Resilience-oriented Security Rule Extraction and Optimal Operation for Urban Energy System

被引：0
|
作者：
Huang W. [1 ]
Si F. [1 ]
Zhang N. [1 ]
Dou Z. [2 ]
Kang C. [1 ]
机构：
[1] State Key Laboratory of Power System and Generation Equipment, Tsinghua University, Beijing
[2] State Grid Shanghai Electric Power Company, Shanghai
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 12期
关键词：
energy hub; integrated energy system; multi-energy network; optimal operation; resilience; security rule; urban energy system;
D O I：
10.7500/AEPS20221012003
中图分类号：
学科分类号：
摘要：
Urban energy systems not only need to have high reliability for small-scale and large-probability daily failure events, but also need to have high resilience to cope with large-scale and small-probability extreme disaster events. With the increasing coupling of cross-energy forms and power electronization, the urban energy system is expected to improve system resilence through coordinated cross-system energy transfer and rapid regulation of massive power electronic devices. First, this paper proposes a two-stage resilience operation model for urban energy systems under extreme disaster events, which integrates the modeling and coordination of fast dynamic characteristics of power electronic devices and slow dynamic characteristics of multi-energy networks. Then, to address the problems of multiple constraints and high solution complexity of the resilience model, a data-driven urban energy system security rule extraction method based on space-weighted inclined decision tree theory is proposed. The method transforms the complex resilience model into a small number of mixed-integer linear constraints, namely security rules, and embeds them into the system normal operation model. Finally, the effectiveness of the proposed method and its advantages in computational efficiency over the traditional model-driven methods are verified by case analysis. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码：1 / 8
页数：7
相关论文
共 44 条
  • [1] TRAKAS D N，, MANCARELLA P，, Et al., Power systems resilience assessment： hardening and smart operational enhancement strategies ［J］, Proceedings of the IEEE, 105, 7, pp. 1202-1213, (2017)
  • [2] From reliability to resilience：planning the grid against the extremes［J］, IEEE Power and Energy Magazine, 18, 4, pp. 41-53, (2020)
  • [3] YAN Chao, BIE Zhaohong, WANG Can, Et al., Risk assessment studies for new generation energy system［J］, Power System Technology, 43, 1, pp. 12-22, (2019)
  • [4] MANCARELLA P., The grid： stronger，bigger，smarter？：presenting a conceptual framework of power system resilience［J］, IEEE Power and Energy Magazine, 13, 3, pp. 58-66, (2015)
  • [5] MANCARELLA P., MES（multi-energy systems）：an overview of concepts and evaluation models［J］, Energy, 65, pp. 1-17, (2014)
  • [6] SI Fangyuang, ZHANG Ning, HAN Yinghua, Et al., Key problems and research framework for assessment and optimization of the functional regulation capacity of the regional integrated energy system under the aggregation of diversified and flexible resources［J/OL］, Proceedings of the CSEE
  • [7] SHARIATKHAH M H，, HAGHIFAM M R，, PARSAMOGHADDAM M，, Et al., Modeling the reliability of multi-carrier energy systems considering dynamic behavior of thermal loads［J］, Energy and Buildings, 103, pp. 375-383, (2015)
  • [8] SI Fangyuan, HAN Yinghua, YUAN Huaitong, Et al., Multi-objective optimization scheduling for integrated electricity and heating system including hybrid power flow constraints［J］, Control and Decision, 37, 1, pp. 97-107, (2022)
  • [9] TRAKAS D N，, HATZIARGYRIOU N D., Resilience constrained day-ahead unit commitment under extreme weather events［J］, IEEE Transactions on Power Systems, 35, 2, pp. 1242-1253, (2020)
  • [10] MEI S W，, Et al., Resilience-oriented pre-hurricane resource allocation in distribution systems considering electric buses［J］, Proceedings of the IEEE, 105, 7, pp. 1214-1233, (2017)
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