This paper presents a reactive tabu search for service restorationin electric power distribution systems. Service restoration is anemergency control in distribution control centers to restoreout-of-service area as soon as possible when a fault occurs indistribution systems. Therefore, it requires fast computation time andhigh quality solutions for customers' satisfaction. The problem can beformulated as a combinatorial optimization problem to divide theout-of-service area to each power source. The effectiveness of theproposed method is demonstrated on typical service restoration problems.It is compared favorably with conventional tabu search, geneticalgorithm, and parallel simulated annealing. The results reveal thespeed and effectiveness of the proposed method for solving the problem
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