# A Multi-Level Fuzzy Evaluation Method for the Reliability of Integrated Energy Systems
## 5 Conclusions  
In this paper, we designed a system reliability evaluation process, based on the research status of an IES's reliability evaluation, and proposed a multi-level fuzzy comprehensive evaluation method for IES reliability, based on combined empowerment. From the perspective of multi-level indicators and fuzzy classification, an IES reliability evaluation model based on a multi-level fuzzy comprehensive evaluation was constructed. By calculating the initial weight of the evaluation indicators with AHP and correcting the weight with EWM, we calculated the fuzzy evaluation matrix and obtained the single-level evaluation results; finally, the multi-level fuzzy comprehensive evaluation of an IES was carried out to obtain the final evaluation results. Finally, case studies were carried out based on a practical integrated energy system; we proposed 5 first-level indicators such as reliability and economy and 12 second-level indicators such as mean time of incapacity. The simulation results (85.15) showed the effectiveness and advantages of the proposed model, so the work shown in this paper provides a new way of thinking regarding the evaluation of an IES. Conceptualization, P.H., X.W. and Y.G. ; methodology, P.H. ; validation, S.Z. ; resources, Z.Z. ; data curation, Z.Z. ; writing--original draft preparation, P.H. ; writing--review and editing, Y.G. ; project administration, Y.G. All authors have read and agreed to the published version of the manuscript. This research has been supported the Project of National Defense Basic Research Program, the National Defense Science and Technology Key Laboratory Fund Under Grant No. 6142219200205, the Open Fund of CETC Key Laboratory of Data Link Technology Under Grant No. CLDL-20202208_ 2, the Fundamental Research Funds for the Central Universities (G2022 KY0603) and the National Natural Science Foundation of China under grant No. 62203361. Not applicable. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to ownership of copyright. Figure 8: Total scores, scores, and scoring rates. * [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] Energy supply reliability assessment of the integrated energy system considering complementary and optimal operation during failure. _IET Gener. Transm. Distribt._**2021**, _15_, 1897-1907. [CrossRef]
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