Title :
Optimal PMU placement: A comprehensive literature review
Author :
Yuill, William ; Edwards, A. ; Chowdhury, S. ; Chowdhury, S.P.
Author_Institution :
Electr. Eng. Dept., Univ. of Cape Town, Cape Town, South Africa
Abstract :
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.
Keywords :
integer programming; linear programming; power system measurement; deterministic algorithms; hybrid state estimation algorithm; integer linear programming; metaheuristic algorithms; network contingencies; optimal placement techniques; phased installation; phasor measurement unit integration; power network; time 3 year to 5 year; Current measurement; Genetic algorithms; Observability; Phasor measurement units; Power measurement; State estimation; Voltage measurement; Linear Programming; Optimal Placement Problem (OPP); Phasor Measurement Unit;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039376
