Reliability tracing of the integrated energy system using the improved shapley value

Maosen Cao, Changzheng Shao, Bo Hu, Kaigui Xie, Jiahao Zhou, Haimo Leng and Weixin Zhang

Energy, 2022, vol. 260, issue C

Abstract: The integrated energy system (IES) can significantly improve energy efficiency. However, it introduces multiple operational risks. To improve the reliability of IES, the critical components whose failures lead to high load shedding risks should be identified. Reliability tracing serves as an analysis tool for identifying critical components, providing an optimal plan for component selection and upgradation. This study proposes an IES reliability tracing framework that assigns reliability indices to components using the improved Shapley value. First, load shedding is allocated to each failed component with its basic fairness criterion, and the probability of the failure event as the weight is multiplied by the result. Subsequently, the sorting of critical components is modified to match the improvement in reliability. Thus, the weak parts of IES can be accurately identified by finding the components that contribute most to the reliability indices, thereby providing theoretical guidance for effective planning and maintenance of IES with limited resources. Furthermore, a reliability-oriented model considering the dynamic optimal energy flow of IES is established to improve the accuracy of reliability tracing, and case studies are performed using an integrated utility testing system to validate the effectiveness of the proposed framework.

Keywords: Integrated gas; Power; And heat system; Reliability tracing; Shapley value; Dynamic optimal energy flow (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:260:y:2022:i:c:s0360544222018941

DOI: 10.1016/j.energy.2022.124997

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