Industry demand response in dispatch strategy for high-proportion renewable energy power system

• Published in: Journal of Automation and Intelligence Vol. 3; no. 4; pp. 191 - 201
• Main Authors: Xinxin Long, Zhixian Ni, Yuanzheng Li, Tao Yang, Zhigang Zeng, Mohammad Shahidehpour, Tianyou Chai
• Format: Journal Article
• Language: English
• Published: KeAi Communications Co., Ltd 01.12.2024
• Subjects: Industrial demand response; Multi-objective optimization; Stochastic optimization approach; Wind power utilization
• ISSN: 2949-8554
• DOI: 10.1016/j.jai.2024.08.002

On the power supply side, renewable energy (RE) is an important substitute to traditional energy, the effective utilization of which has become one of the major challenges in risk-constrained power system operations. This paper proposes a risk-based power dispatching strategy considering the demand response (DR) and RE utilization in the stochastic optimal scheduling of parallel manufacturing process (PMP) in industrial manufacturing enterprises (IME). First, the specific production behavior model of PMP is formulated to characterize the flexibility of power demand. Then, a two-step strategic model is proposed to comprehensively quantify multiple factors in the optimal scheduling of DR in PMP loads considering risk-based power system dispatch, thermal generators, wind power integration. Case studies are based on the modified IEEE 24-bus power system, which verify the effectiveness of the proposed strategy in optimally coordinating IME assets with generation resources for promoting the RE utilization, as well as the impacts of power transmission risk on decision performance.