Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 11, Issue 6, Pages 1509-1519Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2015.2438534
Keywords
Demand response (DR); distributed generation (DG); electric vehicles (EVs); energy storage system (ESS); home energy management; smart household
Categories
Funding
- FEDER funds (EU) through COMPETE
- Portuguese funds through FCT [FCOMP-01-0124-FEDER-020282, PTDC/EEA-EEL/118519/2010, UID/CEC/50021/2013]
- EU Seventh Framework Programme FP7 [309048]
Ask authors/readers for more resources
In this paper, a detailed home energy management system structure is developed to determine the optimal day-ahead appliance scheduling of a smart household under hourly pricing and peak power-limiting (hard and soft power limitation)based demand response strategies. All types of controllable assets have been explicitly modeled, including thermostatically controllable (air conditioners and water heaters) and nonthermostatically controllable (washing machines and dishwashers) appliances, together with electric vehicles (EVs). Furthermore, an energy storage system (ESS) and distributed generation at the end-user premises are taken into account. Bidirectional energy flow is also considered through advanced options for EV and ESS operation. Finally, a realistic test-case is presented with a sufficiently reduced time granularity being thoroughly discussed to investigate the effectiveness of the model. Stringent simulation results are provided using data gathered from real appliances and real measurements.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available