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Towards a Baltic Sea Region Strategy in Critical ... - Helsinki.fi

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CRITICAL INFRASTRUCTURE PROTECTION IN THE BALTIC SEA REGION<br />

powerless customers may vary locally from all to none. Accord<strong>in</strong>g to a model,<br />

roughly 40 % of the customers <strong>in</strong> the area will be powerless at the zero hour (the<br />

time when the number of powerless customers no longer <strong>in</strong>creases). After 12<br />

hours, the percentage has dropped to 10 %. In 48 hours, all customers have gotten<br />

their power back.<br />

A big impact on the time of recovery is the amount of required clear<strong>in</strong>g<br />

(fallen trees and other debris) preced<strong>in</strong>g the actual repair<strong>in</strong>g actions. The number<br />

and severity of the damages as well as the number of available repair personnel<br />

also affect the recovery time.<br />

The assumed rate of occurrence of a storm correspond<strong>in</strong>g to a class I major<br />

storm is once every <strong>fi</strong>ve years.<br />

Customers without electricity<br />

Time (h)<br />

Figure II—9 Customers without electricity <strong>in</strong> class II major storm. (Partanen<br />

et al. 2006) 45<br />

A class II major storm is a disturbance that leaves customers without power for a<br />

maximum of <strong>fi</strong>ve days, given the current network structure and available<br />

resources. The affected area normally covers the entire network of the power<br />

distribution company and there is little local variation. The only exception is the<br />

customers connected to the ground cable networks <strong>in</strong> cities and population centres;<br />

they are normally not affected. Accord<strong>in</strong>g to a model roughly 50 % of the<br />

customers will be powerless at the zero hour. After 12 hours, the percentage has<br />

dropped to 23 %. With<strong>in</strong> a day, roughly 90 % of the customers will have their<br />

power back; however, it may take as long as 120 hours before all customers have<br />

been reconnected. In addition to the class I impacts, the recovery time is ma<strong>in</strong>ly<br />

affected by three factors:<br />

45<br />

Mathematical model is <strong>fi</strong>tted to the statistical <strong>in</strong>formation on Unto -storm from Suur-Savon<br />

Sähkö electricity company’s <strong>in</strong>formation system. Actual percentage of customers <strong>in</strong> coloured<br />

po<strong>in</strong>ts and <strong>fi</strong>tted function <strong>in</strong> black<br />

78 NORDREGIO REPORT 2007:5

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