Cost-minimum network planning in large wind farm using revised prim's algorithm

Ichiro Kousaka, Daisuke Eguchi, Daiki Yamashita, Yosuke Nakanishi, Ruichi Yokoyama, Kenji Iba

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014
PublisherIEEE Computer Society
ISBN (Print)9781479936526
DOIs
Publication statusPublished - 2014
Event2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014 - Washington, DC
Duration: 2014 Feb 192014 Feb 22

Other

Other2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014
CityWashington, DC
Period14/2/1914/2/22

Fingerprint

Farms
Power plants
Planning
Wind turbines
Wind power
Costs
Towers
Nuclear power plants
Optimal design
Hot Temperature

Keywords

  • Graph theory
  • Power line facility planning
  • Prim's Algorithm
  • Transmission problem
  • Wind generator

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Kousaka, I., Eguchi, D., Yamashita, D., Nakanishi, Y., Yokoyama, R., & Iba, K. (2014). Cost-minimum network planning in large wind farm using revised prim's algorithm. In 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014 [6816465] IEEE Computer Society. https://doi.org/10.1109/ISGT.2014.6816465

Cost-minimum network planning in large wind farm using revised prim's algorithm. / Kousaka, Ichiro; Eguchi, Daisuke; Yamashita, Daiki; Nakanishi, Yosuke; Yokoyama, Ruichi; Iba, Kenji.

2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014. IEEE Computer Society, 2014. 6816465.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kousaka, I, Eguchi, D, Yamashita, D, Nakanishi, Y, Yokoyama, R & Iba, K 2014, Cost-minimum network planning in large wind farm using revised prim's algorithm. in 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014., 6816465, IEEE Computer Society, 2014 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2014, Washington, DC, 14/2/19. https://doi.org/10.1109/ISGT.2014.6816465
Kousaka I, Eguchi D, Yamashita D, Nakanishi Y, Yokoyama R, Iba K. Cost-minimum network planning in large wind farm using revised prim's algorithm. In 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014. IEEE Computer Society. 2014. 6816465 https://doi.org/10.1109/ISGT.2014.6816465
Kousaka, Ichiro ; Eguchi, Daisuke ; Yamashita, Daiki ; Nakanishi, Yosuke ; Yokoyama, Ruichi ; Iba, Kenji. / Cost-minimum network planning in large wind farm using revised prim's algorithm. 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014. IEEE Computer Society, 2014.
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