DocumentCode :
1457746
Title :
Optimal Placement of Phasor Measurement Units via Convex Relaxation
Author :
Kekatos, Vassilis ; Giannakis, Georgios ; Wollenberg, B.
Author_Institution :
ECE Dept., Univ. of Minnesota, Minneapolis, MN, USA
Volume :
27
Issue :
3
fYear :
2012
Firstpage :
1521
Lastpage :
1530
Abstract :
Instrumenting power networks with phasor measurement units (PMUs) facilitates several tasks including optimum power flow, system control, contingency analysis, visualization, and integration of renewable resources, thus enabling situational awareness-one of the key steps toward realizing the smart grid vision. The installation cost of PMUs currently prohibits their deployment on every bus, which in turn motivates their strategic placement across the power grid. As state estimation is at the core of grid monitoring, PMU deployment is optimized here based on estimation-theoretic criteria. Considering both voltage and incident current readings per PMU-instrumented bus and incorporating conventionally derived state estimates under the Bayesian framework, PMU placement is formulated as an optimal experimental design task. To bypass the combinatorial search involved, a convex relaxation is developed to obtain solutions with numerical optimality guarantees. In the tests performed on standard IEEE 14-, 30-, and 118-bus benchmarks, the proposed relaxation approaches and oftentimes attains the optimum PMU placement.
Keywords :
phasor measurement; renewable energy sources; smart power grids; Bayesian framework; IEEE 118-bus benchmarks; IEEE 14-bus benchmarks; IEEE 30-bus benchmarks; contingency analysis; convex relaxation; estimation-theoretic criteria; grid monitoring; optimal placement; optimum power flow; phasor measurement units; power grid; power networks; renewable resources; smart grid vision; state estimation; system control; Covariance matrix; Current measurement; Observability; Phasor measurement units; State estimation; Vectors; Gradient projection method; SCADA measurements; maximum a-posteriori estimation; optimal experimental design; phasor measurement units; semidefinite programming;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2012.2185959
Filename :
6157670
Link To Document :
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