A Multiobjective Evolutionary Programming Algorithm and Its Applications to Power Generation Expansion Planning

The generation expansion planning (GEP) problem is defined as the problem of determining WHAT, WHEN, and WHERE new generation units should be installed over a planning horizon to satisfy the expected energy demand. This paper presents a framework to determine the number of new generating units (e.g....

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on systems, man and cybernetics. Part A, Systems and humans Vol. 39; no. 5; pp. 1086 - 1096
Main Authors:	Meza, J.L.C., Yildirim, M.B., Masud, A.S.M.
Format:	Journal Article
Language:	English
Published:	IEEE 01.09.2009
Subjects:	Algorithms Analytical hierarchy process (AHP) Evolutionary algorithms evolutionary programming Fuels generation expansion planning (GEP) Genetic programming Geothermal power generation Hydraulic turbines Mathematical analysis Mathematical models multicriteria optimization Nuclear power generation operations research optimization methods Power generation Power generation planning Power system modeling Sensitivity analysis transmission expansion planning Wind energy generation Wind power generation Wind turbines
ISSN:	1083-4427, 1558-2426
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!