Title :
Economic Load Dispatch Optimization of Renewable Energy in Power System Using Genetic Algorithm
Author :
Warsono ; King, D.J. ; Özveren, C.S. ; Bradley, D.A.
Author_Institution :
Univ. of Abertay, Dundee
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.
Keywords :
genetic algorithms; load dispatching; power system economics; current trading mechanisms; economic load dispatch optimization; genetic algorithm; power system; renewable energy; Genetic algorithms; Power generation; Power generation economics; Power system economics; Power systems; Renewable energy resources; Solar power generation; Wind energy; Wind energy generation; Wind forecasting; economic load dispatch (ELD); genetic algorithm (GA); renewable energy; wind power generation;
Conference_Titel :
Power Tech, 2007 IEEE Lausanne
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2189-3
Electronic_ISBN :
978-1-4244-2190-9
DOI :
10.1109/PCT.2007.4538655
