Optimal PMU placement: A comprehensive literature review
W Yuill, A Edwards, S Chowdhury… - 2011 IEEE Power and …, 2011 - ieeexplore.ieee.org
W Yuill, A Edwards, S Chowdhury, SP Chowdhury
2011 IEEE Power and Energy Society General Meeting, 2011•ieeexplore.ieee.orgThis review outlines the benefits that Phasor Measurement Unit (PMU) integration has on
the power network. It reviews past optimal placement techniques covering meta-heuristic
and deterministic algorithms. Three best performing algorithms are chosen in terms of
minimum required number of PMUs for full system observability. It concludes that Integer
Linear Programming (ILP) is the most adaptable mathematical form to model a network. ILP
shows the most adaptability in terms of modeling network contingencies and phased …
the power network. It reviews past optimal placement techniques covering meta-heuristic
and deterministic algorithms. Three best performing algorithms are chosen in terms of
minimum required number of PMUs for full system observability. It concludes that Integer
Linear Programming (ILP) is the most adaptable mathematical form to model a network. ILP
shows the most adaptability in terms of modeling network contingencies and phased …
This review outlines the benefits that Phasor Measurement Unit (PMU) integration has on the power network. It reviews past optimal placement techniques covering meta-heuristic and deterministic algorithms. Three best performing algorithms are chosen in terms of minimum required number of PMUs for full system observability. It concludes that Integer Linear Programming (ILP) is the most adaptable mathematical form to model a network. ILP shows the most adaptability in terms of modeling network contingencies and phased installation of PMUs. Further work will focus on developing a hybrid state estimation algorithm for improving state estimation on a medium term basis of 3-5 years.
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