DocumentCode :
2721279
Title :
Stochastic integrated generation and transmission planning method with gradient radar step (GRS)
Author :
Moon, Guk Hyun ; Joo, Sung Kwan ; Hur, Don ; Jeong, Hae Sung ; Ryu, Heon Su ; Cho, Kang Wook
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear :
2009
fDate :
26-30 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a stochastic optimization method to solve an integrated generation and transmission planning problem under uncertainty. The two-stage decomposition method is combined with gradient radar step (GRS) to enhance the computational efficiency. The numerical results are presented to validate the effectiveness of the proposed method.
Keywords :
power generation planning; power transmission planning; stochastic programming; gradient radar step; stochastic generation planning method; stochastic optimization method; stochastic transmission planning method; two-stage decomposition method; Costs; Fuels; Investments; Linear programming; Power generation; Power system planning; Power transmission lines; Radar; Stochastic processes; Uncertainty; Integrated generation and transmission planning; gradient radar step; stochastic optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5230-9
Electronic_ISBN :
978-1-4244-5230-9
Type :
conf
DOI :
10.1109/TD-ASIA.2009.5356983
Filename :
5356983
Link To Document :
بازگشت