Reliability evaluation of interconnected power systems
Thesis/Dissertation
·
OSTI ID:6908058
This Dissertation introduces the extended decomposition-simulation approach for reliability evaluation of interconnected electric power systems. This approach is can modeling critical issues in an interconnected electric power system such as transmission capacities of interconnections, multi-area load variation, system operating considerations generating unit planned outages, and can be used to compute loss of load probability and frequency of capacity deficiency indices. The approach is around the original decomposition-simulation for reliability evaluation of interconnected electric power systems, and some algorithms introduced in this Dissertation. Algorithms are introduced for (1) interconnected system load modeling, (2) building area generation system models with frequency of transitions from higher to lower capacity states, (3) calculating frequency indices in the decomposition-simulation approach, and (4) modeling of generating unit planned outages in the decomposition-simulation approach. These algorithms, also the approach, are described and tested, and their merit and significance discussed.
- Research Organization:
- Texas A and M Univ., College Station, TX (USA)
- OSTI ID:
- 6908058
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
24 POWER TRANSMISSION AND DISTRIBUTION
240100 -- Power Systems-- (1990-)
29 ENERGY PLANNING, POLICY, AND ECONOMY
296000* -- Energy Planning & Policy-- Electric Power
ALGORITHMS
ELECTRIC POWER
ENERGY SYSTEMS
INTERCONNECTED POWER SYSTEMS
LOADING
MATERIALS HANDLING
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
POWER
POWER DISTRIBUTION SYSTEMS
POWER SYSTEMS
RELIABILITY
240100 -- Power Systems-- (1990-)
29 ENERGY PLANNING, POLICY, AND ECONOMY
296000* -- Energy Planning & Policy-- Electric Power
ALGORITHMS
ELECTRIC POWER
ENERGY SYSTEMS
INTERCONNECTED POWER SYSTEMS
LOADING
MATERIALS HANDLING
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
POWER
POWER DISTRIBUTION SYSTEMS
POWER SYSTEMS
RELIABILITY