[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2021.26.12.255

An Optimization Model for O&M Planning of Floating Offshore Wind Farm using Mixed Integer Linear Programming

Sang, Min-Gyu (School of Industrial Management and Engineering, Korea University)
Lee, Nam-Kyoung (Smart Convergence Dept., KEPCO Engineering & Construction Co., Inc.)
Shin, Yong-Hyuk (Dept. of Industrial Engineering, Konkuk University)
Lee, Chulung (School of Industrial Management and Engineering, Korea University)
Oh, Young-Jin (Smart Convergence Dept., KEPCO Engineering & Construction Co., Inc.)

Publication Information

Journal of the Korea Society of Computer and Information / v.26, no.12, 2021 , pp. 255-264 More about this Journal

Abstract

In this paper, we propose operations and maintenance (O&M) planning approach for floating offshore wind farm using the mathematical optimization. To be specific, we present a MILP (Mixed Integer Linear Programming that suggests the composition of vessels, technicians, and maintenance works on a weekly basis. We reflect accessibility to wind turbines based on weather data and loss of power generation using the Jensen wake model to identify downtime cost that vary from time to time. This paper also includes a description of two-stage approach for maintenance planning & detailed scheduling and numeric analysis of the number of vessels and technicians on the O&M cost. Finally, the MILP model could be utilized in order to establish the suitable and effective maintenance planning reflecting domestic situation.

Keywords

Offshore Wind Farm; Operations & Maintenance; Integer Programming; Linear Programming; Optimization;

Citations & Related Records

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