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Measurement data from smart meters installed at customers' load points are transferred from multiple data aggregation points (DAPs) to a local hub. This device serves as a master gateway for a neighborhood area network (NAN).Thus, the unavailability of a DAP will result in loss of data related to energy usage and measurement for all smart meters associated with the failed DAP.As a result, various DMS functions that use these data may be compromised, for example, energy billing and state estimation (SE). This paper proposes a

 This paper proposes a methodology for meter placement for state estimation in distribution networks. The proposed methodology considers that the meter placement is carried out including the unavailability of multifunctional meters. This formulation of the allocation problem prevents the accuracy of the state estimator from being degraded by failures in the meters. Consequently, more accurate estimates of power quality indexes associated with compliance voltage or voltage unbalance can be obtained. The meter placement was performed using a multi-objective formulation that maximizes the accuracy of the estimator and minimizes the number of meters installed in the distribution network. This optimization problem was solved using a fuzzy multiobjective optimization strategy combined with binary particle swarm optimization algorithm. In addition, the effect of the correlation between measurements was included. The results of the tests showed that the proposed methodology obtained good quality solutions to the meter placement problem under scenarios of unavailability of measurements.

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