EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2025-03-19
Handle: RePEc:sae:risrel:v:230:y:2016:i:6:p:561-569