期刊
ENERGY CONVERSION AND MANAGEMENT
卷 102, 期 -, 页码 247-257出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2015.01.053
关键词
Robust optimization; Smart home; Load scheduling; Photovoltaic system; Uncertainty; Energy management; Demand response
资金
- NFSC (National Natural Science Foundation of China)/EPSRC project OPEN [51261130473, EP/K006274/1]
- Engineering and Physical Sciences Research Council [EP/K006274/1] Funding Source: researchfish
- EPSRC [EP/K006274/1] Funding Source: UKRI
In this paper, a robust approach is developed to tackle the uncertainty of PV power output for load scheduling of smart homes integrated with household PV system. Specifically, a robust formulation is proposed and further transformed to an equivalent quadratic programming problem. Day-ahead load schedules with different robustness can be generated by solving the proposed robust formulation with different predefined parameters. The validity and advantage of the proposed approach has been verified by simulation results. Also, the effects of feed-in tariff and PV output have been evaluated. (c) 2015 Elsevier Ltd. All rights reserved.
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