Research on the method of optimal PMU placement

Jian-jun Xu, Yan-chao Xu, Li-mei Yan, Hai-long Zhao, Zhi-gang Sun, Li-li Bai, Ming-xia Xie


Taking the full network observability of power
system and the least number of PMU as objective, to
appearing fault situation in the grid, this paper proposes
Differential Evolution and Particle Swarm Optimization
(DEPSO) algorithm in view of the system failure rate. The
improved DEPSO algorithm is global optimization, the
algorithm takes the constraint condition of fault rate into
account during the course of seeking optimal solutions. At
the end, through the examples show that the algorithm
compares with the existing optimization methods, which can
reduce the number of PMU configuration and achieve
completely observability of the system, at the same time, and
stable operation of the system, through the simulation
results verify feasibility and valibity of the algorithm.


PMU; observability; DE algorithm; PSO algorithm; optimal placement

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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