A Strategy for Enhancing the Elastic Resilience of Distribution Networks Based on Optimal Path

Xinyu ZHANG; Fang YAO; Fushuan WEN; Wenquan YUE; Dongfeng XUE

doi:10.16513/j.2096-2185.DE.2308603

TSINGHUA JOURNALS HOME

Source Journal for Chinese Scientific and Technical Papers and Citations

RCCSE Chinese Core Academic Journals

Classification Catalogue of High Quality Scientific Journals in the field of Energy and Power

Classification Catalogue of High Quality Scientific Journals in Coal Field

PDF(3731 KB)

Distributed Energy ›› 2023, Vol. 8 ›› Issue (6) : 20-26. DOI: 10.16513/j.2096-2185.DE.2308603

Basic Research

A Strategy for Enhancing the Elastic Resilience of Distribution Networks Based on Optimal Path

Author information +

History +

Abstract

This article proposes a two-stage strategy for improving the elastic resilience of distribution network systems under extreme weather conditions, with a long and short time scale. After a disaster occurs, the distribution network is isolated and reconstructed to restore short-term power supply by arranging distributed power sources and interconnection switches in a short period of time. Considering the impact of extreme weather on the transportation network after an extreme disaster occurs, the maintenance team needs to complete maintenance in the shortest possible time to minimize load reduction costs. For analyzing the evolution of long and short-term faults, a robust optimization (RO) model is established through collaborative optimization, which is solved using column and constraint generation (C&CG) algorithm. Finally, case studies are conducted to verify the effectiveness of the proposed model in improving the elastic resilience of distribution networks.

Key words

extreme weather / power system elasticity / two-stage robust optimization model / column-and-constraint (C&CG) generation

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Xinyu ZHANG , Fang YAO , Fushuan WEN , et al . A Strategy for Enhancing the Elastic Resilience of Distribution Networks Based on Optimal Path[J]. Distributed Energy Resources. 2023, 8(6): 20-26 https://doi.org/10.16513/j.2096-2185.DE.2308603

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	李更丰，邱爱慈，黄格超，等. 电力系统应对极端事件的新挑战与未来研究展望[J]. 智慧电力，2019, 47(8): 1-11. LI Gengfeng, QIU Aici, HUANG Gechao, et al. New challenges and future research prospects in power system against to extreme events[J]. Smart Power, 2019, 47(8): 1-11. Cited in this article [1]

[2]	GHOLAMI A, AMINIDAR F, SHAHIDEHPOUR M. Front lines against the darkness: Enhancing the resilience of the electricity grid through microgrid facilities[J]. IEEE Electrification Magazine, 2016, 4(1): 18-24. Cited in this article [1]

[3]	YAO Y, LIU W, JAIN R, et al. Quantitative metrics for grid resilience evaluation and optimization[J]. IEEE Transactions on Sustainable Energy, 2022, 14(2): 1244-1258. Cited in this article [1]

[4]	LIAN X, QIAN T, LI Z, et al. Resilience assessment for power system based on cascading failure graph under disturbances caused by extreme weather events[J]. International Journal of Electrical Power & Energy Systems, 2023, 145: 108616. Cited in this article [1]

[5]

张亚超，谢仕炜. 面向配电网弹性提升的多时间尺度恢复策略协调优化框架[J]. 电力系统自动化，2021, 45(18): 28-34.

ZHANG

Yachao

, XIE

Shiwei

. Coordinated optimization framework of multi-timescale restoration strategies for resilience enhancement of distribution networks[J]. Automation of Electric Power Systems, 2021, 45(18): 28-34.

Cited in this article [2]

[6]

王月汉，刘文霞，姚齐，等. 面向配电网韧性提升的移动储能预布局与动态调度策略[J]. 电力系统自动化，2022, 46(15): 37-45.

WANG

Yuehan

, LIU

Wenxia

, YAO

, et al. Pre-layout and dynamic scheduling strategy of mobile energy storage for resilience enhancement of distribution network[J]. Automation of Electric Power Systems, 2022, 46(15): 37-45.

Cited in this article [1]

[7]

张亚超，易杨，胡志鹏，等. 基于分布鲁棒优化的电－气综合能源系统弹性提升策略[J]. 电力系统自动化，2021, 45(13): 76-84.

