Mathematics > Optimization and Control
[Submitted on 25 May 2014 (v1), last revised 7 Oct 2014 (this version, v4)]
Title:Optimal PMU Placement for Power System Dynamic State Estimation by Using Empirical Observability Gramian
View PDFAbstract:In this paper the empirical observability Gramian calculated around the operating region of a power system is used to quantify the degree of observability of the system states under specific phasor measurement unit (PMU) placement. An optimal PMU placement method for power system dynamic state estimation is further formulated as an optimization problem which maximizes the determinant of the empirical observability Gramian and is efficiently solved by the NOMAD solver, which implements the Mesh Adaptive Direct Search (MADS) algorithm. The implementation, validation, and also the robustness to load fluctuations and contingencies of the proposed method are carefully discussed. The proposed method is tested on WSCC 3-machine 9-bus system and NPCC 48-machine 140-bus system by performing dynamic state estimation with square-root unscented Kalman filter. The simulation results show that the determined optimal PMU placements by the proposed method can guarantee good observability of the system states, which further leads to smaller estimation errors and larger number of convergent states for dynamic state estimation compared with random PMU placements. Under optimal PMU placements an obvious observability transition can be observed. The proposed method is also validated to be very robust to both load fluctuations and contingencies.
Submission history
From: Junjian Qi [view email][v1] Sun, 25 May 2014 18:05:45 UTC (107 KB)
[v2] Mon, 4 Aug 2014 02:56:01 UTC (291 KB)
[v3] Mon, 8 Sep 2014 15:42:45 UTC (1,133 KB)
[v4] Tue, 7 Oct 2014 01:34:03 UTC (1,133 KB)
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