General Information
    • ISSN: 1793-821X (Print)
    • Abbreviated Title: J. Clean Energy Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: CNKIElectronic Journals Library, Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, Google Scholar, ProQuest.
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Universiti Malaysia Sabah, Malaysia.
I would like to express my appreciation to all the reviewers and editors, who have been working
very hard to ensure the quality of the journal. It's my honor to work with such a wonderful team.

JOCET 2015 Vol.3(4): 265-269 ISSN: 1793-821X
DOI: 10.7763/JOCET.2015.V3.206

Study on Designing for Inner Grid of Offshore Wind Farm

Je-Seok Shin, Wook-Won Kim, and Jin-O Kim
Abstract—Wind power is one of the widely used renewable resources and it is connected to power system steadily. In recent years, wind power is developed in the form of large-scale wind farm at offshore, which is composed of dozens or hundreds of wind turbines. In inner grid of wind farm, wind turbines are connected to each other through cable, and there are a wide variety of configurations depending on how to connect wind turbines. Due to difficult and expensive construction activity at sea, the problem to connect optimally wind turbines is very important. In order to solve the problem, this paper introduces a methodology based on the k-clustering algorithm, minimum spanning tree (MSP) algorithm and local search method. K-clustering is applied to divide wind turbines into k-groups, and MSP algorithm is used to link wind turbines in each group with the objective that total length of cables is minimized. Optimal configuration is determined by local search method which explores diverse combinations depending on the number of groups and the number of wind turbines in each group. The case studies show that the proposed methodology can be utilized usefully for designing inner grid of offshore wind farm.

Index Terms—Offshore wind farm, inner grid, k-clustering algorithm, minimum spanning tree, local search method.

The authors are with the Electrical Engineering Department, Hanyang University, Seoul, Korea (e-mail: {kjboy, neocruser, jokim}@


Cite:Je-Seok Shin, Wook-Won Kim, and Jin-O Kim, "Study on Designing for Inner Grid of Offshore Wind Farm," Journal of Clean Energy Technologies vol. 3, no. 4, pp. 265-269, 2015.

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