A HYBRID ALGORITHM FOR OPTIMAL PMU PLACEMENT

被引:1
|
作者
Baba, Maveeya [1 ]
Nor, Nursyarizal B. M. [1 ]
Sheikh, M. Aman [2 ]
Baba, A. Momin [3 ]
Rehman, Masood [1 ]
Shah, Syed Hamid Ali [3 ]
机构
[1] Univ Teknol PETRONAS, Dept Elect & Elect Engn, Tronoh 32610, Perak, Malaysia
[2] Sunway Univ, Dept Comp & Informat Syst, 5 Jalan Univ, Petaling Jaya 47500, Selangor, Malaysia
[3] CECOS Univ Informat Technol & Emerging Sci, Dept Elect Engn, Sect F 5 Phase 6 Hayatabad, Peshawar 25000, Khyber Pakhtunk, Pakistan
关键词
Phasor Measurement Units (PMUs); Graph-Theoretic Procedure (GTH); Recursive algorithm (RA); SYSTEM OBSERVABILITY;
D O I
10.1109/ICIAS49414.2021.9642407
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a hybrid approach envision to determine the optimal PMU placement problem (OPPP) in any sort of IEEE network to make it observable. While using the old version of Graph-Theoretic Procedure (GTH) for optimization purposes, it takes additional time to complete the process and uses an extra number of PMUs for the placement model. Therefore, the importance of the presented work is to improve the performance of GTH using a merging process, and a certain number of important parameters from the Recursive algorithm (RA) are combined successfully. The proposed work is tested on different IEEE-case systems such as IEEE-9, -14, -24, -30, and New England 39-case system. Moreover, the results of the proposed hybrid approach are compared with the existing techniques to get the effectiveness of the proposed work about minimizing the number of PMUs.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Optimal PMU Placement for State Estimation Robustness
    Gol, Murat
    Abur, Ali
    [J]. 2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT EUROPE), 2014,
  • [42] Optimal PMU Placement in the Presence of Conventional Measurements
    Jin, Zhaoyang
    Hou, Yueting
    Yu, Yue
    Ding, Lei
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2022, 2022
  • [43] Unified PMU Placement Algorithm for Power Systems
    Amare, Kunal
    Centeno, Virgilio A.
    Pal, Anamitra
    [J]. 2015 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2015,
  • [44] Hybrid of Genetic Algorithm and Minimum Spanning Tree method for optimal PMU placements
    Devi, M. Meenakshi
    Geethanjali, M.
    [J]. MEASUREMENT, 2020, 154 (154)
  • [45] Optimal PMU Placement Considering Contingencies by Using a Hybrid Discrete Particle Swarm Optimization Technique
    Alinejad-Beromi, Y.
    Ahmadi, A.
    Soleymanpour, H. Rezai
    [J]. INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2011, 6 (04): : 1927 - 1938
  • [46] A PMU Placement Optimal Method in Power Systems using Modified ACO Algorithm and GPS Timing
    Mosavi, Mohammad-Reza
    Akhyani, Amir-Ali
    Rahmati, Abdolreza
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (08): : 346 - 349
  • [47] System Observability Indices for Optimal Placement of PMU Measurements
    Powalko, M.
    Orths, A. G.
    Abildgaard, H.
    Eriksen, P. B.
    Rudion, K.
    Golub, I. I.
    Voropai, N. I.
    [J]. 2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [48] An Optimal Scheme for PMU Placement based on Generators Grouping
    Yang, Songhao
    Zhang, Baohui
    Hojo, Masahide
    Yamanaka, Kenji
    [J]. 2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 2260 - 2264
  • [49] Optimal multistage scheduling of PMU placement: An ILP approach
    Dua, Devesh
    Dambhare, Sanjay
    Gajbhiye, Rajeev Kumar
    Soman, S. A.
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2008, 23 (04) : 1812 - 1820
  • [50] Synchrophasor measurement applications and optimal PMU placement: A review
    Joshi, Prachi Mafidar
    Verma, H. K.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2021, 199