Optimal Power Management Strategy for Industrial Users Based on the State Task Network Considering User Preferences

With continuous development of smart grid technology, the interaction between the power system and user-side resources is constantly strengthening. Among various users who can participate in demand response (DR), industrial users have the characteristics of large power consumption and high degree of equipment automation, and hence can be scheduled more flexibly. In this paper, an optimal power management strategy for industrial users based on the state task network (STN) is proposed to assist industrial users specifically scheduling electrical equipment with an objective of minimizing electricity costs. Taking into account the user preferences for production equipment, the electricity consumption of users during the peak electricity price period could be significantly reduced through optimized operation of the schedulable task nodes of industrial users. Case studies are carried out to demonstrate the feasibility and effectiveness of the proposed method and to examine the impacts of applying the proposed method on industrial production processes and economic benefits of industrial users.