Optimal scheduling of integrated energy system for low carbon considering combined weights

To handle the multiple-objective problem including carbon emission reduction and economic operation of integrated energy system (IES), this paper proposes an optimal scheduling model for IES considering combined weights for low-carbon and economic operation. In the dispatch model of IES, we mainly u...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiran Zhou, Yiming Ma, Haixin Wang, Yunlu Li, Jishuai Yu, Junyou Yang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Combined weights method Integrated energy systems Renewable energy accommodation Electric vehicle Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/4b284eb9a1ac45b090f741eb072af38d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4b284eb9a1ac45b090f741eb072af38d
record_format	dspace
spelling	oai:doaj.org-article:4b284eb9a1ac45b090f741eb072af38d2021-12-04T04:34:53ZOptimal scheduling of integrated energy system for low carbon considering combined weights2352-484710.1016/j.egyr.2021.11.060https://doaj.org/article/4b284eb9a1ac45b090f741eb072af38d2022-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721012051https://doaj.org/toc/2352-4847To handle the multiple-objective problem including carbon emission reduction and economic operation of integrated energy system (IES), this paper proposes an optimal scheduling model for IES considering combined weights for low-carbon and economic operation. In the dispatch model of IES, we mainly use the combined cold heat and power (CCHP) to optimize the energy distribution, and use the charge and discharge power of electric vehicles (EVs) to enhance the regulation capability of CCHP. Furthermore, aiming at the lowest carbon dioxide emission and economic cost, and the highest renewable energy accommodation, a multi-objective function considering combined weights is proposed, which combines subjective weights with objective weights. The balance constraints of electricity, heat and cold for the IES are established. Finally, the particle swarm optimization algorithm is used to optimize the multi-objective model based on the energy balance and unit constraints of IES. The proposed method is verified by the case studies. The results show that the proposed model can improve the accommodation of renewable energy and reduce carbon dioxide emissions.Xiran ZhouYiming MaHaixin WangYunlu LiJishuai YuJunyou YangElsevierarticleCombined weights methodIntegrated energy systemsRenewable energy accommodationElectric vehicleElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 8, Iss , Pp 527-535 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Combined weights method Integrated energy systems Renewable energy accommodation Electric vehicle Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Combined weights method Integrated energy systems Renewable energy accommodation Electric vehicle Electrical engineering. Electronics. Nuclear engineering TK1-9971 Xiran Zhou Yiming Ma Haixin Wang Yunlu Li Jishuai Yu Junyou Yang Optimal scheduling of integrated energy system for low carbon considering combined weights
description	To handle the multiple-objective problem including carbon emission reduction and economic operation of integrated energy system (IES), this paper proposes an optimal scheduling model for IES considering combined weights for low-carbon and economic operation. In the dispatch model of IES, we mainly use the combined cold heat and power (CCHP) to optimize the energy distribution, and use the charge and discharge power of electric vehicles (EVs) to enhance the regulation capability of CCHP. Furthermore, aiming at the lowest carbon dioxide emission and economic cost, and the highest renewable energy accommodation, a multi-objective function considering combined weights is proposed, which combines subjective weights with objective weights. The balance constraints of electricity, heat and cold for the IES are established. Finally, the particle swarm optimization algorithm is used to optimize the multi-objective model based on the energy balance and unit constraints of IES. The proposed method is verified by the case studies. The results show that the proposed model can improve the accommodation of renewable energy and reduce carbon dioxide emissions.
format	article
author	Xiran Zhou Yiming Ma Haixin Wang Yunlu Li Jishuai Yu Junyou Yang
author_facet	Xiran Zhou Yiming Ma Haixin Wang Yunlu Li Jishuai Yu Junyou Yang
author_sort	Xiran Zhou
title	Optimal scheduling of integrated energy system for low carbon considering combined weights
title_short	Optimal scheduling of integrated energy system for low carbon considering combined weights
title_full	Optimal scheduling of integrated energy system for low carbon considering combined weights
title_fullStr	Optimal scheduling of integrated energy system for low carbon considering combined weights
title_full_unstemmed	Optimal scheduling of integrated energy system for low carbon considering combined weights
title_sort	optimal scheduling of integrated energy system for low carbon considering combined weights
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/4b284eb9a1ac45b090f741eb072af38d
work_keys_str_mv	AT xiranzhou optimalschedulingofintegratedenergysystemforlowcarbonconsideringcombinedweights AT yimingma optimalschedulingofintegratedenergysystemforlowcarbonconsideringcombinedweights AT haixinwang optimalschedulingofintegratedenergysystemforlowcarbonconsideringcombinedweights AT yunluli optimalschedulingofintegratedenergysystemforlowcarbonconsideringcombinedweights AT jishuaiyu optimalschedulingofintegratedenergysystemforlowcarbonconsideringcombinedweights AT junyouyang optimalschedulingofintegratedenergysystemforlowcarbonconsideringcombinedweights
_version_	1718372964143988736

Optimal scheduling of integrated energy system for low carbon considering combined weights

Ejemplares similares