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#PowerSystems

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MediaFaro Analysis

Heathrow closure: what caused the fire and why did it bring down the whole airport?

The closure of Heathrow Airport has caused chaos, leaving thousands of passengers stranded. More than 1,300 flights have been affected, about 120 of these were already in the air.

A panel of experts offer their insights – and consider the implications of such a major incident.

mediafaro.org/article/20250321

The Conversation UK · Heathrow closure: what caused the fire and why did it bring down the whole airport?By Kirk Chang, Barry Hayes, Chenghong Gu, Colin Manning, Hayley J. Fowler, Paul Cuffe, Sean Wilkinson
#Heathrow#Fire#Firefighting
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💧🌏 Greg Cocks

Recently Completed Geophysical Survey Will Help Protect Critical Infrastructure From Geomagnetic Storms And Space Weather
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usgs.gov/news/national-news-re <-- shared technical article
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[my other ½ is a space weather scientist, until I knew her I was not fully aware of all the risks and associated hazards associated with space weather]
#GIS #spatial #mapping #spaceweather #power #telecom #critical #infrastructure #risk #hazard #geomagnetic #geomagneticstorm #geomagnetism #minerals #geothermal #mining #earth #electricpower #powergrid #impacts #conductivity #USMTArray #magnetotellurics #geology #rocks #geophysics #spatialanalysis #spatiotemporal #array #USA #hazardanalysis #powersystems #transformers #powerfailures #lossofpower #blackouts #overloads
@USGS @NSF @nasa @EarthScope @NOAA

map - Complete USMTArray and community magnetotelluric surveys in North America as of June 27, 2024. Magnetotelluric sites are distributed across the continental US and are represented with hundreds of inverted triangles including orange (EarthScope), blue (MTArray), red (NRCan Lithoprobe), black (USGS) and clear (other surveys). Magetic observatories are indicated with stars, three red (NRCan) and six black (USGS). Ten USGS variometers are indicated with pink 4-point stars.
graphic / schematic - spaceweather possible impacts
photo - Northern Lights over high voltage powerlines
screenshot - NOAA space weather prediction center geoelectric field map model
Public
Dr. Chris Rackauckas :julia:

Is your software stack #quantum ready? The #julialang #sciml differential equation solvers are able to to not only target CPUs, GPUs, and IPUs with good performance, but quantum computers as well through the QuDiffEq.jl backend without changing your code. Check out this work where a group of researchers tested its accuracy for modeling power systems dynamics, showing its correctness and readiness for real-world DAEs!

arxiv.org/abs/2306.01961

arXiv.orgSolving Differential-Algebraic Equations in Power Systems Dynamics with Quantum ComputingPower system dynamics are generally modeled by high dimensional nonlinear differential-algebraic equations due to a large number of generators, loads, and transmission lines. Thus, its computational complexity grows exponentially with the system size. In this paper, we aim to evaluate the alternative computing approach, particularly the use of quantum computing algorithms to solve the power system dynamics. Leveraging a symbolic programming framework, we convert the power system dynamics' DAEs into an equivalent set of ordinary differential equations (ODEs). Their data can be encoded into quantum computers via amplitude encoding. The system's nonlinearity is captured by Taylor polynomial expansion and the quantum state tensor whereas state variables can be updated by a quantum linear equation solver. Our results show that quantum computing can solve the dynamics of the power system with high accuracy whereas its complexity is polynomial in the logarithm of the system dimension.
#quantumcomputing#dae#powersystems
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