ZHANG

Yachao

, YI

Yang

, HU

Zhipeng

, et al. Resilience enhancement strategy for electric gas integrated energy system based on distributed robust optimization[J]. Automation of Electric Power Systems, 2021, 45(13): 76-84.

Cited in this article [1]

[8]	WANG Y, YANG Y, XU Q. Resilience assessment of the integrated gas and power systems under extreme weather[J]. Energy Reports, 2023, 9: 160-167. Cited in this article [2]

[9]

时珊珊，崔正达，陈颖，等. 电气化交通和城市电网协同韧性提升方法综述[J]. 电工电能新技术，2022, 41(3): 43-54.

SHI

Shanshan

, CUI

Zhengda

, CHEN

Ying

, et al. Review of resilience enhancement methods with coordination of electrified transportation system and urban power grid[J]. Advanced Technology of Electrical Engineering and Energy, 2022, 41(3): 43-54.

Cited in this article [1]

[10]	TRAKAS D N, HATZIARGYRIOU N D. Strengthening transmission system resilience against extreme weather events by undergrounding selected lines[J]. IEEE Transactions on Power Systems, 2021, 37(4): 2808-2820. Cited in this article [1]

[11]	ABDELMALAK M, BENIDRIS M. Proactive generation redispatch to enhance power system resilience during hurricanes considering unavailability of renewable energy sources[J]. IEEE Transactions on Industry Applications, 2022, 58(3): 3044-3053. Cited in this article [1]

[12]	LIU L, LU X, YANG X, et al. Resilience enhancement planning method for distribution systems based on key nodes identification[C]//2022 4th Asia Energy and Electrical Engineering Symposium (AEEES). IEEE, 2022: 807-812. Cited in this article [1]

[13]	PANTELI M, TRAKAS D N, MANCARELLA P, et al. Boosting the power grid resilience to extreme weather events using defensive islanding[J]. IEEE Transactions on Smart Grid, 2016, 7(6): 1-10. Cited in this article [1]

[14]	XIE H, SUN X, CHEN C, et al. Resilience metrics for integrated power and natural gas systems[J]. IEEE Transactions on Smart Grid, 2022, 13(3): 2483-2486. Cited in this article [2]

[15]	GAO H, LIU J, WANG L. Robust coordinated optimization of active and reactive power in active distribution systems[J]. IEEE Transactions on Smart Grid, 2017, 9(5): 4436-4447. Cited in this article [2]

[16]	WANG S, DONG Q. A multi-source power grid's resilience enhancement strategy based on subnet division and power dispatch[J]. International Journal of Critical Infrastructure Protection, 2023, 41: 100602. Cited in this article [2]

[17]	ARIF A, WANG Z, WANG J, et al. Power distribution system outage management with co-optimization of repairs, reconfiguration, and DG dispatch[J]. IEEE Transactions on Smart Grid, 2018, 9(5): 4109-4118. Cited in this article [2]

[18]	李家钰，秦文萍，景祥，等. 台风灾害下考虑连锁故障的电力系统弹性评估[J]. 电力系统及其自动化学报，2023, 35(1): 14-22. LI Jiayu, QIN Wenping, JING Xiang, et al. Power system resilience assessment considering cascading failures in typhoon disasters[J]. Proceedings of the CSU-EPSA, 2023, 35(1): 14-22. Cited in this article [3]

[19]	KWASINSKI A. Quantitative model and metrics of electrical grids' resilience evaluated at a power distribution level[J]. Energies, 2016, 9(2): 93. Cited in this article [2]

[20]

陈玥，李力，孙少华，等. 弹性电力系统灾害防御及快速恢复智能调度平台设计与实现[J]. 智慧电力，2023, 51(8): 38-45.

CHEN

Yue

, LI

, SUN

Shaohua

, et al. Design and implementation of intelligent dispatching platform for disaster prevention and rapid recovery in resilient power system[J]. Smart Power, 2023, 51(8): 38-45.

Cited in this article [1]

[21]	卞艺衡，桂恒立，别朝红. 考虑重构和微电网分区的分布式电源优化配置[J]. 智慧电力，2020, 48(7): 8-15. BIAN Yiheng, GUI Hengli, BIE Zhaohong. Optimal DG allocation considering reconfiguration and microgrid zoning[J]. Smart Power, 2020, 48(7): 8-15. Cited in this article [1]