2023
DOI: 10.3389/fenrg.2023.1218035
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Optimal configuration and operation of the regional integrated energy system considering carbon emission and integrated demand response

Abstract: Under the “carbon peaking and carbon neutrality” development strategy, in order to suppress load fluctuations and promote renewable energy consumptions in the regional integrated energy system involving concentrating solar power stations, a double-layer optimization model based on the improved non-dominated sorting genetic algorithm-II (NSGA-II) and mixed integer linear programming (MILP) is proposed. The upper layer completes the capacity configuration process based on multiple objectives to minimize the annu… Show more

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Cited by 1 publication
(1 citation statement)
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References 25 publications
(19 reference statements)
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“…Shen et al (2020) proposed data-driven robust planning for industrial integrated energy systems in response to various uncertainties. Zeng et al (2023) proposed a double-layer optimization model based on the improved non-dominated sorting genetic algorithm-II (NSGA-II) and mixed-integer linear programming (MILP). Zhang et al (2023) proposed a low-carbon economic dispatch model for an integrated energy system that considers an LCES and carbon capture system.…”
Section: Related Workmentioning
confidence: 99%
“…Shen et al (2020) proposed data-driven robust planning for industrial integrated energy systems in response to various uncertainties. Zeng et al (2023) proposed a double-layer optimization model based on the improved non-dominated sorting genetic algorithm-II (NSGA-II) and mixed-integer linear programming (MILP). Zhang et al (2023) proposed a low-carbon economic dispatch model for an integrated energy system that considers an LCES and carbon capture system.…”
Section: Related Workmentioning
confidence: 99%