Research Review of Power System Black-Start Restoration

被引：0
|
作者：
Gu X. [1 ]
Bai Y. [1 ]
Li S. [1 ]
Liu Y. [1 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Baoding
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2022年 / 37卷 / 13期
关键词：
black-start restoration; new-type power systems; Power system blackouts; research overview; restoration plan decision-making;
D O I：
10.19595/j.cnki.1000-6753.tces.220027
中图分类号：
学科分类号：
摘要：
Restoration control after large-scale blackouts is an important part of power system security defense. In the context of low-carbon energy transition, China’s power grid is gradually entering a new state with high proportion of renewable energy, AC-DC hybrid connection and highly power electronification, its operation and control complexity has been increased significantly. There still exists risk of blackouts due to various internal and external factors, so black-start restoration research needs to be given sufficient attention. This paper reviews the research work of black-start restoration. Firstly, the basic concept and process of black-start restoration is introduced, then the system restoration strategy and modeling ideas are analyzed from a spatio-temporal perspective. On this basis, the research work on restoration scheme development is reviewed and the restoration decision-making features of new-type power systems are discussed, then the related protection and control problems during restoration process are summarized, and finally, the further work is suggested for restoration of the new-type power systems. © 2022 Chinese Machine Press. All rights reserved.
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页码：3183 / 3200
页数：17
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共 118 条
  • [41] Hou Yunhe, Liu C C, Sun Kai, Et al., Computation of milestones for decision support during system restoration, IEEE Transactions on Power Systems, 26, 3, pp. 1399-1409, (2011)
  • [42] Patsakis G, Rajan D, Aravena I, Et al., Optimal black start allocation for power system restoration, IEEE Transactions on Power Systems, 33, 6, pp. 6766-6776, (2018)
  • [43] Golshani A, Sun Wei, Zhou Qun, Et al., Incorporating wind energy in power system restoration planning, IEEE Transactions on Smart Grid, 10, 1, pp. 16-28, (2019)
  • [44] Gu Xueping, Zhong Huirong, Jia Jinghua, Et al., Extended black-start schemes of power systems, Proceedings of the CSEE, 31, 28, pp. 25-32, (2011)
  • [45] Wang Hongtao, Liu Yutian, Leader-follower hierarchical decision model and optimal method for power system restoration, Proceedings of the CSEE, 27, 1, pp. 8-13, (2007)
  • [46] Cao Xi, Wang Hongtao, Liu Yutian, A hierarchical collaborative optimization method for transmission network restoration, Proceedings of the CSEE, 35, 19, pp. 4906-4917, (2015)
  • [47] Zhang Can, Lin Zhenzhi, Wen Fushuan, Et al., Two-stage power network reconfiguration strategy considering node importance and restored generation capacity, IET Generation, Transmission & Distribution, 8, 1, pp. 91-103, (2014)
  • [48] Sun Puyu, Zhang Yan, Luo Wenqing, Optimization of backbone network reconfiguration considering network coverage rate and dispersion degree, Power System Technology, 39, 1, pp. 271-278, (2015)
  • [49] Liu Qiang, Shi Libao, Ni Yixin, Et al., Intelligent optimization strategy of the power grid reconfiguration during power system restoration, Proceedings of the CSEE, 29, 13, pp. 8-15, (2009)
  • [50] Lin Zhenzhi, Wen Fushuan, A new optimization method for determining restoration paths based on weighted complex network model, Automation of Electric Power Systems, 33, 6, pp. 11-15, (2009)
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