• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (1): 1-11.doi: 10.12204/j.issn.1000-7229.2023.01.001

• National Key R&D Program of China • Previous Articles     Next Articles

Multi-Timescale Trading Strategies for the Participation of Multi-Energy Demand Response in the Consumption of Blocked New Energy Sources

ZHANG Yaoxiang1(), LIU Wenying1, PANG Qinglun1, LI Yalou2, AN Ning2, LI Fang2   

  1. 1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
    2. China Electric Power Research Institute, Beijing 100192, China
  • Received:2022-08-12 Online:2023-01-01 Published:2022-12-26
  • Contact: ZHANG Yaoxiang E-mail:zhangyx_94@163.com


With the rapid development of new energy generation technology, the pressure of new energy consumption in the power grid is increasingly prominent. At the same time, with the development of multi-energy conversion technology, the degree of coupling between power grids and other types of energy networks is increasing. How to use the flexibility resources of different energy networks to dissipate the blocked new energy has become an urgent issue to be studied. This paper proposes a multi-timescale trading strategy that takes into account the multi-energy demand response to participate in the consumption of blocked new energy sources. First, a multi-type demand response model for cold, heat and electric loads is established with full consideration of the characteristics of integrated energy system (IES). Secondly, a price-based integrated demand response (IDR) day-ahead optimal scheduling model based on master-slave game theory is established in the day-ahead time scale, considering the equilibrium of interests of all parties in the process of new energy consumption. At the intra-day time scale, an incentive-based IDR intra-day rolling optimization scheduling model is developed to address the impact of the deviation from the new energy day-ahead forecast on system optimization.

Finally, the effectiveness of the strategy proposed in this paper is verified by case simulation. This work is supported by National Key R&D Program of China (No. 2018YFE0208400).

Key words: integrated demand response (IDR), new energy consumption, master-slave game, multi-timescale, integrated energy system (IES)

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