Abstract –Power system restoration is an important task for system operators. Therefore, much research has been carried out to optimize restoration process, among which, recognition and access to the network skeleton during restoration has been considered as a dominant approach. If the main skeleton-network is recognized appropriately, then reconfiguration and restoring major parts of the network can be performed at the shortest possible time. Restructuring in power industry has introduced new challenges to power system. While, restructuring has affected power system operation seriously, little attention has been paid to restoration process as an extra ordinary mode of system operation in a market based environment. One approach for restoration problem is based on performance indices introduced to rank nodes of the network. In this paper, a new method based on a comprehensive ranking index for electrification of network buses during restoration process is proposed which results in reduction of both the interruption cost and restoration cost. In our ranking approach, both the network configuration and the value of lost load at different buses of the network have been considered in a market based operated system. In the method, the dominant network skeleton for restoration is distinguished such that the restoration time for the rest of network from this skeleton network will be reduced. Our simulation results confirm the validity and efficacy of our proposed approach in different situations, especially in a market-based environment. We have used the Genetic Algorithm (GA) to solve the optimization problem. The method has been tested on IEEE 30-bus network. Results show that this method in compare with similar methods has a better performance.

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