Study on the current analysis of a transmission system with wind power penetration using stochastic power flow calculations

Akihiko Sakai, Zuo Hu, Kazuaki Iwamura, Yosuke Nakanishi, Kenji Iba

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

Abstract

Wind generated power is one of the most promising forms of renewable energy and its penetration into power grids is expected to increase in future. For the large-scale penetration of wind farms, it is important to build transmission networks dedicated to wind power generation at low costs and assess the impacts of wind power on the existing transmission networks. For solving these challenges, it is necessary to determine the appropriate capacities of the power lines to be built, and to estimate the additional power flow in the existing lines. In this paper, we propose a current flow analysis method using stochastic power flow calculations and we apply this method to a model system that simulates the power system of Tohoku (the northeast region of Japan). First, we calculate the stochastic maximum current values of the transmission lines of the model system using this method. Next, we calculate the actual current values of the transmission lines of the model system using the measured data of the wind farms in Tohoku. Additionally, we evaluate the effectiveness of the proposed method by comparing the stochastic maximum current values with the actual current values.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages884-887
Number of pages4
ISBN (Electronic)9781509025961
DOIs
Publication statusPublished - 2017 Feb 8
Event2016 IEEE Region 10 Conference, TENCON 2016 - Singapore, Singapore
Duration: 2016 Nov 222016 Nov 25

Other

Other2016 IEEE Region 10 Conference, TENCON 2016
CountrySingapore
CitySingapore
Period16/11/2216/11/25

Fingerprint

Wind power
Electric power transmission networks
Farms
Electric lines
Power generation
Costs

Keywords

  • mutual correlation
  • normal distribution
  • power system penetration
  • stochastic power flow calculation
  • wind power

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Sakai, A., Hu, Z., Iwamura, K., Nakanishi, Y., & Iba, K. (2017). Study on the current analysis of a transmission system with wind power penetration using stochastic power flow calculations. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016 (pp. 884-887). [7848132] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2016.7848132

Study on the current analysis of a transmission system with wind power penetration using stochastic power flow calculations. / Sakai, Akihiko; Hu, Zuo; Iwamura, Kazuaki; Nakanishi, Yosuke; Iba, Kenji.

Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 884-887 7848132.

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

Sakai, A, Hu, Z, Iwamura, K, Nakanishi, Y & Iba, K 2017, Study on the current analysis of a transmission system with wind power penetration using stochastic power flow calculations. in Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016., 7848132, Institute of Electrical and Electronics Engineers Inc., pp. 884-887, 2016 IEEE Region 10 Conference, TENCON 2016, Singapore, Singapore, 16/11/22. https://doi.org/10.1109/TENCON.2016.7848132
Sakai A, Hu Z, Iwamura K, Nakanishi Y, Iba K. Study on the current analysis of a transmission system with wind power penetration using stochastic power flow calculations. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 884-887. 7848132 https://doi.org/10.1109/TENCON.2016.7848132
Sakai, Akihiko ; Hu, Zuo ; Iwamura, Kazuaki ; Nakanishi, Yosuke ; Iba, Kenji. / Study on the current analysis of a transmission system with wind power penetration using stochastic power flow calculations. Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 884-887
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