6,121 research outputs found
Saturation properties of nuclear matter in the presence of strong magnetic field
Different saturation properties of cold symmetric nuclear matter in the
strong magnetic field have been considered. We have seen that for magnetic
fields about , {for both cases with and without
nucleon anomalous magnetic moments}, the saturation density and saturation
energy grow by increasing the magnetic field. It is indicated that the magnetic
susceptibility of symmetric nuclear matter becomes negative showing the
diamagnetic response especially at . We have found
that for the nuclear matter, the magnitude of orbital magnetization reaches the
higher values comparing to the spin magnetization. Our results for the
incompressibility show that at high enough magnetic fields, i.e. , {the softening of equation of state caused by Landau
quantization is overwhelmed by stiffening due to the magnetization of nuclear
matter.} We have shown that the effects of strong magnetic field on nuclear
matter may affect the constraints on the equation of state of symmetric nuclear
matter obtained applying the experimental observable.Comment: 16 pages, 1 table, 7 figures, European Physical Journal A 52 (2016)
accepte
Changes in Cascading Failure Risk with Generator Dispatch Method and System Load Level
Industry reliability rules increasingly require utilities to study and
mitigate cascading failure risk in their system. Motivated by this, this paper
describes how cascading failure risk, in terms of expected blackout size,
varies with power system load level and pre-contingency dispatch. We used Monte
Carlo sampling of random branch outages to generate contingencies, and a model
of cascading failure to estimate blackout sizes. The risk associated with
different blackout sizes was separately estimated in order to separate small,
medium, and large blackout risk. Results from secure models of the IEEE
RTS case and a 2383 bus case indicate that blackout risk does not always
increase with load level monotonically, particularly for large blackout risk.
The results also show that risk is highly dependent on the method used for
generator dispatch. Minimum cost methods of dispatch can result in larger long
distance power transfers, which can increase cascading failure risk.Comment: Submitted to Transmission and Distribution Conference and Exposition
(T&D), 2014 IEEE PE
Probe Branes Thermalization in External Electric and Magnetic Fields
We study thermalization on rotating probe branes in AdS_5 x S^5 background in
the presence of constant external electric and magnetic fields. In the AdS/CFT
framework this corresponds to thermalization in the flavour sector in field
theory. The horizon appears on the worldvolume of the probe brane due to its
rotation in one of the sphere directions. For both electric and magnetic fields
the behaviour of the temperature is independent of the probe brane dimension.
We also study the open string metric and the fluctuations of the probe brane in
such a set-up. We show that the temperatures obtained from open string metric
and observed by the fluctuations are larger than the one calculated from the
induced metric.Comment: 27 pages, 7 figure
Cascading Power Outages Propagate Locally in an Influence Graph that is not the Actual Grid Topology
In a cascading power transmission outage, component outages propagate
non-locally, after one component outages, the next failure may be very distant,
both topologically and geographically. As a result, simple models of
topological contagion do not accurately represent the propagation of cascades
in power systems. However, cascading power outages do follow patterns, some of
which are useful in understanding and reducing blackout risk. This paper
describes a method by which the data from many cascading failure simulations
can be transformed into a graph-based model of influences that provides
actionable information about the many ways that cascades propagate in a
particular system. The resulting "influence graph" model is Markovian, in that
component outage probabilities depend only on the outages that occurred in the
prior generation. To validate the model we compare the distribution of cascade
sizes resulting from contingencies in a branch test case to
cascade sizes in the influence graph. The two distributions are remarkably
similar. In addition, we derive an equation with which one can quickly identify
modifications to the proposed system that will substantially reduce cascade
propagation. With this equation one can quickly identify critical components
that can be improved to substantially reduce the risk of large cascading
blackouts.Comment: Accepted for publication at the IEEE Transactions on Power System
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