Neural-Tabu algorithm in optimal routing of distribution network considering reliability indices

This paper describes a Neural-Tabu algorithm approach to the optimal reconfiguration of distribution network. The optimal routing of distribution network should provide electricity to customers with quality, and this paper shows that optimal routing of distribution network can be obtained by a neural-Tabu algorithm while keeping constraints such as line power capacity, voltage drop and reliability indices. The neural-Tabu algorithm is a Tabu algorithm combined with neural network to find neighborhood solutions. This paper shows that not only the loss cost but also the reliability cost should be considered in distribution network reconfiguration to achieve the optimal routing. This paper also presents the advantages of the neural-Tabu algorithm against using the neural network algorithm only.