DocumentCode :
140493
Title :
Cost-minimum network planning in large wind farm using revised prim´s algorithm
Author :
Kousaka, Ichiro ; Eguchi, Daisuke ; Yamashita, D. ; Nakanishi, Yoichiro ; Yokoyama, Ryohei ; Iba, Keisuke
Author_Institution :
Grad. Sch. of Environ. & Energy Eng., Waseda Univ., Tokyo, Japan
fYear :
2014
fDate :
19-22 Feb. 2014
Firstpage :
1
Lastpage :
6
Abstract :
The traditional thermal and nuclear power plants are concentrated geographically. If such new power plants are planned, suitable routes which reach to nearest substations are suggested. The wind turbines in wind power plants, however, are scattered in a vast region. It´s challenging to connect them and gather energy. However, there has been a few research of the method connecting wind turbines in a wind plant. In this paper, a planning method which optimizes the installation cost of power lines is developed. The target is an optimal design of power lines “in” large wind power plants. Specifically, we speculated a situation that installs roughly 50 wind generators (single unit at 3MW) in a vast region. Also, we have taken a consideration to establish an optimal network to reduce the transmission overload when power reaches to the aggregating point. Optimal placement of towers and/or link of wind farms are out of our scope.
Keywords :
power system planning; wind power plants; wind turbines; cost minimum network planning; installation cost; nuclear power plants; power lines; revised prim algorithm; thermal power plants; transmission overload; wind farm; wind power plants; wind turbines; Acoustic imaging; Planning; Poles and towers; Three-dimensional displays; Wind power generation; Wind turbines; Graph theory; Power line facility planning; Prim´s Algorithm; Transmission problem; Wind generator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/ISGT.2014.6816465
Filename :
6816465
Link To Document :
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