Electrical Distribution network service restoration in Smart grids using ACO-Fuzzy Approach

Smart cities form the benchmark for the futuristic engineering trends in the field of electrical distribution system. A futuristic venture into these Smart cities required a solution to most complex solution which shall going to be a challenge to the power engineers. The most reliable solution to these complex problems are the application of Artificial Intelligence in the most refine manner. Only the successful application of artificial intelligence techniques in the everyday use will form the backbone for these cities. This paper proposes an AI based algorithm for the application in the field of Electrical Distribution system. Ant colony based optimization algorithm is used to realize how the smart cities grid is going to respond to the contingencies arising in the distribution network. A fuzzy logic based input module is used for getting the best appropriate result for the optimization problem. The algorithm is applied on the IEEE 30 bus system within the Mi-Power software paradigm.