Information Gap Decision Theory-based Robust Scheduling of Coal Mine Integrated Energy Systems with Power-to-gas

被引：0
|
作者：
Lü C. [1 ]
Sun W. [1 ]
Liang R. [1 ]
Luo G. [1 ]
Lin S. [1 ]
Cheng Y. [1 ]
机构：
[1] School of Electrical Engineering, China University of Mining and Technology, Xuzhou
来源：
Gaodianya Jishu/High Voltage Engineering | 2023年 / 49卷 / 10期
基金：
中国国家自然科学基金;
关键词：
coal mine integrated energy system; coal-associated resources; energy accommodation; information gap decision theory; power to gas; uncertainties;
D O I：
10.13336/j.1003-6520.hve.20230358
中图分类号：
学科分类号：
摘要：
During coal mining process, a large number of associated resources are derived for production and living. To meet the requirements of coal-associated resources recycling and reliable operation under severe resource disturbances, this paper proposes an information gap decision theory-based (IGDT-based) robust scheduling of coal mine integrated energy systems (CMIES) with power-to-gas (P2G). Firstly, according to the resource endowment and geological characteristics of coal mines, a multi-resource recycling framework considering P2G and mashgas blending is built, in which P2G and mashgas storage utilization are comprehensively combined. Secondly, a deterministic scheduling model is established to minimize the operation and energy abandonment costs, while the mine-resource energy recovery and multi-link operation constraints are considered simultaneously. Thirdly, an IGDT-based robust optimization strategy under empirical proportional disturbance is put forward to quantify the uncertainties of associated resources, and the weight correction factors are integrated for dealing with resource empirical proportional disturbance. Finally, case analysis is conducted using actual coal mine data. The results show that the strategy can contribute to energy accommodation and improve the comprehensive operational benefit in coal mines. Additionally, the scheduling strategy has strong robustness to source-load uncertainties. © 2023 Science Press. All rights reserved.
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页码：4203 / 4212
页数：9
相关论文
共 25 条
  • [11] ZUO Fengyuan, ZHANG Yuqiong, ZHAO Qiang, Et al., Two-stage stochastic optimization for operation scheduling and capacity allocation of integrated energy production unit considering supply and demand uncertainty, Proceedings of the CSEE, 42, 22, pp. 8205-8214, (2022)
  • [12] LI Xiaozhu, WANG Weiqing, WANG Haiyun, Et al., Robust optimized operation strategy for cross-region flexibility with bilateral uncertainty of load source, High Voltage Engineering, 46, 5, pp. 1548-1556, (2020)
  • [13] ZHOU Xingqiu, ZHENG Lingwei, YANG Lan, Et al., Day-ahead optimal dispatch of an integrated energy system considering multiple uncertainty, Power System Technology, 44, 7, pp. 2466-2473, (2020)
  • [14] PENG Chunhua, CHEN Lu, ZHANG Jinke, Et al., Multi-objective optimal allocation of energy storage in distribution network based on classified probability chance constraint information gap decision theory, Proceedings of the CSEE, 40, 9, pp. 2809-2818, (2020)
  • [15] HMADI A, ESMAEEL NEZHAD A, SIANO P, Et al., Information-gap decision theory for robust security-constrained unit commitment of joint renewable energy and gridable vehicles, IEEE Transactions on Industrial Informatics, 16, 5, pp. 3064-3075, (2020)
  • [16] WEI Zhenbo, GUO Yi, WEI Ping'an, Et al., IGDT-based multi-objective expansion planning model for integrated natural gas and electric power systems, High Voltage Engineering, 48, 2, pp. 526-535, (2022)
  • [17] ZHAO Y X, LIN Z Z, WEN F S, Et al., Risk-constrained day-ahead scheduling for concentrating solar power plants with demand response using info-gap theory, IEEE Transactions on Industrial Informatics, 15, 10, pp. 5475-5488, (2019)
  • [18] BEN-HAIM Y., Info-gap decision theory: decisions under severe uncertainty, pp. 37-44, (2006)
  • [19] LI Dongdong, YOU Yang, ZHOU Bo, IGDT-based decision-making optimization of electricity retailers under multi-market, Power System Technology, 46, 12, pp. 4778-4788, (2022)
  • [20] DOLATABADI A, JADIDBONAB M, MOHAMMADI-IVATLOO B., Short-term scheduling strategy for wind-based energy hub: a hybrid stochastic/IGDT approach, IEEE Transactions on sustainable energy, 10, 1, pp. 438-448, (2019)
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