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Application of NSGA-II Algorithm to Generation Expansion Planning.
- Source :
-
IEEE Transactions on Power Systems . Feb2009, Vol. 24 Issue 1, p454-461. 8p. 4 Black and White Photographs, 7 Charts, 2 Graphs. - Publication Year :
- 2009
-
Abstract
- This paper describes use of a multiobjective optimization method, elitist nondominated sorting genetic algorithm version II (NSGA-II), to the generation expansion planning (GEP) problem. The proposed model provides for decision maker choice from among the different trade-off solutions. Two different problem formulations are considered. In one formulation, the first objective is to minimize cost; the second objective is to minimize sum of normalized constraint violations. In the other formulation, the first objective is to minimize investment cost; the second objective is to minimize outage cost (or maximize reliability). Virtual mapping procedure is introduced to improve the performance of NSGA-II. The GEP problem considered is a test system for a six-year planning horizon having five types of candidate units. The results are compared and validated. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08858950
- Volume :
- 24
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Power Systems
- Publication Type :
- Academic Journal
- Accession number :
- 39366359
- Full Text :
- https://doi.org/10.1109/TPWRS.2008.2004737