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Advisor(s)
Abstract(s)
This paper proposes a PSO based approach to increase
the probability of delivering power to any load point by
identifying new investments in distribution energy systems. The
statistical failure and repair data of distribution components is
the main basis of the proposed methodology that uses a fuzzyprobabilistic
modeling for the components outage parameters.
The fuzzy membership functions of the outage parameters of
each component are based on statistical records. A Modified
Discrete PSO optimization model is developed in order to
identify the adequate investments in distribution energy system
components which allow increasing the probability of delivering
power to any customer in the distribution system at the minimum
possible cost for the system operator. To illustrate the application
of the proposed methodology, the paper includes a case study
that considers a 180 bus distribution network.
Description
Keywords
Discrete optimization Distribution energy systems Fuzzy model PSO Reliability
Pedagogical Context
Citation
Publisher
IEEE
