10,537 research outputs found
Optimal PMU Placement for Power System Dynamic State Estimation by Using Empirical Observability Gramian
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.Comment: Accepted by IEEE Transactions on Power System
Quantum memory and non-demolition measurement of single phonon state with nitrogen-vacancy centers ensemble
In diamond, the mechanical vibration induced strain can lead to interaction
between the mechanical mode and the nitrogen-vecancy (NV) centers. In this
work, we propose to utilize the strain induced coupling for the quantum
non-demolition (QND) single phonon measurement and memory in diamond. The
single phonon in a diamond mechanical resonator can be perfectly absorbed and
emitted by the NV centers ensemble (NVE) with adiabatically tuning the
microwave driving. An optical laser drives the NVE to the excited states, which
have much larger coupling strength to the mechanical mode. By adiabatically
eliminating the excited states under large detuning limit, the effective
coupling between the mechanical mode and the NVE can be used for QND
measurement of the single phonon state. Under realistic experimental
conditions, we numerically simulate the scheme. It is found that the fidelity
of the absorbing and emitting process can reach a much high value. The overlap
between the input and the output phonon shapes can reach .Comment: 7 pages, 3 figure
Prevention of OLED display damage due to charge accumulation
The disclosure describes techniques to protect an organic light emitting diode (OLED) display by discharging excess charge that gets accumulated on a display module. A conductive coating material is applied from the backside of a cover glass to a metal layer on the backside of the display. With the addition of the conductive coating material, excess charge is discharged through the system ground to avoid damage to the display panel
Introducing critical elements of cross-cultural scholarship development: A discussion towards a model
Theorizing existing literature, we present a model outlining five essential elements to guide cross-cultural scholarship practices. A scenario showcases how to apply these elements to practical situations
Cross-Scale Cost Aggregation for Stereo Matching
Human beings process stereoscopic correspondence across multiple scales.
However, this bio-inspiration is ignored by state-of-the-art cost aggregation
methods for dense stereo correspondence. In this paper, a generic cross-scale
cost aggregation framework is proposed to allow multi-scale interaction in cost
aggregation. We firstly reformulate cost aggregation from a unified
optimization perspective and show that different cost aggregation methods
essentially differ in the choices of similarity kernels. Then, an inter-scale
regularizer is introduced into optimization and solving this new optimization
problem leads to the proposed framework. Since the regularization term is
independent of the similarity kernel, various cost aggregation methods can be
integrated into the proposed general framework. We show that the cross-scale
framework is important as it effectively and efficiently expands
state-of-the-art cost aggregation methods and leads to significant
improvements, when evaluated on Middlebury, KITTI and New Tsukuba datasets.Comment: To Appear in 2013 IEEE Conference on Computer Vision and Pattern
Recognition (CVPR). 2014 (poster, 29.88%
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