Network Restoration in Distribution Networks using Ant Colony Algorithm
نویسنده
چکیده
This paper introduces an ant colony search algorithm (ACSA) to solve the optimal network restoration problem. It is a population based approach that uses exploration of positive feedback as well as greedy search. The ACSA was inspired from natural behavior of the ant colonies on how they find the food source and bring them back to their nest by building the unique trail formation. By applying the ACSA, the near-optimal solution to the network restoration problem can be effectively achieved. The ACSA applies the state transition rule, local pheromone updating rule, and global pheromone-updating rule to facilitate the computation. The network restoration problem of three-feeder distribution system from the literature and one practical distribution network, apportion of Tamil Nadu Electricity Board (TNEB) are respectively, solved using the proposed ACSA method.
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