Reliability Assessment of Power Generation Systems Using Intelligent Search Based on Disparity Theory
The reliability of the generating system adequacy is evaluated based on the ability of the system to satisfy the load demand. In this paper, a novel optimization technique named the disparity evolution genetic algorithm (DEGA) is proposed for reliability assessment of power generation. Disparity evo...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/20435/ http://umpir.ump.edu.my/id/eprint/20435/ http://umpir.ump.edu.my/id/eprint/20435/ http://umpir.ump.edu.my/id/eprint/20435/1/Reliability%20assessment%20of%20power%20generation%20systems%20using%20intelligent%20search%20based%20on%20disparity%20theory.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/20435/http://umpir.ump.edu.my/id/eprint/20435/
http://umpir.ump.edu.my/id/eprint/20435/
http://umpir.ump.edu.my/id/eprint/20435/1/Reliability%20assessment%20of%20power%20generation%20systems%20using%20intelligent%20search%20based%20on%20disparity%20theory.pdf