Title :
Multi-period generation expansion planning using Genetic Algorithm
Author :
Jalilzadeh, Saeid ; Shabani, Arash ; Azadru, Alahverdi
Abstract :
In this paper, a model for multi-period generation expansion planning (GEP) is presented. The proposed model is able to present a clear perspective to government for investment in generation. Some limits in fuel and environmental emission are also considered. Genetic Algorithm (GA) is used to optimize the results. Finally, the feasibility of this approach is demonstrated using a test power system.
Keywords :
genetic algorithms; power generation economics; power generation planning; GEP; environmental emission; genetic algorithm; multiperiod generation expansion planning; power system test; Fuels; Gallium; Government; Investments; Planning; Power transmission lines; Genetic algorithm; Multi-period GEP; environmental emission; fuel;
Conference_Titel :
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2010 International Congress on
Conference_Location :
Moscow
Print_ISBN :
978-1-4244-7285-7
DOI :
10.1109/ICUMT.2010.5676613
