Title :
Optimal generation expansion planning in IPP presence with HCGA
Author :
Shabani, Arash ; Hosseini, Hadi ; Karegar, Hossein Kazemi ; Jalilzadeh, Saeed
Author_Institution :
Dept. of Electr. Eng., Zanjan Univ., Zanjan
Abstract :
In this paper, the generation expansion planning (GEP) is studied in independent power producers (IPPs) presence. The important points of this study are to determine type and capacity of power plants and optimal power purchase price of independent producers. Decreasing the utility company costs and the amount of carbon dioxide (CO2) emission are the main objectives of this planning. Finally the feasibility of the proposed approach is demonstrated by using a test power system with hybrid coded genetic algorithm (HCGA).
Keywords :
electricity supply industry; genetic algorithms; power generation economics; power generation planning; pricing; HCGA; IPP; carbon dioxide emission; hybrid coded genetic algorithm; independent power producers; optimal generation expansion planning; optimal power purchase price; power plants; test power system; utility company costs; Carbon dioxide; Costs; Electricity supply industry; Genetic algorithms; Hybrid power systems; Nuclear power generation; Power demand; Power generation; Power system planning; System testing; Hybrid coded genetic algorithm; IPP; Optimal GEP; Optimal purchase price;
Conference_Titel :
Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International
Conference_Location :
Johor Bahru
Print_ISBN :
978-1-4244-2404-7
Electronic_ISBN :
978-1-4244-2405-4
DOI :
10.1109/PECON.2008.4762461
