Probabilistic Model for Microgrids Optimal Energy Management Considering AC Network Constraints

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Javidsharifi, M (Autor) Outra; Niknam, T (Autor) Outra; Aghaei, J (Autor) Outra; Shafie khah, M (Autor) Outra; Catalao, JPS (Autor) FEUP

Revista

Título: IEEE Systems Journal

Vol. 14

Páginas: 2703-2712

ISSN: 1932-8184

Editora: IEEE

Indexação

ISI Web of Knowledge - 15 Citações

Scopus - 13 Citações

Outras Informações

ID Authenticus: P-00S-7XE

DOI: 10.1109/jsyst.2019.2927437

Abstract (EN): A new probabilistic approach for microgrids (MGs) optimal energy management considering ac network constraints is proposed in this paper. The economic model of an energy storage system (ESS) is considered in the problem. The reduced unscented transformation (RUT) is applied in order to deal with the uncertainties related to the forecasted values of load demand, market price, and available outputs of renewable energy sources (RESs). Moreover, the correlation between market price and load demand is taken into account. Besides, the impact of the correlated wind turbines (WT) on MGs' energy management is studied. An enhanced JAYA (EJAYA) algorithm is suggested to achieve the best solution of the considered problem. The effective performance of the presented approach is verified by applying the suggested strategy on a modified IEEE 33-bus system. It can be observed that for dealing with probabilistic problems, the suggested RUT-EJAYA shows accurate results such as those of Monte Carlo (MC) while the computational burden (time and complexity) is lower.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10