Metering system planning for state estimation via evolutionary algorithm and HTΔ matrix considering SCADA and PMU measurements

Some years ago an efficient methodology for SCADA metering system planning was developed. The methodology enables the design of Reliable Metering Systems (RMSs) for state estimation purposes (i.e., observable metering systems free from critical measurements, critical sets and critical Remote Terminal Units), minimizing investment costs. It is based on Evolutionary Algorithms (EAs) and the analysis of the H
_Δ
matrix. This paper reports on the extension of this methodology for the incorporation of synchronized phasor measurements, which are provided by Phasor Measurement Units. The aim is to obtain an efficient methodology that enables the design of RMSs considering the existence of both non-synchronized SCADA measurements and synchronized phasor measurements, minimizing investment costs. To demonstrate the efficiency of the proposed methodology, some of several test results of its application in the IEEE 30-bus and 57-bus systems will be presented. Some results will be compared to those obtained by other methodologies.