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Robust optimization for household load scheduling with uncertain parameters

Wang, Jidong, Li, Peng, Fang, Kaijie and Zhou, Yue 2018. Robust optimization for household load scheduling with uncertain parameters. Applied Sciences 8 (4) , p. 575. 10.3390/app8040575

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Abstract

Home energy management systems (HEMS) face many challenges of uncertainty, which have a great impact on the scheduling of home appliances. To handle the uncertain parameters in the household load scheduling problem, this paper uses a robust optimization method to rebuild the household load scheduling model for home energy management. The model proposed in this paper can provide the complete robust schedules for customers while considering the disturbance of uncertain parameters. The complete robust schedules can not only guarantee the customers’ comfort constraints but also cooperatively schedule the electric devices for cost minimization and load shifting. Moreover, it is available for customers to obtain multiple schedules through setting different robust levels while considering the trade-off between the comfort and economy.

Item Type: Article
Date Type: Publication
Status: Published
Schools: English, Communication and Philosophy
Engineering
Publisher: MDPI
ISSN: 2076-3417
Date of Acceptance: 2 April 2018
Last Modified: 19 Mar 2019 14:01
URI: http://orca.cf.ac.uk/id/eprint/120455

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