Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems

Li Li; Ziyu Zeng; Xinran He; Kang Wang; Fangde Chi; Tao Ding

doi:10.1109/PSGEC51302.2021.9542445

Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems

Li Li
, Ziyu Zeng
, Xinran He
, Kang Wang
, Fangde Chi
, Tao Ding

School of Electrical Engineering

State Grid Shaanxi Electric Power Company
Xi'an Jiaotong University

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

4 Scopus citations

Abstract

Energy storages can significantly relieve the pressure of the power system brought by a large amount of renewable energy generation. Under this situation, the risk assessment method becomes critical. In this paper, an explicit model for diverse energy storages with battery and Hydrogen Storage Systems (HSS) is built. Further, an optimal load shedding model by utilizing the sequential Monte Carlo (SMC) method is proposed to assess the risk of the power system with diverse energy storages. Then, the proposed method is test on a power system which is adapted from the IEEE 24-bus system. The numerical results show that diverse energy storages can improve risk assessment results of the power system.

Original language	English
Title of host publication	Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021
Editors	Guojie Li, Zhigang Li
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	379-384
Number of pages	6
ISBN (Electronic)	9781728190952
DOIs	https://doi.org/10.1109/PSGEC51302.2021.9542445
State	Published - Aug 2021
Event	2021 Power System and Green Energy Conference, PSGEC 2021 - Virtual, Online, China Duration: 21 Aug 2021 → 22 Aug 2021

Publication series

Name	Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021

Conference

Conference	2021 Power System and Green Energy Conference, PSGEC 2021
Country/Territory	China
City	Virtual, Online
Period	21/08/21 → 22/08/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

hydrogen storage system
renewable energy
risk assessment
sequential Monte Carlo method simulation

Access to Document

10.1109/PSGEC51302.2021.9542445

Cite this

Li, L., Zeng, Z., He, X., Wang, K., Chi, F., & Ding, T. (2021). Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems. In G. Li, & Z. Li (Eds.), Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021 (pp. 379-384). (Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PSGEC51302.2021.9542445

Li, Li ; Zeng, Ziyu ; He, Xinran et al. / Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems. Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021. editor / Guojie Li ; Zhigang Li. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 379-384 (Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021).

@inproceedings{9e1d87c5df3148ffba6754ed9ce88932,

title = "Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems",

abstract = "Energy storages can significantly relieve the pressure of the power system brought by a large amount of renewable energy generation. Under this situation, the risk assessment method becomes critical. In this paper, an explicit model for diverse energy storages with battery and Hydrogen Storage Systems (HSS) is built. Further, an optimal load shedding model by utilizing the sequential Monte Carlo (SMC) method is proposed to assess the risk of the power system with diverse energy storages. Then, the proposed method is test on a power system which is adapted from the IEEE 24-bus system. The numerical results show that diverse energy storages can improve risk assessment results of the power system.",

keywords = "hydrogen storage system, renewable energy, risk assessment, sequential Monte Carlo method simulation",

author = "Li Li and Ziyu Zeng and Xinran He and Kang Wang and Fangde Chi and Tao Ding",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 Power System and Green Energy Conference, PSGEC 2021 ; Conference date: 21-08-2021 Through 22-08-2021",

year = "2021",

month = aug,

doi = "10.1109/PSGEC51302.2021.9542445",

language = "英语",

series = "Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021",

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

pages = "379--384",

editor = "Guojie Li and Zhigang Li",

booktitle = "Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021",

}

Li, L, Zeng, Z, He, X, Wang, K, Chi, F & Ding, T 2021, Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems. in G Li & Z Li (eds), Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021. Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 379-384, 2021 Power System and Green Energy Conference, PSGEC 2021, Virtual, Online, China, 21/08/21. https://doi.org/10.1109/PSGEC51302.2021.9542445

Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems. / Li, Li; Zeng, Ziyu; He, Xinran et al.
Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021. ed. / Guojie Li; Zhigang Li. Institute of Electrical and Electronics Engineers Inc., 2021. p. 379-384 (Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021).

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

TY - GEN

T1 - Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems

AU - Li, Li

AU - Zeng, Ziyu

AU - He, Xinran

AU - Wang, Kang

AU - Chi, Fangde

AU - Ding, Tao

PY - 2021/8

Y1 - 2021/8

N2 - Energy storages can significantly relieve the pressure of the power system brought by a large amount of renewable energy generation. Under this situation, the risk assessment method becomes critical. In this paper, an explicit model for diverse energy storages with battery and Hydrogen Storage Systems (HSS) is built. Further, an optimal load shedding model by utilizing the sequential Monte Carlo (SMC) method is proposed to assess the risk of the power system with diverse energy storages. Then, the proposed method is test on a power system which is adapted from the IEEE 24-bus system. The numerical results show that diverse energy storages can improve risk assessment results of the power system.

AB - Energy storages can significantly relieve the pressure of the power system brought by a large amount of renewable energy generation. Under this situation, the risk assessment method becomes critical. In this paper, an explicit model for diverse energy storages with battery and Hydrogen Storage Systems (HSS) is built. Further, an optimal load shedding model by utilizing the sequential Monte Carlo (SMC) method is proposed to assess the risk of the power system with diverse energy storages. Then, the proposed method is test on a power system which is adapted from the IEEE 24-bus system. The numerical results show that diverse energy storages can improve risk assessment results of the power system.

KW - hydrogen storage system

KW - renewable energy

KW - risk assessment

KW - sequential Monte Carlo method simulation

UR - https://www.scopus.com/pages/publications/85116531230

U2 - 10.1109/PSGEC51302.2021.9542445

DO - 10.1109/PSGEC51302.2021.9542445

M3 - 会议稿件

AN - SCOPUS:85116531230

T3 - Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021

SP - 379

EP - 384

BT - Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021

A2 - Li, Guojie

A2 - Li, Zhigang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 Power System and Green Energy Conference, PSGEC 2021

Y2 - 21 August 2021 through 22 August 2021

ER -

Li L, Zeng Z, He X, Wang K, Chi F, Ding T. Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems. In Li G, Li Z, editors, Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 379-384. (Proceedings - 2021 Power System and Green Energy Conference, PSGEC 2021). doi: 10.1109/PSGEC51302.2021.9542445

Risk Assessment for Renewable Energy Penetrated Power Systems Considering Battery and Hydrogen Storage Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

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