Title :
Reliability analysis of electric utility SCADA systems
Author_Institution :
Trans Power NZ Ltd., New Zealand
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 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; costing; economics; electricity supply industry; load shedding; power system control; power system reliability; Monte-Carlo simulation; SCADA systems; annual cost measure; availability; control simulation; damage cost function; electric utility; financial losses; load curtailment; optimal power flow; power network control; 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;
Conference_Titel :
Power Industry Computer Applications., 1997. 20th International Conference on
Conference_Location :
Columbus, OH
Print_ISBN :
0-7803-3713-1
DOI :
10.1109/PICA.1997.599397