Multi-Agent Systems for Power Grids Disaster Relief
Jean-Pierre Lienou and Pierre F. Tiako
Each year, high levels of power outage are reported from nearly all communities in the united states as a result of natural disasters like ice storms, hurricane. For instance, hurricane sandy brought high winds and coastal flooding on a large portion of eastern United States, leaving about 8 million of the population without power . Another example is the storm which came ashore near Atlantic City, New Jersey as a Category 1 hurricane, ultimately left scores of homes and businesses without power in New Jersey (2.7 million), New York (2.2 million), Pennsylvania (1.2 million), Connecticut (620,000), Massachusetts (400,000), Maryland (290,000), West Virginia (268,000), Ohio (250,000), and New Hampshire (210,000). Power outages were also reported in many other states like Virginia, Maine, Rhode Island, Vermont, and the District of Columbia .
Dr. Jean Pierre Lienou
Prof. Dr. Pierre F. Tiako
Storms do not only cause power outages, they also knock down hundreds of power poles , destroy miles of electric lines and dozens of power transformers . By their nature, electric power grids are highly dynamic, non-linear network, open and widely distributed, which make them not only very vulnerable to natural disasters but also need a lot of professional crews at once to repair or replace components of the grid. It is easier for a company providing power to call in crews on standby to restore an electrical grid with small scale damages than one destroyed across counties. Natural disasters, like the ones described above [3, 4] may cause the necessity for additional crews from other areas, and this crew may not be necessary familiar with the job and/or the local city code must be called in. Such additional crews need help and assistance to properly do unscheduled jobs randomly assigned to them due to disaster emergency response.
The kind of help computer scientists can bring
to the table for technology repairs, in other to assist in the context of electrical
power grid disaster are still missing or are in thier early stages [1, 2], or dealt most of the time with damage assessment and
planning or prevention [7, 8].
The main focus of this research is to use artificial intelligence and multi-agent systems as core tools for assisting disasters, help power grid crews in analyzing, diagnosing, repairing or replacing power grid component systems.
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 Superstorm Sandy: State-by-state snapshot. www.cbsnews.com. October 30, 2012.
 Assessing the Damage from Hurricane Sandy. www.nytimes.com. October 29, 2012.
 APS: 485 Phoenix-Area Power Poles Knocked Down by Storms This Season. www.kjzz.org September 21, 2015.
 Storm knocks down power lines in Harrah. www.koco.com. November 6, 2015.
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