This paper presents the mixed integer linear programming model for determining optimal number, type and location of remotely controlled and supervised devices in distribution networks in the presence of distributed generators. The proposed model enables consideration of a number of different devices simultaneously (remotely controlled circuit breakers/reclosers, sectionalizing switches, remotely supervised fault passage indicators) along with all costs and benefits relevant for determining the best network automation strategy. The obtained numerical results emphasize the importance of consideration of different types of automation devices simultaneously and show that the proposed approach has a potential to improve the process of determining of the best automation strategy in real life distribution networks.Index Terms-automation, distribution networks, mixed integer linear programming.I.
In this paper is proposed mixed integer linear programming based approach for determining the optimal number, type, and location of remotely controlled and supervised automation devices in distribution networks where island operation of DGs is allowed. The proposed approach enables simultaneous consideration of different types of automation devices (sectionalizing switches, recloseres, fault passage indicators (FPIs)) taking into consideration all relevant costs that influence the selection of the best automation strategy. Simultaneously, the island operation of DGs, i.e. possibility of creating islands is considered in determining the optimal number, type and location of automation devices.
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