Volume 68

A Demand Response Control Strategy for Automotive Manufacturing Parks Considering Material Coupling and Process Constraints Zijie Ren, Bowen Zhou, Juan Yan

Abstract

To address issues in existing demand response research, such as oversimplified industrial process modeling, insufficient multi-timescale coupling, and lack of multi-production line coordination, this paper proposes a demand response control strategy for automotive manufacturing parks that accounts for material coupling and process constraints. First, a refined power model for each production line is developed, utilizing Resource Task Network (RTN) to characterize inter-line material coupling, thereby establishing a park-level load adjustability modeling method tailored for demand response. Second, a revenue settlement mechanism and effective response criteria are designed, and a “boundary-capacity” collaborative optimization method is introduced. The first stage determines the optimal production baseline and power adjustable boundaries, while the second stage optimizes the economically optimal response capacity within these boundaries. Simulation results demonstrate that, while ensuring order fulfillment, the proposed method reduces operating costs by 8.92% compared to the default scheduling scheme, validating its effectiveness in enhancing demand response capability and economic performance.

Keywords Automotive manufacturing park, demand response, Resource Task Network, Load Modeling, Production Scheduling Optimization