Optimal placement of manual and remote-controlled switches based on the Pareto front

What is it about?

A model based on mixed-integer linear programming (MILP) for determining the optimal number of manual switches (MSs) and remote-controlled switches (RCSs) to be placed on the system nodes. The analysis relies on obtaining the Pareto front between cost and the expected energy not supplied (EENS) index. The method allows the simultaneous placement of both types of switches, thus being an important tool that can be incorporated into the decision-making process while taking into account two conflicting objectives, that is, cost and reliability.

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Why is it important?

This work presents an MILP-based model for the optimal placement of MSs and RCSs in power distribution networks. Considering that such an optimization problem aims at increasing reliability indices, one could obtain the Pareto front between cost and EENS. The introduced model allows the simultaneous placement of both types of switches while taking into account that the cost increases as more elements are incorporated into the analysis, resulting in the reduction of EENS.