Optimal Multistage Scheduling of PMU Placement: An ILP Approach

By Devesh Dua, S. Dambhare, R. Gajbhiye, Shreevardhan A. Soman. IEEE Transactions on Power Delivery, 2008

431 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4f22eafe40d660fd220139fedf67c41185465b9a

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In Electrical and Electronic Engineering

1. Nikolaos P. Theodorakatos
2. Nikolaos M. Manousakis
3. George N. Korres
4. Feng Lin
5. Rajesh G. Kavasseri
6. Wenyuan Li
7. Xiao Li
8. Caisheng Wang

Citations in the corpus

• A Framework for Phasor Measurement Placement in Hybrid State Estimation Via Gauss–Newton (2013, methodology): “Numerical techniques such as genetic algorithms [22], [23], simulated-annealing [14], and integer linear programming [24] have also been applied in similar placement problems.”
• Optimal Placement of Phasor Measurement Units with Linear and Non-linear Models (2015, methodology): “The solution that maximizes the SORI index is denoted by bold characters.”
• Reliability-Based Incremental PMU Placement (2014, methodology): “However, the reliability of the observability provided by the PMUs has not been taken into account in the above PMU placement methods [4]–[9].”
• Joint Placement of Phasor and Power Flow Measurements for Observability of Power Systems (2011, methodology): “The PMU placement results (first two columns of Table II) agree with earlier reported results [5], [6], [15], thus validating the proposed formulation.”