Optimal Placement of PMUs by Integer Linear Programming
By Bei Gou. IEEE Transactions on Power Systems, 2008
342 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/571f5b3c9105e7e688b43026f6a58b49823e2d11
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In Control and Systems Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- A Framework for Phasor Measurement Placement in Hybrid State Estimation Via Gauss–Newton (2013, methodology): “More specifically, the work in [10] and [11] ensure observability by enforcing the algebraic invertibility of the linearized load-flow models or enhancing the numerical condition of the linear model [12].”
- Generalized Integer Linear Programming Formulation for Optimal PMU Placement (2008, methodology): “Based on the idea proposed in [7], formulation of the incomplete observability PMU placement problem can be studied using the similar modeling approach and solution method, without and with the considerations of zero injections.”
- Optimal PMU Placement for Power System Dynamic State Estimation by Using Empirical Observability Gramian (2014, methodology): “In [33] and [34], the performance of multiple optimal PMU placements obtained by mixed-integer programming [24], [25] are evaluated by using a stochastic estimate of the steady-state error covariance.”
- Reliability-Based Incremental PMU Placement (2014, background): “, the node without injecting any current [22].”