Multi-objective optimization of rolling schedules for tandem cold rolling based on adaptive weight differential evolution algorithm

Li, Yong; Wang, Yu; Gai, Qun

doi:10.1109/icinfa.2012.6246843

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…Reasonable planning and optimization of power system operation can effectively realize the safe and stable operation of power industry while achieving the goal of high efficiency and low emission [1][2] . The scheduling of power systems is a typical multi-objective optimization problem, and the existing solution algorithms include backtracking search optimization algorithm [3] , multi-objective evolutionary algorithm [4][5][6] , multi-objective particle swarm optimization algorithm [7][8][9] , genetic algorithm [10][11] , etc. In summary, most of the existing studies are less concerned with the quantitative impact analysis and comprehensive optimization of energy storage on multiple objectives such as environment.…”

Section: Introductionmentioning

confidence: 99%

Low carbon optimal dispatch of power systems with energy storage and wind power

Li,

Jiang,

et al. 2023

Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023)

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Using a regional integrated energy system with the advantages of multi-energy complementarity and coupling, it can comprehensively enhance the optimal allocation of multiple energy consumption. This paper proposes a multi-objective low-carbon optimal dispatch model for a regional integrated energy system , which fully exploits the advantages of heat storage devices, electric boilers and electric energy storage in regional energy systems to promote the grid-connected consumption of wind power. By establishing a load elastic demand response mechanism, the peak-to-valley difference level of system load is reduced to further enhance the grid access space of wind power. Finally, the proposed scheduling model is optimally solved using the NSGA-II algorithm under the improved elite strategy.

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