Generalized Integer Linear Programming Formulation for Optimal PMU Placement
By Bei Gou. IEEE Transactions on Power Systems, 2008
541 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/8ee473aa0fe420f6c28d40cb79fef14ef9e5671d
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In Electrical and Electronic Engineering
- Rajesh G. Kavasseri
- George N. Korres
- Nikolaos M. Manousakis
- Nikolaos P. Theodorakatos
- Sudarshan K. Srinivasan
- Bei Gou
- Feng Lin
- Wenyuan Li
In Safety, Risk, Reliability and Quality
- Rajesh G. Kavasseri
- Nikolaos M. Manousakis
- George N. Korres
- Sudarshan K. Srinivasan
- Bei Gou
- Nikolaos P. Theodorakatos
Citations in the corpus
- Reliability-Based Incremental PMU Placement (2014, background): “According to the definition of node observability in [5], a”
- Optimal Placement of Phasor Measurement Units with Linear and Non-linear Models (2015, background): “A generalized ILP formulation considering different cases of redundant PMU placement, complete and incomplete observability and the impact of zero injections, is suggested in [10].”
- Joint Placement of Phasor and Power Flow Measurements for Observability of Power Systems (2011, background): “The PMU placement results (first two columns of Table II) agree with earlier reported results [5], [6], [15], thus validating the proposed formulation.”
- Unified PMU Placement for Observability and Bad Data Detection in State Estimation (2014, methodology): “lowing integer linear programming (ILP) model was proposed in [7]: Fig.”
- A Weighted Least Squares Algorithm for Optimal PMU Placement (2013, background): “An integer linear programming approach was proposed in [4] and subsequently extended in [5] to address cases of redundancy, partial observability, and existing conventional measurements.”
- Redundant Observability PMU Placement in the Presence of Flow Measurements Considering Contingencies (2013, unknown): “Reference [12] presents an integer linear pro-”