Intelligent energy optimization in park-wide farming considering user’s preferences

Abstract With the development of park-level agricultural, agricultural production and household electricity fusion, it is of great significance to promote users to actively respond to power consumption plan based on their own habits. In this paper, a multi-objective household intelligent power consu...

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Autores principales:	Cheng Jiangzhou, Niu Zhiyou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2727e875ef524fde96a3f773e776d079
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spelling	oai:doaj.org-article:2727e875ef524fde96a3f773e776d0792021-11-08T10:46:22ZIntelligent energy optimization in park-wide farming considering user’s preferences10.1038/s41598-021-00732-62045-2322https://doaj.org/article/2727e875ef524fde96a3f773e776d0792021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00732-6https://doaj.org/toc/2045-2322Abstract With the development of park-level agricultural, agricultural production and household electricity fusion, it is of great significance to promote users to actively respond to power consumption plan based on their own habits. In this paper, a multi-objective household intelligent power consumption optimization model is proposed from two aspects of economy and comfort. Firstly, the operating constraints of interruptible loads and non-interruptible loads were established based on the working characteristics of various household appliances. Then, the expenditure model was constructed to take into account the electricity sales situation of surplus electricity generated by photovoltaic, and a three-layer index system quantifying the influence of user preference on comfort level was constructed. The preference coefficient was determined by analytic hierarchy process, which was used to construct the users’ comfort level model. Finally, the multi-objective particle swarm optimization algorithm was applied to obtain optimization results. Considering the seasonal difference, the simulation showed that this model minimized the expenditure and increased the comfort level during summer and winter by 26.0% and 27.5% respectively.Cheng JiangzhouNiu ZhiyouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Cheng Jiangzhou Niu Zhiyou Intelligent energy optimization in park-wide farming considering user’s preferences
description	Abstract With the development of park-level agricultural, agricultural production and household electricity fusion, it is of great significance to promote users to actively respond to power consumption plan based on their own habits. In this paper, a multi-objective household intelligent power consumption optimization model is proposed from two aspects of economy and comfort. Firstly, the operating constraints of interruptible loads and non-interruptible loads were established based on the working characteristics of various household appliances. Then, the expenditure model was constructed to take into account the electricity sales situation of surplus electricity generated by photovoltaic, and a three-layer index system quantifying the influence of user preference on comfort level was constructed. The preference coefficient was determined by analytic hierarchy process, which was used to construct the users’ comfort level model. Finally, the multi-objective particle swarm optimization algorithm was applied to obtain optimization results. Considering the seasonal difference, the simulation showed that this model minimized the expenditure and increased the comfort level during summer and winter by 26.0% and 27.5% respectively.
format	article
author	Cheng Jiangzhou Niu Zhiyou
author_facet	Cheng Jiangzhou Niu Zhiyou
author_sort	Cheng Jiangzhou
title	Intelligent energy optimization in park-wide farming considering user’s preferences
title_short	Intelligent energy optimization in park-wide farming considering user’s preferences
title_full	Intelligent energy optimization in park-wide farming considering user’s preferences
title_fullStr	Intelligent energy optimization in park-wide farming considering user’s preferences
title_full_unstemmed	Intelligent energy optimization in park-wide farming considering user’s preferences
title_sort	intelligent energy optimization in park-wide farming considering user’s preferences
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2727e875ef524fde96a3f773e776d079
work_keys_str_mv	AT chengjiangzhou intelligentenergyoptimizationinparkwidefarmingconsideringuserspreferences AT niuzhiyou intelligentenergyoptimizationinparkwidefarmingconsideringuserspreferences
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Intelligent energy optimization in park-wide farming considering user’s preferences

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