Coordinated Scheduling of Demand Response Aggregators and Customers in an Uncertain Environment

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Saber Talari (Autor) Outra; Miadreza Shafie-khah (Autor) Outra; Fei Wang (Autor) Outra; João P. S. Catalão (Autor) FEUP

Ata de Conferência Internacional

Título: 2018 Power Systems Computation Conference (PSCC)

Páginas: 1-7

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

INSPEC

Outras Informações

ID Authenticus: P-00P-NXF

DOI: 10.23919/pscc.2018.8442721

Abstract (EN): In this paper, a methodology to offer new potential of DR in real-time is presented. Since customers likely have extra possibilities for demand response (DR) participation in real-time, in addition to their scheduled potential in day-ahead, this method helps to provide balance in real-time market via DR aggregators. It can be vital once the stochastic variables of the network such as wind power generators (WPG) do not follow the forecasted production in real-time and have some distortions. Stochastic two-stage programming is applied to manage DR options, including load curtailment (LC), load shifting (LS), and load recovery (LR) in both day-ahead and real-time market. DR options in real-time are scheduled based on possible scenarios that reflect the behavior of wind power generation and are generated through Monte-Carlo simulation method. The merits of the method are demonstrated in a 6-bus case study, which shows a reduction in total operation cost.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7