Reliability assessment of integrated energy system considering the uncertainty of natural gas pipeline network system. Issue 22 (25th October 2019)

• Record Type: Journal Article
• Authors: Yang, Hejun; Zhang, Yeyu; Ma, Yinghao; Zhang, Dabo; Sun, Lei; Xia, Shiwei
• Is Part Of: IET generation, transmission & distribution. Volume 13:Issue 22(2019)
• Page Start: 5033
• Page End: 5041
• Publication Date: 2019-10-25
• Subjects: natural gas technology -- gas turbines -- power generation reliability -- probability -- pipelines -- gas turbine power stations; reliability assessment -- integrated energy system -- clean fossil energy -- power generation system -- chemical energy conversion -- electrical energy -- gas turbine -- equivalence technique -- Roy Billinton Test System -- electrical gas networks -- NGPNS operating states -- natural gas pipeline network system uncertainty -- analytical technique -- state probabilities -- equivalent reliability model -- electrical networks; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2019.0323
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : 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.