An Intelligent Electricity Scheduling Model for Cement Plants Based on STN

Implementing demand-side management for industrial users is an essential measure to alleviate the inadequate regulation capability of the new power system. However, the demand response of industrial users mostly relies on manual decision-making, leading to issues of response unpredictability and irrational decision-making. To effectively utilize the regulatory role of industrial loads and enhance the intelligence of demand response among industrial users, this paper proposes an intelligent electricity scheduling model based on the State-Task Network (STN). Firstly, focusing on typical high-energy-consuming loads such as cement plants, a mathematical model describing the characteristics of cement production lines is established using the STN method, while considering the electricity consumption of production processes to model the electricity load of cement plants. Building upon this, comprehensively considering the influences of user-owned photovoltaic power generation and price-based demand response (time-of-use electricity price, TOU) in a general manner, an electricity intelligent scheduling model to minimize electricity costs is established. Finally, it is applied to the actual production of a cement plant in the Dali region, and the results indicate that the model has great application effects. It can effectively reduce users' energy costs and reasonably evaluate their potential for participating in demand response.