Multi-Objective Operation Strategy for Low Carbon Industrial Integrated Energy System Based on Knee Point-Driven

Lei YU , Yang WANG , Xinhao LIN , Zihong SONG , Shuyin DUAN , Yinliang LIU , Youzhuo ZHENG , Zhukui TAN , Tong LIU

›› 2026, Vol. 20 ›› Issue (4) : 87 -95.

PDF
›› 2026, Vol. 20 ›› Issue (4) : 87 -95. DOI: 10.13648/j.cnki.issn1674-0629.2026.04.008
research-article

Multi-Objective Operation Strategy for Low Carbon Industrial Integrated Energy System Based on Knee Point-Driven

Author information +
History +
PDF

Abstract

The operation strategy of an integrated energy system is crucial to achieve complementary advantages among various energy sources. Therefore, a day-ahead multi-objective optimal operation strategy for low carbon industrial integrated energy system based on knee point-driven is proposed. Firstly, the mathematical model of an electric-gas-heat industrial integrated energy system with an automatic assembly line production system is developed. Then, the multi-objective optimal operation model with the goal of minimizing the energy consumption cost and carbon emissions for the industrial integrated energy system is formulated. Finally, a knee point-driven approach is developed to solve the multi-objective optimization problem. Experimental results show that the knee point-driven multi-objective optimal operation strategy can make full use of time-of-use electricity price and the dispatchable loads to reduce energy cost and carbon emission.

Keywords

integrated energy system / knee point-driven / multi-objective optimization / economic and low-carbon / operation strategy

Cite this article

Download citation ▾
Lei YU,Yang WANG,Xinhao LIN,Zihong SONG,Shuyin DUAN,Yinliang LIU,Youzhuo ZHENG,Zhukui TAN,Tong LIU. Multi-Objective Operation Strategy for Low Carbon Industrial Integrated Energy System Based on Knee Point-Driven. 2026, 20(4): 87-95 DOI:10.13648/j.cnki.issn1674-0629.2026.04.008

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

the Science and Technology Project of Guizhou Power Grid Co., Ltd(GZKJXM2021 0484)

PDF

14

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/