Optimizing Nodal Demand Response in the Day-Ahead Electricity Market within a Smart Grid Infrastructure

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

Autores

Neda Hajibandeh (Autor) Outra; Miadreza Shafie khah (Autor) Outra; Mehdi Ehsan (Autor) Outra; João P. S. Catalão (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018

Páginas: 972-977

16th IEEE International Conference on Industrial Informatics, INDIN 2018

18 July 2018 through 20 July 2018

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

INSPEC

Outras Informações

ID Authenticus: P-00P-TE7

DOI: 10.1109/indin.2018.8472049

Abstract (EN): Developments of the smart grid infrastructure can facilitate the upsurge of Demand Response (DR) share in power system resources. This paper models the effects of Demand Response Programs (DRPs) on the behavior of the electricity market in the Day-Ahead (DA) session. Decision makers look for the best DR tariff to employ it as a tool to obtain a flexible and sustainable energy market. Employing the most effective DRP is of crucial importance. An optimized DR model and the optimum rates for each DRP are found to meet the decision makers' requirements. Optimizing the nodal tariff and incentive values of different DRPs are proposed in the electricity market. In such environment, market interactions are considered by means of a security constrained unit commitment problem. Both types of Price-Based Demand Response (PBDR) and Incentive-Based Demand Response (IBDR) are modeled. The numerical results presented indicate the effectiveness of the proposed model.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6