Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage

Xinyue Hu; Dingmao Zhang; Gengfeng Li; Kangjian Fan

doi:10.1109/EEPS58791.2023.10256694

Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage

Xinyue Hu
, Dingmao Zhang
, Gengfeng Li
, Kangjian Fan

School of Electrical Engineering

Xi'an Jiaotong University

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

Abstract

Fault and planned maintenance are both considered outage states in the evaluation of power generation systems. This method underestimates the reliability level of the system. To refine the reliability evaluation of power generation systems, a three-state model for power generation units is proposed, which divides the outage status of power generation units into two states: fault and planned maintenance. Under different system margins, generator units adopt different operating plans. This method can evaluate the reliability level of the power generation system more accurately. Given the application of energy storage, the reliability model of energy storage is established and involved in system reliability evaluation. Numerical results based on IEEE RTS-79 validate the effectiveness of the proposed method.

Original language	English
Title of host publication	2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	57-62
Number of pages	6
ISBN (Electronic)	9798350313857
DOIs	https://doi.org/10.1109/EEPS58791.2023.10256694
State	Published - 2023
Event	3rd International Conference on Energy Engineering and Power Systems, EEPS 2023 - Dali, China Duration: 28 Jul 2023 → 30 Jul 2023

Publication series

Name	2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

Conference

Conference	3rd International Conference on Energy Engineering and Power Systems, EEPS 2023
Country/Territory	China
City	Dali
Period	28/07/23 → 30/07/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

capacity outage probability table (COPT)
planned maintenance
power generation system
reliability evaluation

Access to Document

10.1109/EEPS58791.2023.10256694

Cite this

Hu, X., Zhang, D., Li, G., & Fan, K. (2023). Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage. In 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023 (pp. 57-62). (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEPS58791.2023.10256694

Hu, Xinyue ; Zhang, Dingmao ; Li, Gengfeng et al. / Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage. 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 57-62 (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023).

@inproceedings{d7d410a5687148caba93255da3c5c461,

title = "Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage",

abstract = "Fault and planned maintenance are both considered outage states in the evaluation of power generation systems. This method underestimates the reliability level of the system. To refine the reliability evaluation of power generation systems, a three-state model for power generation units is proposed, which divides the outage status of power generation units into two states: fault and planned maintenance. Under different system margins, generator units adopt different operating plans. This method can evaluate the reliability level of the power generation system more accurately. Given the application of energy storage, the reliability model of energy storage is established and involved in system reliability evaluation. Numerical results based on IEEE RTS-79 validate the effectiveness of the proposed method.",

keywords = "capacity outage probability table (COPT), planned maintenance, power generation system, reliability evaluation",

author = "Xinyue Hu and Dingmao Zhang and Gengfeng Li and Kangjian Fan",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023 ; Conference date: 28-07-2023 Through 30-07-2023",

year = "2023",

doi = "10.1109/EEPS58791.2023.10256694",

language = "英语",

series = "2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "57--62",

booktitle = "2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023",

}

Hu, X, Zhang, D, Li, G & Fan, K 2023, Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage. in 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 57-62, 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023, Dali, China, 28/07/23. https://doi.org/10.1109/EEPS58791.2023.10256694

Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage. / Hu, Xinyue; Zhang, Dingmao; Li, Gengfeng et al.
2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 57-62 (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023).

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

TY - GEN

T1 - Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage

AU - Hu, Xinyue

AU - Zhang, Dingmao

AU - Li, Gengfeng

AU - Fan, Kangjian

PY - 2023

Y1 - 2023

N2 - Fault and planned maintenance are both considered outage states in the evaluation of power generation systems. This method underestimates the reliability level of the system. To refine the reliability evaluation of power generation systems, a three-state model for power generation units is proposed, which divides the outage status of power generation units into two states: fault and planned maintenance. Under different system margins, generator units adopt different operating plans. This method can evaluate the reliability level of the power generation system more accurately. Given the application of energy storage, the reliability model of energy storage is established and involved in system reliability evaluation. Numerical results based on IEEE RTS-79 validate the effectiveness of the proposed method.

AB - Fault and planned maintenance are both considered outage states in the evaluation of power generation systems. This method underestimates the reliability level of the system. To refine the reliability evaluation of power generation systems, a three-state model for power generation units is proposed, which divides the outage status of power generation units into two states: fault and planned maintenance. Under different system margins, generator units adopt different operating plans. This method can evaluate the reliability level of the power generation system more accurately. Given the application of energy storage, the reliability model of energy storage is established and involved in system reliability evaluation. Numerical results based on IEEE RTS-79 validate the effectiveness of the proposed method.

KW - capacity outage probability table (COPT)

KW - planned maintenance

KW - power generation system

KW - reliability evaluation

UR - https://www.scopus.com/pages/publications/85173842451

U2 - 10.1109/EEPS58791.2023.10256694

DO - 10.1109/EEPS58791.2023.10256694

M3 - 会议稿件

AN - SCOPUS:85173842451

T3 - 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

SP - 57

EP - 62

BT - 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

Y2 - 28 July 2023 through 30 July 2023

ER -

Hu X, Zhang D, Li G, Fan K. Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage. In 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 57-62. (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023). doi: 10.1109/EEPS58791.2023.10256694

Reliability Evaluation of Power Generation System Considering Planned Maintenance and Energy Storage

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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