DocumentCode :
1269597
Title :
Novel models and algorithms for generating unit location optimization
Author :
Xia, Qing ; Song, Yong-hua ; Kang, Chongqing ; Xiang, Niande
Author_Institution :
Dept. of Electr. Eng. & Electron., Brunel Univ., Uxbridge, UK
Volume :
12
Issue :
4
fYear :
1997
fDate :
11/1/1997 12:00:00 AM
Firstpage :
1584
Lastpage :
1590
Abstract :
A comprehensive model of generating capacity expansion is studied in this paper in which load demand geographical distribution, power transmission line capacity and investment and operation costs are all taken into consideration. Focusing on the problem of generating unit location optimization, this paper simplifies the electrical network as a transportation network and optimizes generating unit location and electrical network expansion simultaneously from the view of economics. The computational results have shown that a reasonable plan of generating unit location can save much investment and operation cost of electrical network expansion. Such efficiency can be achieved only by integrating power transmission network expansion into generating capacity expansion. The fuel price, power transmission line capacity, the investment cost of generating unit and electrical network expansion and their operating costs are all important factors in the optimization of generating unit location
Keywords :
costing; economics; optimisation; power stations; power system analysis computing; power system planning; computer simulation; electrical network expansion; fuel price; generating capacity expansion model; investment costs; load demand geographical distribution; operating costs; power plant location optimization; power transmission line capacity; transmission network expansion; Computer networks; Cost function; Fuel economy; Investments; Power generation; Power generation economics; Power system economics; Power transmission; Power transmission lines; Transportation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.627862
Filename :
627862
Link To Document :
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