MULTI-TIME SCALE SOURCE-LOAD INTERACTIVE OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM CONSIDERING LOW-CARBON DEMAND RESPONSE

被引:0
|
作者
Li, Yunzhi [1 ,2 ]
Liu, Jizhen [1 ,2 ]
Hu, Yang [2 ]
机构
[1] State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing
[2] School of Control and Computer Engineering, North China Electric Power University, Beijing
来源
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 11期
关键词
demand response; integrated energy system; low emission; multi-time scale; optimization scheduling; source-load interaction;
D O I
10.19912/j.0254-0096.tynxb.2023-1115
中图分类号
学科分类号
摘要
To realize the secure,flexible,and low-carbon operation of integrated energy system,an optimal scheduling strategy that considers the low-carbon demand response is proposed. This strategy considers the interaction between source and load sides and conducts research at multi-time scales,including day-ahead and intra-day. Firstly,a hybrid energy hub model is established based on the system structure and multi-energy complementary,incorporating elements of demand response load and energy storage. Then,a demand response strategy is devised for contracted and real-time response loads that possess varying response speeds,and within the system,scheduling information is communicated to attain a low-carbon demand response through interactive means. Finally,the day-ahead optimal scheduling considering the shared cost of carbon emission is implemented,with the aim of achieving the lowest economic cost,the lowest carbon emission,and the highest user comfort. The day-ahead plan guides the performance of intra-day rolling and real-time optimal scheduling. The simulation results indicate that the proposed strategy can efficiently exploit the scheduling potential of both source and load resources,mitigate the accommodation issue of renewable energy,and furnish insights for the economic and low-carbon scheduling of integrated energy systems. © 2024 Science Press. All rights reserved.
引用
收藏
页码:84 / 96
页数:12
相关论文
共 25 条
  • [1] CUI Y, ZENG P,, Et al., Multi-time scale source-load dispatch method of power system with wind power considering low-carbon characteristics of carbon capture power plant[J], Proceedings of the CSEE, 42, 16, pp. 5869-5886, (2022)
  • [2] SHI Q S, DING J Y,, LIU K, Et al., Economic optimal operation of microgrid integrated energy system with electricity,gas and heat storage[J], Electric power automation equipment, 39, 8, pp. 269-276, (2019)
  • [3] ZHOU J,, WU Y,, ZHONG Z,, Et al., Modeling and configuration optimization of the natural gas-wind-photovoltaic-hydrogen integrated energy system:a novel deviation satisfaction strategy[J], Energy conversion and management, 243, 1, (2021)
  • [4] CAI Q Q,, XIAO Y,, ZHU Y Q., Day-ahead economic coordination dispatch model of electricity-heat microgrid considering P2H and fuel cells[J], Electric power automation equipment, 41, 10, pp. 107-112, (2021)
  • [5] WU J, WANG J J,, ZHANG Q, Et al., Two-stage robust cooperative scheduling for electricity-gas integrated energy system considering power-to-gas for wind power accommodation[J], Acta energiae solaris sinica, 43, 2, pp. 436-443, (2022)
  • [6] SUI X, LU S Y,, SU A L, Et al., Research on multi-objective optimal scheduling of nuclear power considering wind power and flexible load[J], Proceedings of the CSEE, 39, 24, pp. 7232-7241, (2019)
  • [7] DUAN J N, FENG L N,, Et al., Synergistic gains allocation for multi-stakeholder wind-solar-hydro-hydrogen energy system based on cooperative game theory[J], Power system technology, 46, 5, pp. 1703-1711, (2022)
  • [8] FENG C S, WEN F S, YOU S,, Et al., Coalitional game-based transactive energy management in local energy communities[J], IEEE transactions on power systems, 35, 3, pp. 1729-1740, (2020)
  • [9] ZHOU X, HAN X Q, LI T J,, Et al., Master-slave game optimal scheduling strategy for multi-agent integrated energy system based on demand response and power interaction[J], Power system technology, 46, 9, pp. 3333-3346, (2022)
  • [10] XU Z, XIE D L,, Et al., Optimal configuration of energy storage for integrated region energy system considering power/thermal flexible load[J], Automation of electric power systems, 44, 2, pp. 53-59, (2020)