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Appl. Sci. 2018, 8(4), 575; https://doi.org/10.3390/app8040575

Robust Optimization for Household Load Scheduling with Uncertain Parameters

1
Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
2
State Grid Jiangsu Electric Power Company Research Institute, Nanjing 211103, China
3
School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
*
Author to whom correspondence should be addressed.
Received: 23 March 2018 / Revised: 31 March 2018 / Accepted: 2 April 2018 / Published: 7 April 2018
(This article belongs to the Special Issue Smart Home and Energy Management Systems)
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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. View Full-Text
Keywords: HEMS; household load scheduling; robust optimization; uncertain parameters HEMS; household load scheduling; robust optimization; uncertain parameters
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Wang, J.; Li, P.; Fang, K.; Zhou, Y. Robust Optimization for Household Load Scheduling with Uncertain Parameters. Appl. Sci. 2018, 8, 575.

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