Integrated Mutation Strategy With Modified Binary PSO Algorithm for Optimal PMUs Placement

被引:76
作者
Abd Rahman, Nadia Hanis [1 ]
Zobaa, Ahmed Faheem [2 ]
机构
[1] Univ Kuala Lumpur, Kuala Lumpur 50250, Malaysia
[2] Brunel Univ London, Dept Elect & Comp Engn, Uxbridge UB8 3PH, Middx, England
关键词
Binary particle swarm optimization (BPSO); mutation; phasor measurement unit (PMU); smart grid; POWER-SYSTEM OBSERVABILITY; PARTICLE SWARM OPTIMIZATION; PHASOR MEASUREMENT UNITS;
D O I
10.1109/TII.2017.2708724
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Optimal phasor measurement units (PMUs) placement refers to the strategic placement of PMUs to achieve the full observability of power systems with a minimum number of PMUs. A strategic placement is needed because of the economic or technical restriction that hinders the deployment of PMUs on every bus. A modified version of the binary particle swarm optimization method is proposed in this paper by integrating a mutation strategy and the V-shaped sigmoid function for placing the PMUs that maintains the full power system observability in the presence of zero-injection bus, single PMU loss, and PMU's channel limits while maximizing the measurement redundancy. The solution that has the highest measurement redundancy was selected as the best placement of PMUs. The use of mutation strategy and V-shaped sigmoid function in this paper improves the population diversity, thereby minimizing the chance of the particles being trapped in the local optima, consequently leading to a quality solution. In order to validate its effectiveness, the results obtained by the proposed method are compared with other published techniques to demonstrate the accuracy and validity of the proposed technique. The results of the IEEE 300-bus system show that the proposed method effectively managed to reduce the number of PMUs needed.
引用
收藏
页码:3124 / 3133
页数:10
相关论文
共 42 条
  • [1] 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
  • [2] Contingency-Constrained PMU Placement in Power Networks
    Aminifar, Farrokh
    Khodaei, Amin
    Fotuhi-Firuzabad, Mahmud
    Shahidehpour, Mohammad
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (01) : 516 - 523
  • [3] [Anonymous], MATH PROBL ENG
  • [4] [Anonymous], 2011, PROCT 2011 N AM POW
  • [5] [Anonymous], SWARM INTELLIGENCE
  • [6] [Anonymous], 1986, IEEE POWER ENG REV
  • [7] [Anonymous], 2005, P 2005 IEEE PES TRAN
  • [8] [Anonymous], 2011 IEEE PES C INN, DOI DOI 10.1109/ISGT-MIDEAST.2011.6220820
  • [9] [Anonymous], 2011, INT J ENG SCI TECH, DOI DOI 10.4314/IJEST.V3I3.6842
  • [10] Optimal PMU Placement by an Equivalent Linear Formulation for Exhaustive Search
    Azizi, Sadegh
    Dobakhshari, Ahmad Salehi
    Sarmadi, S. Arash Nezam
    Ranjbar, Ali Mohammad
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (01) : 174 - 182