Conference paper
Modified discrete PSO to increase the delivered energy probability in distribution energy systems
GECAD - Knowledge Eng. & Decision-Support Res. Centre, Polytech. of Porto (ISEP/IPP), Porto, Portugal1
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 fuzzy-probabilistic 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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2013 |
| Pages: | 146-153 |
| Proceedings: | 2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG) |
| ISBN: | 1467360015 , 1467360023 , 9781467360012 and 9781467360029 |
| ISSN: | 23267690 and 23267682 |
| Types: | Conference paper |
| DOI: | 10.1109/CIASG.2013.6611511 |
180 bus distribution network Equations Investment Load modeling Maintenance engineering Mathematical model Optimization PSO Reliability delivered energy probability discrete optimization distribution energy systems fuzzy membership functions fuzzy model fuzzy probabilistic modeling fuzzy systems investment modified discrete PSO optimization model particle swarm optimisation power distribution economics reliability statistical failure
