Reliability-oriented twin model for integrating offshore wind farm maintenance activities

被引：0

作者：

Duarte, Yorlandys Salgado ^{[1
]}

Szpytko, Janusz ^{[1
]}

机构：

[1] Faculty of Mechanical Engineering and Robotics, AGH University of Krakow

来源：

Eksploatacja i Niezawodnosc | 2025年 / 27卷 / 03期

关键词：

heuristic optimization; maintenance; Markow chain Monte Carlo simulations; offshore wind farms; power systems; reliability;

D O I：

10.17531/ein/199355

中图分类号：

学科分类号：

摘要：

In the context of Power Systems, scheduling maintenance activities is a recognized Non-deterministic Polynomial-Time (NP) hard optimization problem. This complexity stems from the dynamic nature of Power Systems and the varied conditions within them. When wind energy is integrated into the system through offshore wind farms and is composed of a large volume of small units, the challenges become even more remarkable due to the uncertainties introduced by wind variability and the need to coordinate a high volume of maintenance activities. This paper tackles this complex optimization issue using a probabilisticfocused twin model that addresses uncertainties and enumeration with scenario analysis based on simulations. The proposed solution quantifies and optimizes a probabilistic indicator estimated using the Monte Carlo method, and demonstrates feasible heuristic optimization algorithms that balance computation time and accuracy. IEEE-RTS is used to benchmark the proposed solution and to discriminate the best feasible heuristic optimization algorithm. © 2025, Polish Academy of Sciences Branch Lublin. All rights reserved.

引用

共 29 条

[1]

Atwa Y.M., El-Saadany E.F., Salama M.M., Seethapathy R., Assam M., Conti S., Adequacy Evaluation of Distribution System Including Wind/Solar DG During Different Modes of Operation, IEEE Transactions on Power Systems, 26, pp. 1945-1952, (2011)

[2]

Barberis Negra N., Bak-Jensen B., Holmstrom O., Sorensen P., Models for HLI analysis of power system with offshore wind farms and distributed generation, Proc. of 7th International Workshop on Large-Scale Integration of Wind Power and Transmission Networks for Offshore Wind Farms, (2008)

[3]

Billinton R., El-Sheikhi F-A., Preventive maintenance scheduling in power generation systems using a quantitative risk criterion, Canadian Electrical Engineering Journal, 8, 1, pp. 28-39, (1983)

[4]

de Lopez Diz S., Martin Lopez R., Rodriguez Sanchez F-J., Diaz Llerena E., Bueno Pena E-J., A real-time digital twin approach on threephase power converters applied to condition monitoring, Applied Energy, 334, (2023)

[5]

Deng S., Ling L., Zhang C., Li C., Zeng T., Zhang K., Guo G., A systematic review on the current research of digital twin in automotive application, Internet of Things and Cyber-Physical Systems, 3, pp. 180-191, (2023)

[6]

Dupre la Tour M-A., Photovoltaic and wind energy potential in Europe – A systematic review, Renewable and Sustainable Energy Reviews, 179, (2023)

[7]

Gharehchopogh F.S., Maleki I., Dizaji Z.A., Chaotic vortex search algorithm: metaheuristic algorithm for feature selection, Evolutionary Intelligence, 15, pp. 1777-1808, (2022)

[8]

Gharehchopogh F.S., Advances in Tree Seed Algorithm: A Comprehensive Survey, Archives of Computational Methods in Engineering, 29, pp. 3281-3304, (2022)

[9]

Grigg C., Et al., The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee, IEEE Transactions on Power Systems, 14, 3, pp. 1010-1020, (1999)

[10]

Han F., Li X., Qi S., Wang W., Shi W., Reliability analysis of wind turbine subassemblies based on the 3-P Weibull model via an ergodic artificial bee colony algorithm, Probabilistic Engineering Mechanics, (2023)

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