DocumentCode :
135532
Title :
Metering system planning for state estimation via evolutionary algorithm and HTΔ matrix considering SCADA and PMU measurements
Author :
Bozz, A.A.C. ; Vigliassi, M.P. ; London, Joao B. A.
Author_Institution :
Dept. of Electr. Eng., Univ. de Sao Paulo - EESC/USP, Sao Carlos, Brazil
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
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 HΔ 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.
Keywords :
IEEE standards; Jacobian matrices; SCADA systems; cost reduction; evolutionary computation; phasor measurement; power system planning; power system reliability; power system state estimation; smart meters; EA; HTΔ matrix analysis; IEEE 30-bus system; IEEE 57-bus system; Jacobian matrix; PMU measurement; RMS; SCADA metering system planning; evolutionary algorithm; investment cost minimization; nonsynchronized SCADA measurement; phasor measurement unit; reliable metering system; state estimation; synchronized phasor measurement; Investment; Observability; Phasor measurement units; Power measurement; Power systems; State estimation; Voltage measurement; Evolutionary Algorithms; Metering system; Power systems; State Estimation; Synchronized Phasor Measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939429
Filename :
6939429
Link To Document :
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