Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals

Yuqi Qian; Gengfeng Li; Zhaohong Bie

doi:10.1109/CICED56215.2022.9928869

Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals

School of Electrical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Greater demands of reliability are being placed on thermal power plants by growing promotion of intelligent devices and high-rate renewable energy resources. The auxiliary equipment and main wiring topology of power plants are all affected, while the overall studies are few. To overcome the shortcomings of existing research, this paper proposes a comprehensive reliability assessment methodology of thermal power plant with consideration of both auxiliary system and main wiring in power plants. Firstly, the structure of power plant auxiliary system is established. Then, the main wiring with intelligent terminals is analyzed. Moreover, an overall reliability evaluation procedure is given based on Monte Carlo method and minimum cut set method. Finally, a typical 2*600MW thermal power plant is modified to calculate the reliability indices and compare the importance of these two parts. In the future, with the development of new power systems, the reliability of information system and intelligent terminals should be focused more.

Original language	English
Title of host publication	Proceedings - 10th China International Conference on Electricity Distribution
Subtitle of host publication	Innovative Distribution Systems for Carbon Neurality, CICED 2022
Publisher	IEEE Computer Society
Pages	1024-1028
Number of pages	5
ISBN (Electronic)	9781665452687
DOIs	https://doi.org/10.1109/CICED56215.2022.9928869
State	Published - 2022
Event	10th China International Conference on Electricity Distribution, CICED 2022 - Changsha, China Duration: 7 Sep 2022 → 8 Sep 2022

Publication series

Name	China International Conference on Electricity Distribution, CICED
Volume	2022-September
ISSN (Print)	2161-7481
ISSN (Electronic)	2161-749X

Conference

Conference	10th China International Conference on Electricity Distribution, CICED 2022
Country/Territory	China
City	Changsha
Period	7/09/22 → 8/09/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Monte Carlo method
auxiliary system
cyber-physical system
minimum cut set
reliability assessment

Access to Document

10.1109/CICED56215.2022.9928869

Cite this

Qian, Y., Li, G., & Bie, Z. (2022). Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals. In Proceedings - 10th China International Conference on Electricity Distribution: Innovative Distribution Systems for Carbon Neurality, CICED 2022 (pp. 1024-1028). (China International Conference on Electricity Distribution, CICED; Vol. 2022-September). IEEE Computer Society. https://doi.org/10.1109/CICED56215.2022.9928869

Qian, Yuqi ; Li, Gengfeng ; Bie, Zhaohong. / Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals. Proceedings - 10th China International Conference on Electricity Distribution: Innovative Distribution Systems for Carbon Neurality, CICED 2022. IEEE Computer Society, 2022. pp. 1024-1028 (China International Conference on Electricity Distribution, CICED).

@inproceedings{71fc806467cf43c9883193346842cab3,

title = "Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals",

abstract = "Greater demands of reliability are being placed on thermal power plants by growing promotion of intelligent devices and high-rate renewable energy resources. The auxiliary equipment and main wiring topology of power plants are all affected, while the overall studies are few. To overcome the shortcomings of existing research, this paper proposes a comprehensive reliability assessment methodology of thermal power plant with consideration of both auxiliary system and main wiring in power plants. Firstly, the structure of power plant auxiliary system is established. Then, the main wiring with intelligent terminals is analyzed. Moreover, an overall reliability evaluation procedure is given based on Monte Carlo method and minimum cut set method. Finally, a typical 2*600MW thermal power plant is modified to calculate the reliability indices and compare the importance of these two parts. In the future, with the development of new power systems, the reliability of information system and intelligent terminals should be focused more.",

keywords = "Monte Carlo method, auxiliary system, cyber-physical system, minimum cut set, reliability assessment",

author = "Yuqi Qian and Gengfeng Li and Zhaohong Bie",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 10th China International Conference on Electricity Distribution, CICED 2022 ; Conference date: 07-09-2022 Through 08-09-2022",

year = "2022",

doi = "10.1109/CICED56215.2022.9928869",

language = "英语",

series = "China International Conference on Electricity Distribution, CICED",

publisher = "IEEE Computer Society",

pages = "1024--1028",

booktitle = "Proceedings - 10th China International Conference on Electricity Distribution",

