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|Title: ||Economic load dispatch optimization of renewable energy in power system using genetic algorithm|
King, David J.
Özveren, Cüneyt Süheyl
Bradley, David A.
|Affiliation: ||University of Abertay Dundee. School of Computing & Engineering Systems|
|Keywords: ||Economic load dispatch (ELD)|
Genetic algorithm (GA)
Wind power generation
|Issue Date: ||2007|
|Publisher: ||Institute of Electrical and Electronics Engineers (IEEE)|
|Type: ||Conference Paper|
|Rights: ||Published version (c)IEEE, available from http://dx.doi.org/10.1109/PCT.2007.4538655|
|Citation: ||Warsono, et al. 2007. Economic load dispatch optimization of renewable energy in power system using genetic algorithm. IEEE Power Tech 2007 Conference, Lausanne, Switzerland, July 1-5, 2007. pp.2174-2179. Available from http://dx.doi.org/10.1109/PCT.2007.4538655|
|Abstract: ||The inclusion of a significant amount of renewable energy into power systems has resulted in additional constraints on economic load dispatch (ELD) to accommodate the intermittent nature of the output. This condition may not match with system load demand or current trading mechanisms in a power system. A genetic algorithm (GA) method using 'negative load' and 'inclusive' approach is proposed and discussed.|
|Appears in Collections:||Computing & Engineering Systems Collection|
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