A multi-level fuzzy evaluation method for the reliability of integrated energy systems based on combined empowerment

Pei He, Xiaodong Wang, Yangming Guo, Sheng Xu, Qian Yang, Shaoquan Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A reasonable and accurate assessment of the reliability of integrated energy system helps to realize the collaborative planning and optimal regulation of smart energy. In this paper, we propose a multi-level fuzzy evaluation model based on combined empowerment for the reliability evaluation of Integrated Energy System (IES). The evaluation indicators are reasonably graded and scientifically integrated to produce assessment conclusions reflecting the overall system condition. The comparative analysis shows that the proposed method can effectively assess the reliability of IES.

Original languageEnglish
Title of host publication2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022
EditorsWei Guo, Steven Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665496315
DOIs
StatePublished - 2022
Event2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022 - Yantai, China
Duration: 13 Oct 202216 Oct 2022

Publication series

Name2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022

Conference

Conference2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022
Country/TerritoryChina
CityYantai
Period13/10/2216/10/22

Keywords

  • combined empowerment
  • component
  • integrated energy system
  • multi-level fuzzy evaluation
  • reliability assessment

Fingerprint

Dive into the research topics of 'A multi-level fuzzy evaluation method for the reliability of integrated energy systems based on combined empowerment'. Together they form a unique fingerprint.

Cite this