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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

Paterakis, NG (Autor) Outra; Erdinc, O (Autor) Outra; Bakirtzis, AG (Autor) Outra; Catalao, JPS (Autor) FEUP

Revista

Título: IEEE Transactions on Industrial Informatics

Vol. 11

Páginas: 1509-1519

ISSN: 1551-3203

Editora: IEEE

Indexação

ISI Web of Knowledge - 294 Citações

Scopus - 340 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11