Digital twin-enhanced opportunistic maintenance of smart microgrids based on the risk importance measure

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2024-10-05 DOI:10.1016/j.ress.2024.110548

Hongyan Dui , Songru Zhang , Xinghui Dong , Shaomin Wu

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引用次数: 0

Abstract

Smart microgrids face more diverse and frequent risks than traditional grids due to their complexity and reliance on distributed generation. Ensuring the reliable operation of smart microgrids requires effective maintenance. Traditional maintenance methods, based on periodic inspections and fault diagnosis, struggle to adapt to the dynamics and complexity of microgrid systems. The introduction of digital twin technology provides a new solution for the opportunistic maintenance of microgrid systems. This paper presents a digital twin microgrid architecture for real-time monitoring and decision-making in opportunistic maintenance. Meanwhile, this paper introduces a risk importance measure to aid to optimize opportunistic maintenance strategies when resources are limited. Finally, a wind-solar-storage microgrid is used to illustrate the proposed method. Experimental results show that the proposed method significantly reduces maintenance costs and improves system reliability, effectively supporting microgrid maintenance.

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基于风险重要性度量的数字孪生增强型智能微电网机会维护

与传统电网相比，智能微电网由于其复杂性和对分布式发电的依赖，面临的风险更加多样和频繁。确保智能微电网的可靠运行需要有效的维护。基于定期检查和故障诊断的传统维护方法难以适应微电网系统的动态性和复杂性。数字孪生技术的引入为微电网系统的适时维护提供了新的解决方案。本文提出了一种数字孪生微电网架构，用于机会性维护中的实时监控和决策。同时，本文介绍了一种风险重要性措施，以帮助优化资源有限时的机会维护策略。最后，本文利用风能-太阳能-储能微电网来说明所提出的方法。实验结果表明，本文提出的方法显著降低了维护成本，提高了系统可靠性，为微电网维护提供了有效支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.