A power grid resilience system monitors the status of a power grid and the threats to its function. These machine learning monitoring systems manage all parts of the power grid: the generation centers, the substations that adjust voltage, the transmission lines, and the distribution centers.
Also called electrical grids, these systems can cover individual buildings, cities, nations, or even more than one nation.
A good power grid resilience system makes sure that people get the power they need. It can also prepare for adverse events that result in outages by warning citizens of expected outages, prioritizing energy to emergency services, alerting utilities crew to damaged equipment for swift repair, and more.
Important internal data includes a power grid map and data on the companies and personnel that support it. Smart meter technology may also be necessary in this case, as they provide real-time data and alerts to utilities companies. Scheduled or predicted repair data would also improve the power grid resilience system.
Essential external data for this system includes vegetation, land cover, and population data; additionally important are historical and current weather and natural disaster data.
Additional data may include GPS data on utility crew vehicles so the nearest team can be routed to damaged equipment. This data can also help crew avoid routes damaged by storms or other adverse weather events.
Another potentially useful data source comes from competitor research: after all, other energy companies or municipalities may be doing something that you can replicate.
There are many challenges to a power grid resilience system, mostly related to scale and to integration. Scale is an obvious challenge but integration more tricky, especially as every power grid faces its own integration problems. In other words, one municipal power grid may have multiple energy sources—say, solar and hydroelectric—via a multitude of private and public companies and possibly a mix of old and new infrastructure.
Finally, a resilient power grid must stay secure against malicious attacks from humans.
Cornell University arXiv: Improving Power Grid Resilience Through Predictive Outage Estimation
NREL: Predicting Storm Outages Through New Representations of Weather and Vegetation
Hewlett Packard: Predicting Service Outage Using Machine Learning Techniques
“COVID-19 presents a unique problem — a human resource problem for utilities trying to send their workers into the field to perform repairs, maintenance, and other activities,” said Kandaperumal. “Since the distribution grid serves critical infrastructure that is directly tied to the health and safety of the nation and its citizens, utility workers are essential workers.”
At the student competition, Kandaperumal presented his work on supplementing the decision-making tool with an algorithm that can ensure utility workers’ occupational safety in the field. The tool considers power grid damage due to extreme events, needed repairs, crew requirements, and COVID-19 information to determine the best route the crew can take to complete the repairs while keeping themselves clear of COVID-19 hotspots.
IBM PAIRS Services provides queryable geospatial and temporal data in the form of maps, satellite images, weather data, drone data, and other data.
Czech Republic – Map of Administrative Division 1:1,000,000 (MSR 1M) is based on the map of the Czech Republic 1:1,000,000 and the content is connected to the map “Czech Republic – Map of Administrative Division 1:500,000”. It captures the entire territory of the Czech Republic on one map sheet, ie the area of 78886 km2. Paper dimensions are 53.5 x 35 cm, dimensions of map face are 49.5 x 31 cm. MSR 1M contains boundaries, settlements, road network, map lettering, filled areas of districts and map legend. The boundaries are distinguished on national, regional, district and municipalities with extended powers boundaries. The map lettering includes names of settlements with a distinction of the capital of the Czech Republic, statutory towns, region and district towns, towns,
Map of Administrative Division of the Czech Republic 1:2,000,000 is printed out on paper of A4 form. It contains boundaries, settlements and map lettering. The boundaries are distinguished on national, regional, district and municipalities with extended powers boundaries. The map lettering includes names of the capital Prague, names of region and district towns, name of the map and the map scale with tirage data, the data of graphic scale and the code list of regions. Particular regions are distinguished by colour of filled areas, municipalities with extended powers are distinguished by the shades of colour of the relevant region. Rear side of the map contains a list of municipalities with extended powers arranged by self-governing regions.
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Czech Republic – Map of Administrative Division 1:500,000 (MSR 500) captures the entire territory of the Czech Republic on one map sheet, ie the area of 78886 km2. Dimensions of paper are 105 x 68.5 cm, map face dimensions are 99 x 62.5 cm. The map contains boundaries, settlements, map lettering, filled areas of regions and administrative districts of municipalities with extended authority and map legend. Boundaries are distinguished on national, regional, boundaries of districts, administrative boundaries in Capital City of Prague, boundaries of municipalities with extended autority, boundaries of statutory towns, boundaries of towns and municipalities. Map lettering includes official names of settlements with population more than 1,000 inhabitants, names of municipalities with extended authority and municipalities with deputed council, names of districts, list