}

Qian, Y, Li, G & Bie, Z 2022, Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals. in Proceedings - 10th China International Conference on Electricity Distribution: Innovative Distribution Systems for Carbon Neurality, CICED 2022. China International Conference on Electricity Distribution, CICED, vol. 2022-September, IEEE Computer Society, pp. 1024-1028, 10th China International Conference on Electricity Distribution, CICED 2022, Changsha, China, 7/09/22. https://doi.org/10.1109/CICED56215.2022.9928869

Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals. / Qian, Yuqi; Li, Gengfeng ; Bie, Zhaohong.
Proceedings - 10th China International Conference on Electricity Distribution: Innovative Distribution Systems for Carbon Neurality, CICED 2022. IEEE Computer Society, 2022. p. 1024-1028 (China International Conference on Electricity Distribution, CICED; Vol. 2022-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals

AU - Qian, Yuqi

AU - Li, Gengfeng

AU - Bie, Zhaohong

PY - 2022

Y1 - 2022

N2 - Greater demands of reliability are being placed on thermal power plants by growing promotion of intelligent devices and high-rate renewable energy resources. The auxiliary equipment and main wiring topology of power plants are all affected, while the overall studies are few. To overcome the shortcomings of existing research, this paper proposes a comprehensive reliability assessment methodology of thermal power plant with consideration of both auxiliary system and main wiring in power plants. Firstly, the structure of power plant auxiliary system is established. Then, the main wiring with intelligent terminals is analyzed. Moreover, an overall reliability evaluation procedure is given based on Monte Carlo method and minimum cut set method. Finally, a typical 2*600MW thermal power plant is modified to calculate the reliability indices and compare the importance of these two parts. In the future, with the development of new power systems, the reliability of information system and intelligent terminals should be focused more.

AB - Greater demands of reliability are being placed on thermal power plants by growing promotion of intelligent devices and high-rate renewable energy resources. The auxiliary equipment and main wiring topology of power plants are all affected, while the overall studies are few. To overcome the shortcomings of existing research, this paper proposes a comprehensive reliability assessment methodology of thermal power plant with consideration of both auxiliary system and main wiring in power plants. Firstly, the structure of power plant auxiliary system is established. Then, the main wiring with intelligent terminals is analyzed. Moreover, an overall reliability evaluation procedure is given based on Monte Carlo method and minimum cut set method. Finally, a typical 2*600MW thermal power plant is modified to calculate the reliability indices and compare the importance of these two parts. In the future, with the development of new power systems, the reliability of information system and intelligent terminals should be focused more.

KW - Monte Carlo method

KW - auxiliary system

KW - cyber-physical system

KW - minimum cut set

KW - reliability assessment

UR - https://www.scopus.com/pages/publications/85141897459

U2 - 10.1109/CICED56215.2022.9928869

DO - 10.1109/CICED56215.2022.9928869

M3 - 会议稿件

AN - SCOPUS:85141897459

T3 - China International Conference on Electricity Distribution, CICED

SP - 1024

EP - 1028

BT - Proceedings - 10th China International Conference on Electricity Distribution

PB - IEEE Computer Society

T2 - 10th China International Conference on Electricity Distribution, CICED 2022

Y2 - 7 September 2022 through 8 September 2022

ER -

Qian Y, Li G , Bie Z. Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals. In Proceedings - 10th China International Conference on Electricity Distribution: Innovative Distribution Systems for Carbon Neurality, CICED 2022. IEEE Computer Society. 2022. p. 1024-1028. (China International Conference on Electricity Distribution, CICED). doi: 10.1109/CICED56215.2022.9928869

Thermal Power Plant Reliability Assessment Method Considering Auxiliary System and Main Wiring with Intelligent Terminals

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this