Development of a composite system reliability evaluation program

Technical Report · Wed Aug 01 00:00:00 EDT 1990

OSTI ID:6628352

Pereira, M V.F.; Pinto, L M.V.G. ^[1]; Mazumdar, M; Yengar, S I ^[2]

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1. Power Systems Research, Inc., New York, NY (USA)
2. Pittsburgh Univ., PA (USA)

This report describes the methodology and computational results of a new composite reliability evaluation tool, CREAM. The methodology is based on Monte Carlo sampling of equipment availability (generators and circuits, including weather-dependent and common-cause or dependent outages) and load level (including system load or bus load vector scenario). The analysis of a samples scenario is based on the linearized power flow model. Remedial actions and load curtailment are carried out by an efficient linear programming routine. Besides calculating adequacy indices (LOLP and EPNS) both at system and bus levels, the program produces the sensitivity of the reliability indices with respect to incremental reinforcements of generation capacities and circuit capacities. The required number of Monte Carlo samples is reduced through a new variance reduction technique, which uses analytical models (such a single-bus generation capacity reliability model) as a regression variable.'' The component of reliability indices explained'' by these variables is then factored out'' of the Monte Carlo sampling scheme. The program is demonstrated in case studies with two 500-bus utility-derived test systems. 17 refs., 10 figs., 18 tabs.

• Research Organization: Electric Power Research Inst., Palo Alto, CA (USA); Power Systems Research, Inc., New York, NY (USA); Pittsburgh Univ., PA (USA)
• Sponsoring Organization: EPRI
• OSTI ID: 6628352
• Report Number(s): EPRI-EL-6926-Vol.1
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING
POLICY AND ECONOMY
24 POWER TRANSMISSION AND DISTRIBUTION
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
POWER SYSTEMS
EVALUATION
PLANNING
C CODES
COMPUTERIZED SIMULATION
E CODES
FORECASTING
L CODES
LOAD ANALYSIS
LOAD MANAGEMENT
MONTE CARLO METHOD
OPERATION
OUTAGES
POWER DISTRIBUTION SYSTEMS
POWER GENERATION
PROBABILITY
RELIABILITY
RESPONSE FUNCTIONS
SAMPLING
SENSITIVITY
STABILITY
TRANSIENTS
VARIATIONS
COMPUTER CODES
ENERGY SYSTEMS
FUNCTIONS
MANAGEMENT
SIMULATION
296000* - Energy Planning & Policy- Electric Power
240201 - Power System Networks
Transmission & Distribution- AC Systems- (1990-)
990200 - Mathematics & Computers