Optimal Placement of Phasor Measurement Units using Particle Swarm Optimization
    Sadu, Abhinav
    Kumar, Rajesh
    Kavasseri, Rajesh G.
    [J]. 2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009), 2009, : 1707 - +
  • [3] Optimal phasor measurement units placement to maintain network observability using a novel binary particle swarm optimization and fuzzy system
    Abiri, Ebrahim
    Rashidi, Farzan
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 28 (01) : 477 - 483
  • [4] Optimal placement of phasor measurement units: Particle swarm optimization approach
    Hajian, M.
    Ranjbar, A. M.
    Amraee, Turaj
    Shirani, A. R.
    [J]. 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS APPLICATIONS TO POWER SYSTEMS, VOLS 1 AND 2, 2007, : 144 - +
  • [5] Reconfiguration and Optimal Micro-Phasor Unit Placement in a Distribution System Using Taguchi-Binary Particle Swarm Optimization
    Sukriti Tiwari
    Ashwani Kumar
    [J]. Arabian Journal for Science and Engineering, 2021, 46 : 1213 - 1223
  • [6] Reconfiguration and Optimal Micro-Phasor Unit Placement in a Distribution System Using Taguchi-Binary Particle Swarm Optimization
    Tiwari, Sukriti
    Kumar, Ashwani
    [J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021, 46 (02) : 1213 - 1223
  • [7] Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy
    Ahmadi, A.
    Alinejad-Beromi, Y.
    Moradi, M.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (06) : 7263 - 7269
  • [8] Optimal allocation of phasor measurement unit for full observability of the connected power network
    Babu, Rohit
    Bhattacharyya, Biplab
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 79 : 89 - 97
  • [9] Optimal phasor measurement units placement for full observability of power system using improved particle swarm optimisation
    Saleh, Alaa Abdelwahab
    Adail, Ahmed S.
    Wadoud, Amir A.
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (07) : 1794 - 1800
  • [10] A Strategic and Significant Method for the Optimal Placement of Phasor Measurement Unit for Power System Network
    Baba, Maveeya
    Nor, Nursyarizal B. M.
    Sheikh, M. Aman
    Irfan, Muhammad
    Tahir, Mohammad
    [J]. SYMMETRY-BASEL, 2020, 12 (07):