Multi-stage resilience scheduling of electricity-gas integrated energy system with multi-level decentralized reserve

被引:0
|
作者
Lv, Chaoxian [1 ,2 ]
Liang, Rui [1 ,2 ]
Jin, Wei [1 ,2 ]
Chai, Yuanyuan [3 ]
Yang, Tiankai [4 ]
机构
[1] School of Electrical Engineering, China University of Mining and Technology, Xuzhou,221116, China
[2] Jiangsu Laboratory of Coal Mine Electrical and Automation Engineering, China University of Mining and Technology, Xuzhou,221116, China
[3] School of Electrical Engineering, Hebei University of Technology, Tianjin,300401, China
[4] College of Marine Electrical Engineering, Dalian Maritime University, Dalian,116026, China
基金
中国国家自然科学基金;
关键词
Integer programming - Scheduling - Second-order cone programming - Heat storage - Distributed power generation - Proven reserves - Restoration;
D O I
暂无
中图分类号
学科分类号
摘要
Extreme events pose threats to secure and consistent supply of electricity-gas integrated energy system (EGIES), and adequate resilience is essential for improving risk defense abilities. Considering the constraints of power distribution network (PDN) and natural gas system (NGS), a multi-stage strategy integrating multi-level decentralized reserve is proposed for resilience enhancement in EGIES. Storages of multi-area community integrated energy systems (CIESs) serve as the secondary reserve while the primary reserve, i.e., independent electric power/natural gas system, fails to meet reserve requirements. Furthermore, the thermal storage of building air on the consumption side is taken as the tertiary reserve, so as to obtain a better emergency response effect. The scheduling framework consists of reserve calculation, economic scheduling, and fault restoration. On the basis of multi-area reserve calculation, day-ahead economic scheduling is conducted, maintaining adequate reserve with consideration of decentralized reserve constraints; thus, high-priority demands can be recovered in case of supply disruptions. In addition, the flexible topology of PDN is utilized to facilitate the restored loads by optimal islanding partition. Via conic relaxation conversion, the original nonconvex model is tracked into a unified mixed-integer second-order cone programming (MISOCP) formulation, which can be effectively and accurately solved. Finally, numerical study on a modified IEEE 33-bus test system and a modified 7-node gas system connecting multiple community integrated energy systems shows the effectiveness of the proposed resilience strategy. © 2022 Elsevier Ltd
引用
收藏
相关论文
共 50 条
  • [31] Multi-stage flexible planning of regional electricity-HCNG-integrated energy system considering gas pipeline retrofit and expansion
    Qiu, Yue
    Zhou, Suyang
    Gu, Wei
    Ding, Shixing
    Han, Gaoyan
    Zhang, Kang
    Lv, Hongkun
    IET RENEWABLE POWER GENERATION, 2022, 16 (15) : 3339 - 3367
  • [32] Resilience-oriented district energy system integrated with renewable energy and multi-level seasonal energy storage
    Harsini, Azam Entezari
    JOURNAL OF ENERGY STORAGE, 2023, 72
  • [33] Multi-level multi-stage efficiency measurement: the case of innovation systems
    Elias G. Carayannis
    Yorgos Goletsis
    Evangelos Grigoroudis
    Operational Research, 2015, 15 : 253 - 274
  • [34] A multi-level genetic algorithm for a multi-stage space allocation problem
    Adewumi, A. O.
    Ali, M. M.
    MATHEMATICAL AND COMPUTER MODELLING, 2010, 51 (1-2) : 109 - 126
  • [35] Multi-level multi-stage efficiency measurement: the case of innovation systems
    Carayannis, Elias G.
    Goletsis, Yorgos
    Grigoroudis, Evangelos
    OPERATIONAL RESEARCH, 2015, 15 (02) : 253 - 274
  • [36] Two-stage robust cooperative scheduling for electricity-gas integrated energy system considering power-to-gas for wind power accommodation
    Wu J.
    Wang J.
    Zhang Q.
    Zhang Y.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (02): : 436 - 443
  • [37] Autonomous decentralized scheduling system for multi-stage parallel-unit production processes
    Kitajima, T
    Nishitani, H
    Saitoh, A
    Hasebe, S
    Hashimoto, I
    KAGAKU KOGAKU RONBUNSHU, 1996, 22 (05) : 1031 - 1038
  • [38] Multi-level, multi-stage lot-sizing and scheduling in the flexible flow shop with demand information updating
    Hakeem-Ur-Rehman
    Wan, Guohua
    Zhan, Yang
    INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2021, 28 (04) : 2191 - 2217
  • [39] Security region of natural gas network in electricity-gas integrated energy system
    Li, Xue
    Tian, Guoda
    Shi, Qingxin
    Jiang, Tao
    Li, Fangxing
    Jia, Hongjie
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 117 (117)
  • [40] Batching and scheduling in a multi-stage kanban system
    Sarker, BR
    Balan, CV
    6TH INDUSTRIAL ENGINEERING RESEARCH CONFERENCE PROCEEDINGS: (IERC), 1997, : 674 - 679