Reliability analysis of hybrid multi-carrier energy systems based on entropy-based Markov model
Xilin Zhao,
Fei Liu,
Bo Fu and
Na Fang
Journal of Risk and Reliability, 2016, vol. 230, issue 6, 561-569
Abstract:
Various new technologies for conversion between different forms of energy promote the appearance of hybrid multi-carrier energy system. For the purpose of optimized dispatch of multi-carrier energy and the security requirement of energy system, the reliability of this kind of energy system needs to be discussed. This article proposes a method based on entropy-based Markov model to analyze the reliability of hybrid multi-carrier energy system. First, the method to obtain the reliability of individual energy carrier is discussed. Second, the characteristic of entropy-based Markov model is analyzed. The method is shown to be an effective technique to obtain the reliability of the whole multi-carrier energy system depending on the reliability of individual energy carrier. Then, the fusion process to obtain the reliability of whole multi-carrier energy system is described. The result indicates that the reliability of the whole system is the reliability synthesized of individual energy supply and can be treated as a factor for the optimized process of multi-carrier energy dispatch. The effectiveness of the method is demonstrated by some examples.
Keywords: Multi-carrier energy system; entropy-based Markov model; reliability; data fusion (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1748006X16663056 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:230:y:2016:i:6:p:561-569
DOI: 10.1177/1748006X16663056
Access Statistics for this article
More articles in Journal of Risk and Reliability
Bibliographic data for series maintained by SAGE Publications ().