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Capacity Optimization Allocation of Multi-Energy-Coupled Integrated Energy System Based on Energy Storage Priority Strategy

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Název: Capacity Optimization Allocation of Multi-Energy-Coupled Integrated Energy System Based on Energy Storage Priority Strategy
Autoři: Xiang Liao, Runjie Lei, Shuo Ouyang, Wei Huang
Zdroj: Energies, Vol 17, Iss 21, p 5261 (2024)
Informace o vydavateli: MDPI AG, 2024.
Rok vydání: 2024
Sbírka: LCC:Technology
Témata: multi-energy coupling, integrated energy system, multi-objective algorithm, energy allocation strategy, Technology
Popis: As the global focus on environmental conservation and energy stability intensifies, enhancing energy efficiency and mitigating pollution emissions have emerged as pivotal issues that cannot be overlooked. In order to make a multi-energy-coupled integrated energy system (IES) that can meet the demand of load diversity under low-carbon economic operation, an optimal capacity allocation model of an electricity–heat–hydrogen multi-energy-coupled IES is proposed, with the objectives of minimizing operating costs and pollutant emissions and minimizing peak-to-valley loads on the grid side. Different Energy management strategies with different storage priorities are proposed, and the proposed NSNGO algorithm is used to solve the above model. The results show that the total profit after optimization is 5.91% higher on average compared to the comparison type, and the pollutant emission scalar function is reduced by 980.64 (g), which is 7.48% lower. The peak–valley difference of the regional power system before optimization is 0.5952, and the peak–valley difference of the regional power system after optimization is 0.4142, which is reduced by 30.40%, and the proposed capacity allocation method can realize the economic operation of the multi-energy-coupled integrated energy system.
Druh dokumentu: article
Popis souboru: electronic resource
Jazyk: English
ISSN: 1996-1073
Relation: https://www.mdpi.com/1996-1073/17/21/5261; https://doaj.org/toc/1996-1073
DOI: 10.3390/en17215261
Přístupová URL adresa: https://doaj.org/article/724e9af4fa2f43b3ae8c271b83e5d308
Přístupové číslo: edsdoj.724e9af4fa2f43b3ae8c271b83e5d308
Databáze: Directory of Open Access Journals
Popis
Abstrakt:As the global focus on environmental conservation and energy stability intensifies, enhancing energy efficiency and mitigating pollution emissions have emerged as pivotal issues that cannot be overlooked. In order to make a multi-energy-coupled integrated energy system (IES) that can meet the demand of load diversity under low-carbon economic operation, an optimal capacity allocation model of an electricity–heat–hydrogen multi-energy-coupled IES is proposed, with the objectives of minimizing operating costs and pollutant emissions and minimizing peak-to-valley loads on the grid side. Different Energy management strategies with different storage priorities are proposed, and the proposed NSNGO algorithm is used to solve the above model. The results show that the total profit after optimization is 5.91% higher on average compared to the comparison type, and the pollutant emission scalar function is reduced by 980.64 (g), which is 7.48% lower. The peak–valley difference of the regional power system before optimization is 0.5952, and the peak–valley difference of the regional power system after optimization is 0.4142, which is reduced by 30.40%, and the proposed capacity allocation method can realize the economic operation of the multi-energy-coupled integrated energy system.
ISSN:19961073
DOI:10.3390/en17215261