  Phasor measurement units (PMUs) enable better system monitoring and security
enhancement in smart grids. In order to enhance power system resilience against
outages and blackouts caused by extreme weather events or man-made attacks, it
remains a major challenge to determine the optimal number and location of PMUs.
In this paper, a multi-objective resilient PMU placement (MORPP) problem is
formulated, and solved by a modified Teaching-Learning-Based Optimization
(MO-TLBO) algorithm. Three objectives are considered in the MORPP problem,
minimizing the number of PMUs, maximizing the system observability, and
minimizing the voltage stability index. The effectiveness of the proposed
method is validated through testing on IEEE 14-bus, 30-bus, and 118-bus test
systems. The advantage of the MO-TLBO-based MORPP is demonstrated through the
comparison with other methods in the literature, in terms of iteration number,
optimality and time of convergence.
