Keywords
industrial users; production characteristics; refinement; power management and control
Abstract
Under the background of “double carbon”, the participation of industrial users with regulatory potential in demand‑side management can improve the flexibility of the power system, relieve the pressure of power supply, and ensure the safe and stable operation of the power system. However, the traditional power management method of industrial users is generally 0‑1 mode, which seriously affects the continuity of production, cannot guarantee the maximization of social benefits, and cannot become a normalized demand‑side management mechanism to support the goal of ‘double carbon’. Therefore, this paper proposes a refined demand response decision‑making method considering the production characteristics of industrial users. Firstly, the four major characteristics of enterprises power consumption, namely, guaranteed power supply, periodicity, continuity and coupling are analyzed. Then, with the goal of maximizing the power consumption of all users, the power consumption optimization model considering the internal constraints of industrial users, such as the minimum guaranteed power supply, the minimum power consumption cycle, the maximum load change rate and the load coupling correlation, as well as the external constraints such as the total power consumption and the load curve is constructed. On this basis, in order to ensure the reliability of model solving and improve the efficiency of model solving, a linearized solution method is proposed. Finally, based on the actual data of an industrial park in an eastern province of our country, the proposed model is verified. The results show that the proposed method can guarantee the production characteristics of industrial users and improve the benefits of enterprises under the premise of meeting the control objectives of total power consumption and load curve.
DOI
10.19781/j.issn.1673-9140.2023.06.005
First Page
45
Last Page
54
Recommended Citation
SUN, Shijie; YE, Chengjin; GUO, Chao; DING, Yi; LI, Qingsheng; LI, Zhen; ZHU, Yongqing; and ZHANG, Yan
(2024)
"A refined power management and control model considering the production characteristics of industrial users and its empirical research,"
Journal of Electric Power Science and Technology: Vol. 38:
Iss.
6, Article 5.
DOI: 10.19781/j.issn.1673-9140.2023.06.005
Available at:
https://jepst.researchcommons.org/journal/vol38/iss6/5