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Appl. Sci. 2017, 7(11), 1136; https://doi.org/10.3390/app7111136

A Robust Optimization Strategy for Domestic Electric Water Heater Load Scheduling under Uncertainties

1
Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
2
State Grid Chengdu Power Supply Company, Chengdu 610041, China
*
Author to whom correspondence should be addressed.
Received: 3 October 2017 / Revised: 31 October 2017 / Accepted: 1 November 2017 / Published: 5 November 2017
(This article belongs to the Special Issue Smart Home and Energy Management Systems)
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Abstract

In this paper, a robust optimization strategy is developed to handle the uncertainties for domestic electric water heater load scheduling. At first, the uncertain parameters, including hot water demand and ambient temperature, are described as the intervals, and are further divided into different robust levels in order to control the degree of the conservatism. Based on this, traditional load scheduling problem is rebuilt by bringing the intervals and robust levels into the constraints, and are thus transformed into the equivalent deterministic optimization problem, which can be solved by existing tools. Simulation results demonstrate that the schedules obtained under different robust levels are of complete robustness. Furthermore, in order to offer users the most optimal robust level, the trade-off between the electricity bill and conservatism degree are also discussed. View Full-Text
Keywords: domestic electric heater; load scheduling; uncertainties; interval numbers; robust levels domestic electric heater; load scheduling; uncertainties; interval numbers; robust levels
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Wang, J.; Shi, Y.; Fang, K.; Zhou, Y.; Li, Y. A Robust Optimization Strategy for Domestic Electric Water Heater Load Scheduling under Uncertainties. Appl. Sci. 2017, 7, 1136.

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