Research on the influence of resilient grid learning ability on power system

In recent years, as the penetration rate of renewable energy has become higher and higher, the amount of power electronic equipment access has increased, and the power system has shown obvious “double high” characteristics, this puts forward higher requirements for the safe and stable operation of t...

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Autores principales:	Chenhong Huang, Zhen Zheng, Xiaoli Ma, Huamin Yan, Min Wang, Zongyin Fan
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Resilient grid Learning ability The restoration of network The electricity market Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/f119deae723540faa340136ef7f36767
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spelling	oai:doaj.org-article:f119deae723540faa340136ef7f367672021-12-04T04:34:47ZResearch on the influence of resilient grid learning ability on power system2352-484710.1016/j.egyr.2021.11.014https://doaj.org/article/f119deae723540faa340136ef7f367672022-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721011598https://doaj.org/toc/2352-4847In recent years, as the penetration rate of renewable energy has become higher and higher, the amount of power electronic equipment access has increased, and the power system has shown obvious “double high” characteristics, this puts forward higher requirements for the safe and stable operation of the power system. Based on the current background and research, this paper starts with the concept of resilient grid and studies the influence of the learning ability of resilient grid on the power system. First of all, this article analyzes the driving factors of learning ability from two perspectives of scientific and technological progress and policy orientation. Among them, scientific and technological progress includes internal driving and external driving, and policy orientation includes macro-level and micro-level; Secondly, this paper studies the influence of various factors on the restoration of the distribution network and the power market, and proves it through calculation examples; Finally, this paper summarizes and looks forward to the significance and role of learning driving factors in the construction of new power systems.Chenhong HuangZhen ZhengXiaoli MaHuamin YanMin WangZongyin FanElsevierarticleResilient gridLearning abilityThe restoration of networkThe electricity marketElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 8, Iss , Pp 43-50 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Resilient grid Learning ability The restoration of network The electricity market Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Resilient grid Learning ability The restoration of network The electricity market Electrical engineering. Electronics. Nuclear engineering TK1-9971 Chenhong Huang Zhen Zheng Xiaoli Ma Huamin Yan Min Wang Zongyin Fan Research on the influence of resilient grid learning ability on power system
description	In recent years, as the penetration rate of renewable energy has become higher and higher, the amount of power electronic equipment access has increased, and the power system has shown obvious “double high” characteristics, this puts forward higher requirements for the safe and stable operation of the power system. Based on the current background and research, this paper starts with the concept of resilient grid and studies the influence of the learning ability of resilient grid on the power system. First of all, this article analyzes the driving factors of learning ability from two perspectives of scientific and technological progress and policy orientation. Among them, scientific and technological progress includes internal driving and external driving, and policy orientation includes macro-level and micro-level; Secondly, this paper studies the influence of various factors on the restoration of the distribution network and the power market, and proves it through calculation examples; Finally, this paper summarizes and looks forward to the significance and role of learning driving factors in the construction of new power systems.
format	article
author	Chenhong Huang Zhen Zheng Xiaoli Ma Huamin Yan Min Wang Zongyin Fan
author_facet	Chenhong Huang Zhen Zheng Xiaoli Ma Huamin Yan Min Wang Zongyin Fan
author_sort	Chenhong Huang
title	Research on the influence of resilient grid learning ability on power system
title_short	Research on the influence of resilient grid learning ability on power system
title_full	Research on the influence of resilient grid learning ability on power system
title_fullStr	Research on the influence of resilient grid learning ability on power system
title_full_unstemmed	Research on the influence of resilient grid learning ability on power system
title_sort	research on the influence of resilient grid learning ability on power system
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/f119deae723540faa340136ef7f36767
work_keys_str_mv	AT chenhonghuang researchontheinfluenceofresilientgridlearningabilityonpowersystem AT zhenzheng researchontheinfluenceofresilientgridlearningabilityonpowersystem AT xiaolima researchontheinfluenceofresilientgridlearningabilityonpowersystem AT huaminyan researchontheinfluenceofresilientgridlearningabilityonpowersystem AT minwang researchontheinfluenceofresilientgridlearningabilityonpowersystem AT zongyinfan researchontheinfluenceofresilientgridlearningabilityonpowersystem
_version_	1718373006135263232

Research on the influence of resilient grid learning ability on power system

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