Integrated Intelligent Energy ›› 2025, Vol. 47 ›› Issue (10): 52-59.doi: 10.3969/j.issn.2097-0706.2025.10.006

• New Energy and Energy Storage System Optimization • Previous Articles     Next Articles

Coordinated scheduling strategy for wind power integrated power systems considering participation of steel enterprises

GAO Jiansheng1(), WANG Maxiang2,*(), XING Pengsheng1(), XIAO Zhu2()   

  1. 1. Jiugang (Group) Jiayuguan Hongsheng Electric Heating Company LimitedJiayuguan 735100, China
    2. State Grid Nari Technology Company LimitedNanjing 211106, China
  • Received:2025-02-20 Revised:2025-03-28 Published:2025-05-08
  • Contact: WANG Maxiang E-mail:952093772@qq.com;2672550737@qq.com;122365711@qq.com;36512029@qq.com
  • Supported by:
    National Key Science and Technology Project on Smart Grid(2025ZD0805400)

Abstract:

To address the challenges of large-scale renewable energy consumption in the current wind power integrated power systems and the lack of enthusiasm among steel enterprises to participate in scheduling, a coordinated scheduling strategy of wind power systems considering the participation of steel enterprises was proposed. The participation modes of steel enterprises in wind power consumption were analyzed, and modeling was conducted based on the scheduling characteristics of electric arc furnace. The data-driven method was used to generate large-scale scenarios, analyze the combined effect of uncertainties of electric arc furnace and wind power output, and determine the reserve capacity required by the power system to cope with uncertainty fluctuations. Based on the generated scenario set, an adaptive electricity price mechanism for steel enterprises was proposed, which considered the variation of wind power output and source-load fluctuation to encourage their participation in demand response. An optimal scheduling model considering the interests of multiple stakeholders was established and solved by the artificial bee colony algorithm. Numerical examples were then provided to simulate and verify the proposed method. The results showed that the proposed method could improve the economic efficiency and wind power consumption of the system while ensuring the scheduling enthusiasm of steel enterprises.

Key words: steel enterprises, wind power consumption, source-load coordination, adaptive electricity pricing, scenario generation, demand response, new power system

CLC Number: