DocumentCode :
1418175
Title :
Reliability analysis of electric utility SCADA systems
Author :
Bruce, A.G.
Author_Institution :
Trans Power NZ Ltd., New Zealand
Volume :
13
Issue :
3
fYear :
1998
fDate :
8/1/1998 12:00:00 AM
Firstpage :
844
Lastpage :
849
Abstract :
Electric utility SCADA systems must be highly reliable given the potential for the SCADA system to directly contribute to load curtailment. This paper presents an analysis of SCADA system reliability in terms of its expected, aggregate contribution to load curtailment on the power system. Expressing this aggregate in system minutes and applying an appropriate damage cost function then provides an annual cost measure of SCADA system reliability worth. A composite generation and transmission system reliability evaluation technique is used to perform the numerical analysis of the joint SCADA and power system model. This performs a Monte Carlo simulation and includes an optimal power flow for enumerating grid load curtailment states and analysis of SCADA system component connectivity to determine availability of SCADA control. The application of this analysis is illustrated in a comparison of two alternative SCADA architectures. Trans Power (New Zealand) has adopted a subtransmission SCADA architecture which utilises terminals operating off its national SCADA system. These terminals have replaced separate systems located in each area. The objective of the evaluation being to quantify the increased exposure to financial losses due to joint load curtailment
Keywords :
Monte Carlo methods; SCADA systems; control system analysis computing; economics; electricity supply industry; failure analysis; load shedding; power system analysis computing; power system control; power system measurement; power system reliability; Monte Carlo simulation; New Zealand; Trans Power; annual cost measure; computer simulation; damage cost function; electric utility SCADA systems; financial losses; grid load curtailment; optimal power flow; power system model; reliability analysis; reliability worth; Aggregates; Cost function; Performance evaluation; Power generation; Power industry; Power system analysis computing; Power system measurements; Power system modeling; Power system reliability; SCADA systems;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.708711
Filename :
708711
Link To Document :
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