z-logo
open-access-imgOpen Access
Reliability assessment of integrated energy system considering the uncertainty of natural gas pipeline network system
Author(s) -
Yang Hejun,
Zhang Yeyu,
Ma Yinghao,
Zhang Dabo,
Sun Lei,
Xia Shiwei
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0323
Subject(s) - natural gas , correctness , reliability (semiconductor) , reliability engineering , gas turbines , electric power system , energy (signal processing) , pipeline (software) , fossil fuel , computer science , engineering , power (physics) , mechanical engineering , algorithm , mathematics , statistics , physics , quantum mechanics , waste management
Natural gas, as a clean fossil energy, has been widely used in power generation system by converting chemical energy into electrical energy through gas turbines. However, the natural gas pipeline network system (NGPNS) is comprised of many equipments, and the failure of any equipment will probably cause the outage of gas turbines. Therefore, this study proposes an analytical method which can incorporate the uncertainty of NGPNS into the reliability assessment of integrated energy system. Firstly, on the basis of an analytical technique, NGPNS's operating states and the corresponding state probabilities are simulated. Secondly, a state transferring and equivalence technique is proposed for transferring the unreliability of NGPNS to the involved outage of gas turbines. Thirdly, an equivalent reliability model of gas turbine is established for taking into account the uncertainty of NGPNS. Finally, the NGPNS is connected to the Roy Billinton Test System through the coupling of gas turbines between electrical and gas networks. The results of case studies verify the correctness and effectiveness of the proposed algorithm.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here