Multi-media Energy Planning Optimization of Steel Based on Improved MOEA/D

Authors

Hongcai Ouyang, 1.Key Laboratory of Advanced Process Control of Light Industry Process Ministry of Education Department, Wuxi, 214000, China;Follow
Dinghui Wu, 1.Key Laboratory of Advanced Process Control of Light Industry Process Ministry of Education Department, Wuxi, 214000, China;Follow
Junyan Fan, 1.Key Laboratory of Advanced Process Control of Light Industry Process Ministry of Education Department, Wuxi, 214000, China;
Jing Wang, 2.Shanghai Baosight Software Co. Ltd, Shanghai, 201999, China;

Abstract

Abstract: To address the problems of multi-media iron and steel energy planning model with more variables, complex constraints and high difficulty in model solving, an improved MOEA/D (decomposition-based multi-objective evolutionary algorithm) based on adaptive neighborhood is proposed to realize multi-media energy planning optimization. Considering the characteristics of TOU price and the buffer effect of gas holder, the objective function to minimize operation cost and total energy consumption is constructed. And the model constraints are designed such as energy supply and demand balance. The decoding method based on energy production and consumption rules is designed to determine the target value. The normalized Chebyshev aggregation function and the adaptive neighborhood update of population evolution degree are used to improve the design of MOEA/D energy planning optimization algorithm. Through simulation and comparison experiments, it is verified that the improved MOEA/D can effectively realize energy planning optimization and improve the convergence of the solution. The optimized scheme reduces the operation cost by 1.3% and energy consumption by 1.2%.

Recommended Citation

Ouyang, Hongcai; Wu, Dinghui; Fan, Junyan; and Wang, Jing (2023) "Multi-media Energy Planning Optimization of Steel Based on Improved MOEA/D," Journal of System Simulation: Vol. 35: Iss. 3, Article 11.
DOI: 10.16182/j.issn1004731x.joss.21-1110
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss3/11

First Page

568

Revised Date

2021-12-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-1110

Last Page

578

CLC

TP18

Recommended Citation

Hongcai Ouyang, Dinghui Wu, Junyan Fan, Jing Wang. Multi-media Energy Planning Optimization of Steel Based on Improved MOEA/D[J]. Journal of System Simulation, 2023, 35(3): 568-578.

Corresponding Author

Dinghui Wu,wdh123@jiangnan.edu.cn

DOI

10.16182/j.issn1004731x.joss.21-1110