Optimal Energy Reserve Scheduling in Integrated Electricity and Gas Systems Considering Reliability Requirements

被引:1
|
作者
Hengyu Hui [1 ]
Minglei Bao [1 ]
Yi Ding [1 ]
Yang Yang [2 ]
Yusheng Xue [3 ]
机构
[1] the College of Electrical Engineering, Zhejiang University
[2] the Department of Industrial Systems Engineering and Management, National University of Singapore
[3] State Grid Electric Power Research Institute
关键词
D O I
暂无
中图分类号
TM73 [电力系统的调度、管理、通信];
学科分类号
080802 ;
摘要
With the growing interdependence between the electricity system and the natural gas system, the operation uncertainties in either subsystem, such as wind fluctuations or component failures, could have a magnified impact on the reliability of the whole system due to energy interactions. A joint reserve scheduling model considering the cross-sectorial impacts of operation uncertainties is essential but still insufficient to guarantee the reliable operation of the integrated electricity and natural gas system(IEGS). Therefore, this paper proposes a day-ahead security-constrained unit commitment(SCUC)model for the IEGS to schedule the operation and reserve simultaneously considering reliability requirements. Firstly, the multi-state models for generating units and gas wells are established. Based on the multi-state models, the expected unserved energy cost(EUEC) and the expected wind curtailment cost(EWC) criteria are proposed based on probabilistic methods considering wind fluctuation and random failures of components in IEGS. Furthermore, the EUEC and EWC criteria are incorporated into the day-ahead SCUC model, which is nonconvex and mathematically reformulated into a solvable mixed-integer second-order cone programming(MISOCP) problem. The proposed model is validated using an IEEE 30-bus system and Belgium 20-node natural gas system. Numerical results demonstrate that the proposed model can effectively schedule the energy reserve to guarantee the reliable operation of the IEGS considering the multiple uncertainties in different subsystems and the cross-sectorial failure propagation.
引用
收藏
页码:1494 / 1506
页数:13
相关论文
共 50 条
  • [31] Nonparametric probabilistic forecasting based stochastic optimal scheduling of integrated electricity and gas systems
    Chen, Jinyu
    Chen, Dawei
    [J]. FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [32] Optimal energy scheduling for microgrids considering electricity -carbon trading
    Song, Fengchen
    Liu, Kaicheng
    Lv, Quanpeng
    Zhang, Kai
    Wang, Luhao
    Wang, Linlin
    [J]. 2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 1580 - 1585
  • [33] Identifying Optimal Energy Flow Solvability in Electricity-Gas Integrated Energy Systems
    Chen, Sheng
    Wei, Zhinong
    Sun, Guoqiang
    Cheung, Kwok W.
    Wang, Dan
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2017, 8 (02) : 846 - 854
  • [34] Developing optimal energy management of integrated energy systems in the hybrid electricity and gas networks
    Monfaredi, Farzam
    Shayeghi, Hossein
    Bizon, Nicu
    [J]. JOURNAL OF ENERGY STORAGE, 2022, 48
  • [35] Developing optimal energy management of integrated energy systems in the hybrid electricity and gas networks
    Monfaredi, Farzam
    Shayeghi, Hossein
    Bizon, Nicu
    [J]. Journal of Energy Storage, 2022, 48
  • [36] Probabilistic Optimal Energy Flow of Electricity-Gas-Heat Integrated Energy System Considering Correlation
    Han J.
    Miao S.
    Li C.
    Duan S.
    Li Y.
    [J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2019, 34 (05): : 1055 - 1067
  • [37] Optimal Scheduling of Integrated Energy System Considering Hydrogen Blending Gas and Demand Response
    Zheng, Zijie
    Xiwang, Abuduwayiti
    Sun, Yufeng
    [J]. ENERGIES, 2024, 17 (08)
  • [38] Optimal scheduling of integrated energy system considering carbon capture and power-to-gas
    Luo Z.
    Wang J.
    Wang H.
    Zhao W.
    Yang L.
    Shen X.
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (12): : 127 - 134
  • [39] Coordinated scheduling of electricity-heat-gas integrated energy system considering emerging energy conversion technologies
    Liang, Bomiao
    Liu, Weijia
    Zhang, Jinjiang
    [J]. ENERGY REPORTS, 2023, 9 : 136 - 144
  • [40] Multi-period optimal energy flow for electricity-gas integrated systems considering gas inertia and wind power uncertainties
    Fan, Jiale
    Tong, Xiaoyang
    Zhao, Junbo
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 123