The weekly fluctuations in renewable energy output

represented by wind and solar power

can lead to imbalances in power and energy within the power system on a multi-day scale

thereby necessitating greater demand for adjustable resources. Industrial loads

with their advantages such as large response capacity and high automation level

offer significant adjustment potential for ensuring the power system's multi-day power and energy balance. However

industrial loads feature hybrid discrete and continuous production processes

multiple time-series coupling in production

and multi-energy coupling. Additionally

production must adhere to the constraints of continuity and safety

making it challenging to integrate them directly into power system regulation. Taking short-process steel enterprises based on electric furnace steelmaking

with significant adjustment potential

as an example

this paper proposes a multi-day unit commitment optimization method that considers the temporal coupling of production processes in steel enterprises. This method aims to explore the potential of industrial load regulation and extend it to other loads. Initially

the production process

energy consumption characteristics

and adjustment features of short process steel enterprises are introduced. Based on the complex characteristics of steel production processes

a model for adjusting steel production is established. Subsequently

considering the actual demands of the power system

an optimization model is formulated for steel loads participating in the multi-day unit commitment of the power system

which determines the optimal unit output arrangement and production plan for steel enterprises. Finally

through a typical example

it is verified that the proposed method can not only ensure the continuous production of steel but also provide additional adjustment capacity for the power system

thereby promoting the consumption of new energy.