Research on load demand response behavior strategies in the steel industry guided by price signals

The steel industry load has the advantages of high power consumption, high automation level, strong controllability, and strong demand response potential. In order to improve its enthusiasm for participating in the power grid and promote the consumption of renewable energy, the electricity response behavior and demand potential of each production process of the industrial load are first evaluated. The strategy of using price signals to guide the steel industry load in typical areas to participate in the demand response of the power system is proposed. Models are established for the power grid dispatch center and the industrial load response behavior respectively. In the process, the different interests and demands of the two parties, the power grid dispat ch and the industrial load, are comprehensively considered. A two-layer dispatch model is established to truly reflect the interactive game process between power supply and demand; To match the model solution with interaction, a hierarchical iterative algorithm is used to accelerate the convergence speed while ensuring the interaction between price signals and purchasing power between layers. Combining a certain industrial load area for case analysis, the results show that the proposed model not only improves the system's ability to absorb renewable energy, but also takes into account the interests and responsiveness of the steel industry load.

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Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0656
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
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Research on load demand response behavior strategies in the steel industry guided by price signals

Xingxu Zhu, Peng Yu, Yan Li, Meng Yu et al.
IET conference proceedings.
Power Systems and Renewable Energy
article

Research on load demand response behavior strategies in the steel industry guided by price signals

Xingxu Zhu, Peng Yu, Yan Li, Meng Yu, Jiong Zhang, Junhui Li, Hengyu Liu
article en

Abstract

The steel industry load has the advantages of high power consumption, high automation level, strong controllability, and strong demand response potential. In order to improve its enthusiasm for participating in the power grid and promote the consumption of renewable energy, the electricity response behavior and demand potential of each production process of the industrial load are first evaluated. The strategy of using price signals to guide the steel industry load in typical areas to participate in the demand response of the power system is proposed. Models are established for the power grid dispatch center and the industrial load response behavior respectively. In the process, the different interests and demands of the two parties, the power grid dispat ch and the industrial load, are comprehensively considered. A two-layer dispatch model is established to truly reflect the interactive game process between power supply and demand; To match the model solution with interaction, a hierarchical iterative algorithm is used to accelerate the convergence speed while ensuring the interaction between price signals and purchasing power between layers. Combining a certain industrial load area for case analysis, the results show that the proposed model not only improves the system's ability to absorb renewable energy, but also takes into account the interests and responsiveness of the steel industry load.

IET conference proceedings.Vol. 2024(33)
State Grid Corporation of China (China) (CN), Northeast Electric Power University (CN), Shanghai Electric (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Power Systems and Renewable Energy
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