PROBABILITY DISTRIBUTION DEVELOPMENT AND APPLICATION IN DISTRIBUTION SYSTEM RELIABILITY EVALUATION
Date
2001
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ORCID
Type
Degree Level
Masters
Abstract
An electric power system should provide high quality electric supply with an acceptable level of reliability. The distribution system is the segment that links the bulk system and the individual customers. It plays an important role in providing reliable customer service and quantitative reliability assessment is an essential aspect in distribution system planning and operation.
The main objectives of this research work are to examine the utilization of the Monte Carlo simulation method to determine the probability distributions associated with the different load point and system performance indices and the convergence characteristics of the parameter distributions, and to examine the effect on the probability distributions of various changes in system parameters.
The research work is also concerned with the implications of the parameter probability distributions in establishing Performance Based Rates (PBR) and Customer Service Disruption Payments (CSDP) in deregulated power markets. The parameter probability distribution concepts developed in this research work can be used to pursue an appropriate balance between reliability improvements and cost saving strategies for power utilities.
Parameter distribution analysis and its potential utilization is a new aspect in distribution system development and decision making. This thesis illustrates the application of parameter distributions to a small test distribution system.
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Degree
Master of Science (M.Sc.)
Department
Electrical Engineering