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.
Authors
- Xingxu Zhu
- Peng Yu (ORCID: https://orcid.org/0000-0002-8754-1736)
- Yan Li (ORCID: https://orcid.org/0000-0003-0749-6232)
- Meng Yu (ORCID: https://orcid.org/0000-0003-2554-2888)
- Jiong Zhang (ORCID: https://orcid.org/0000-0002-5920-6252)
- Junhui Li (ORCID: https://orcid.org/0000-0001-6344-6147)
- Hengyu Liu (ORCID: https://orcid.org/0000-0001-9356-7636)
Institutions
- State Grid Corporation of China (China) (CN)
- Northeast Electric Power University (CN)
- Shanghai Electric (China) (CN)
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
- 0.00