Optimal Household Appliances Scheduling Under Day-Ahead Pricing and Load-Shaping Demand Response Strategies

• Type: Article in International Scientific Journal
• Date: 2015

Authors

Paterakis, NG (Author) Other; Erdinc, O (Author) Other; Bakirtzis, AG (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: IEEE Transactions on Industrial Informatics

Vol. 11

Pages: 1509-1519

ISSN: 1551-3203

Publisher: IEEE

Indexing

ISI Web of Knowledge - 294 Citations

Scopus - 340 Citations

Other information

Authenticus ID: P-00J-Y57

DOI: 10.1109/tii.2015.2438534

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11