Integration of the shortest path finding algorithms with a multi agent approach for power system restoration

Abstract

Power system restoration following a partial or total blackout is one newlineof the most important tasks for power system operators It is a complex newlineprocess that restores the system back to normal after an extensive outage of newlinethe system Due to a combination of unforeseen circumstances there is a newlineremote possibility of a system wide outage and it is very important not only newlineto minimize power failure but also restore the power system network quickly newlineand safely During this stressful situation to reduce shortage of power newlinesupply proper switching of power lines is required The efficient switching newlineoperations require the identification of optimal path for the power flow in the newlinenetwork A thriving restorative path search guidance tool will be a welcome newlineadvantage The objective of this work is to reconfigure the de energized newlinenetwork by maximizing the amount of power restored through the optimal path newline newline