Optimal Dispatching of Integrated Energy System Considering Operation Flexibility Constraints

被引:0
|
作者
Ji X. [1 ]
Liu J. [1 ]
Zhang Y. [1 ]
Yu Y. [2 ]
Han X. [2 ]
Zhang X. [1 ]
机构
[1] College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao
[2] Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education, Shandong University, Jinan
基金
中国国家自然科学基金;
关键词
flexibility; integrated energy system; network dynamic characteristics; optimal dispatching; sub-hourly-time-scale;
D O I
10.7500/AEPS20211010003
中图分类号
学科分类号
摘要
The integrated energy system (IES) of electricity-gas-heat interconnection presents the characteristics of multiple time scales in the process of energy transmission, and the dynamic characteristics of the gas-heat network contain abundant flexible capacity. Fully tapping the potential flexibility of IES can effectively improve the consumption level of renewable energy. Thereby, an optimal dispatching model of IES considering the flexibility of sub-hourly-time-scale operation is proposed. Based on the analysis of the system operation regularity in the net load variation interval, the mathematical expression of power system flexibility demand and resources is derived. Then, the dynamic characteristics of gas network and heat network are analyzed, and the mathematical models of gas network and heat network which provide operation flexibility are established, respectively. Based on this, an optimal dispatching model of IES considering the flexibility constraints of sub-hourly-time-scale operation is constructed, and the nonlinear constraints in the model are linearized. Finally, the case studies on the modified electricity-gas-heat 24-20-16 bus system demonstrate that the dynamic characteristics of the gas-heat network can enhance the system flexibility in a short time scale and significantly improve the economy of system operation. © 2022 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:84 / 94
页数:10
相关论文
共 28 条
  • [1] LI Haibo, LU Zongxiang, QIAO Ying, Et al., Assessment on operational flexibility of power grid with grid-connected large-scale wind farms, Power System Technology, 39, 6, pp. 1672-1678, (2015)
  • [2] JI Xingquan, HAO Qing, ZHANG Yumin, Et al., Unit commitment based on N-k distributionally robust optimization under uncertain distribution, Automation of Electric Power Systems, 46, 2, pp. 56-64, (2022)
  • [3] XIAO Yunpeng, WANG Xifan, WANG Xiuli, Et al., Review on electricity market towards high proportion of renewable energy, Proceedings of the CSEE, 38, 3, pp. 663-674, (2018)
  • [4] WANG Y L, WANG Y D, HUANG Y J, Et al., Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network, Applied Energy, 251, (2019)
  • [5] MU Y F, CHEN W Q, YU X D, Et al., A double-layer planning method for integrated community energy systems with varying energy conversion efficiencies, Applied Energy, 279, (2020)
  • [6] LU Zongxiang, LI Haibo, QIAO Ying, Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity, Proceedings of the CSEE, 37, 1, pp. 9-20, (2017)
  • [7] ZHANG Gaohang, LI Fengting, Day-ahead optimal scheduling of power system considering comprehensive flexibility of source-load-storage, Electric Power Automation Equipment, 40, 12, pp. 159-167, (2020)
  • [8] HUANG Pengxiang, ZHOU Yunhai, XU Fei, Et al., Source-load-storage coordinated rolling dispatch for wind power integrated power system based on flexibility margin, Electric Power, 53, 11, pp. 78-88, (2020)
  • [9] TANG Xiangying, HU Yan, GENG Qi, Et al., Multi-time-scale optimal scheduling of integrated energy system considering multi-energy flexibility, Automation of Electric Power Systems, 45, 4, pp. 81-90, (2021)
  • [10] CLEGG S, MANCARELLA P., Integrated electrical and gas network flexibility assessment in low-carbon multi-energy systems, IEEE Transactions on Sustainable Energy, 7, 2, pp. 718-731, (2015)