Optimal Placement of Phasor Measurement Units Based on Information Entropy Property Evaluation

被引:0
|
作者
Feng Yuan [1 ]
Xia Li [1 ]
Wang Li-ming [1 ]
Yan Xiao-ling [1 ]
Xiao Liang-fen [1 ]
机构
[1] Naval Univ Engn, Inst Elect & Informat Engn, Wuhan 430033, Hubei Province, Peoples R China
来源
ADVANCED MEASUREMENT AND TEST, PTS 1-3 | 2011年 / 301-303卷
关键词
Power System; PMU Optimal Placement; Data Mining; Property Evaluation;
D O I
10.4028/www.scientific.net/AMR.301-303.774
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The optimal placement of PMU exerts very important influences on the application of Synchronized Phasor Measurement Technique in power system. In the paper, the optimal placement of PMU is firstly transformed into importance evaluation for the node. Then, PMU optimization algorithm of power system is proposed based on property evaluation of information entropy in connection with node importance evaluation. In the main idea of the algorithm, PMU is configured respectively according to importance order of each node in power system. As the experimental results show, attribute of se becomes the most important one in the property evaluation of information entropy. Contrasting original score Table 1 with the evaluation results Table 7, we conclude that final importance order for the node brings into correspondence with the score of attribute se, which proves the correctness of the algorithm eventually. Two methods of optimal placement of PMU raised in the end provide very strong instructive significance to the practices in reality.
引用
收藏
页码:774 / 779
页数:6
相关论文
共 9 条
  • [1] Probabilistic approach based Optimal placement of Phasor Measurement Units via the estimation of Dynamic Vulnerability Assessment
    Priyadharshini, M.
    Meenakumari, R.
    2014 INTERNATIONAL CONFERENCE ON GREEN COMPUTING COMMUNICATION AND ELECTRICAL ENGINEERING (ICGCCEE), 2014,
  • [2] Optimal Placement of Phasor Measurement Unit based on Bus Observation Reliability
    Tran, Van-Khoi
    Zhang, He-Sheng
    RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2019, 12 (01) : 68 - 78
  • [3] Ranking of phasor measurement units based on control strategy for small-signal stability
    Sharma, Charu
    Tyagi, Barjeev
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2015, 25 (10): : 2359 - 2375
  • [4] GPS synchronized phasor measurement units-based wide area robust PSS parameters optimization
    Nandar, Cuk Supriyadi Ali
    Ngamroo, Issarachai
    Dechanupaprittha, Sanchai
    Watanabe, Masayuki
    Mitani, Yasunori
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2011, 21 (01): : 345 - 362
  • [5] Optimal Phasor Measurement Unit Placement for Numerical Observability Using Branch-and-Bound and a Binary-Coded Genetic Algorithm
    Theodorakatos, Nikolaos P.
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2019, 47 (4-5) : 357 - 371
  • [6] A robust state estimation by optimal placement of measurement units considering loads/renewable generations and measurements uncertainty
    Asadzadeh, Babak
    Tousi, Behrouz
    Galvani, Sadjad
    Talavat, Vahid
    IET RENEWABLE POWER GENERATION, 2024, 18 (06) : 990 - 1006
  • [7] Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review
    Senyuk, Mihail
    Beryozkina, Svetlana
    Safaraliev, Murodbek
    Pazderin, Andrey
    Odinaev, Ismoil
    Klassen, Viktor
    Savosina, Alena
    Kamalov, Firuz
    ENERGIES, 2024, 17 (04)
  • [8] Binary particle swarm optimisation-based optimal substation coverage algorithm for phasor measurement unit installations in practical systems
    Mishra, Chetan
    Jones, Kevin D.
    Pal, Anamitra
    Centeno, Virgilio A.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (02) : 555 - 562
  • [9] Bulk Low-Inertia Power Systems Adaptive Fault Type Classification Method Based on Machine Learning and Phasor Measurement Units Data
    Senyuk, Mihail
    Beryozkina, Svetlana
    Zicmane, Inga
    Safaraliev, Murodbek
    Klassen, Viktor
    Kamalov, Firuz
    MATHEMATICS, 2025, 13 (02)