Economic-based residential flexible resource allocation in microgrid

As the penetration of distributed renewable generation increases, their intrinsic uncertainty and random raise neutral concerns on the reliability of microgrid. Demand side resources are considered helpful in facilitating the operation of microgrid. In recent years, the development of Internet of Th...

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Autores principales:	Zishan Guo, Hanhui Guo, Qinran Hu, Xiangjun Quan, Qi Wang, Zaijun Wu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Resource allocation Residential flexible resource Demand response Ancillary service Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/3b8c8426b65d4770949c0a4d244b7587
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id	oai:doaj.org-article:3b8c8426b65d4770949c0a4d244b7587
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spelling	oai:doaj.org-article:3b8c8426b65d4770949c0a4d244b75872021-11-26T04:34:03ZEconomic-based residential flexible resource allocation in microgrid2352-484710.1016/j.egyr.2021.08.067https://doaj.org/article/3b8c8426b65d4770949c0a4d244b75872021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721006703https://doaj.org/toc/2352-4847As the penetration of distributed renewable generation increases, their intrinsic uncertainty and random raise neutral concerns on the reliability of microgrid. Demand side resources are considered helpful in facilitating the operation of microgrid. In recent years, the development of Internet of Things and electric vehicle enables the capability of residential demands serving as flexible grid assets to provide various ancillary services and enhance operation reliability. For the residential flexible resource, their control modes and subsidy prices greatly affect the performance and operation cost, and different resources, such as air conditioner and electric vehicle (distributed energy storage), have considerably different flexible capability, capacity and quantity. Thus, this paper provides an economic-based resource allocation model for residential flexible resources. The proposed model finds the cost-effective plan about how to allocate residential flexible resources to enhance reliability of microgrid. Case studies are conducted on a modified IEEE 9-node network to illustrate the effectiveness of the proposed model.Zishan GuoHanhui GuoQinran HuXiangjun QuanQi WangZaijun WuElsevierarticleResource allocationResidential flexible resourceDemand responseAncillary serviceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 99-109 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Resource allocation Residential flexible resource Demand response Ancillary service Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Resource allocation Residential flexible resource Demand response Ancillary service Electrical engineering. Electronics. Nuclear engineering TK1-9971 Zishan Guo Hanhui Guo Qinran Hu Xiangjun Quan Qi Wang Zaijun Wu Economic-based residential flexible resource allocation in microgrid
description	As the penetration of distributed renewable generation increases, their intrinsic uncertainty and random raise neutral concerns on the reliability of microgrid. Demand side resources are considered helpful in facilitating the operation of microgrid. In recent years, the development of Internet of Things and electric vehicle enables the capability of residential demands serving as flexible grid assets to provide various ancillary services and enhance operation reliability. For the residential flexible resource, their control modes and subsidy prices greatly affect the performance and operation cost, and different resources, such as air conditioner and electric vehicle (distributed energy storage), have considerably different flexible capability, capacity and quantity. Thus, this paper provides an economic-based resource allocation model for residential flexible resources. The proposed model finds the cost-effective plan about how to allocate residential flexible resources to enhance reliability of microgrid. Case studies are conducted on a modified IEEE 9-node network to illustrate the effectiveness of the proposed model.
format	article
author	Zishan Guo Hanhui Guo Qinran Hu Xiangjun Quan Qi Wang Zaijun Wu
author_facet	Zishan Guo Hanhui Guo Qinran Hu Xiangjun Quan Qi Wang Zaijun Wu
author_sort	Zishan Guo
title	Economic-based residential flexible resource allocation in microgrid
title_short	Economic-based residential flexible resource allocation in microgrid
title_full	Economic-based residential flexible resource allocation in microgrid
title_fullStr	Economic-based residential flexible resource allocation in microgrid
title_full_unstemmed	Economic-based residential flexible resource allocation in microgrid
title_sort	economic-based residential flexible resource allocation in microgrid
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3b8c8426b65d4770949c0a4d244b7587
work_keys_str_mv	AT zishanguo economicbasedresidentialflexibleresourceallocationinmicrogrid AT hanhuiguo economicbasedresidentialflexibleresourceallocationinmicrogrid AT qinranhu economicbasedresidentialflexibleresourceallocationinmicrogrid AT xiangjunquan economicbasedresidentialflexibleresourceallocationinmicrogrid AT qiwang economicbasedresidentialflexibleresourceallocationinmicrogrid AT zaijunwu economicbasedresidentialflexibleresourceallocationinmicrogrid
_version_	1718409836409913344

Economic-based residential flexible resource allocation in microgrid

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