Integrated Intelligent Energy ›› 2025, Vol. 47 ›› Issue (3): 73-83.doi: 10.3969/j.issn.2097-0706.2025.03.007

• Load Modeling and Potential Analysis • Previous Articles     Next Articles

Intra-day multi-time scale rolling optimization scheduling of mine integrated energy system considering integrated demand response

JIANG Meihui1,2(), XU Zhenjiang1, NIU Tongke1, ZHU Hongyu1,2,*(), LI Xiang1   

  1. 1. School of Electrical Engineering, Guangxi University, Nanning 530004, China
    2. School of Renewable Energy, Inner Mongolia University of Technology, Ordos 017010, China
  • Received:2024-04-30 Revised:2024-08-04 Accepted:2024-09-29 Published:2025-03-25
  • Contact: ZHU Hongyu E-mail:meihuijiang@yeah.net;hongyuzhu_cq@yeah.net
  • Supported by:
    National Natural Science Foundation of China(52107083);Guangxi Science and Technology Major Program(AA22068071)

Abstract:

To address the challenges of high energy consumption, low resource utilization, and significant uncertainty in source-load demand in mining areas, this study established a mine integrated energy system (MIES) based on coal mines. The system incorporated a demand response mechanism and a multi-time scale rolling optimization strategy to enhance economic operational efficiency. Firstly, a refined integrated demand response model was constructed for power and thermal loads on the demand side to maximize the schedulability and flexibility of various loads in mining areas. Subsequently, integrating a multi-time scale optimization strategy, an intra-day multi-time scale optimization model was developed, aiming to minimize deviations from the day-ahead plan. The model set each optimization cycle to 4 h and performed optimization every 15 min, using this rolling optimization strategy to effectively adjust the day-ahead scheduling plan. Finally, simulations and comparative analyses of different case studies demonstrated the effectiveness of the integrated demand response and multi-time scale optimization strategies in promoting low-carbon operation and managing uncertainty in MIES.

Key words: mine integrated energy system, wind power accommodation, integrated demand response, multi-time scale, rolling optimization, low-carbon operation

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