Robust Scenario-Based Approach for the Optimal Scheduling of Energy Hubs

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2021

Autores

Mohammad H. Shams (Autor) Outra; Mohammad MansourLakouraj (Autor) Outra; Majid Shahabi (Autor) Outra; Mohammad Sadegh Javadi (Autor) Outra; João P. S. Catalão (Autor) FEUP

Ata de Conferência Internacional

Título: 2021 IEEE MADRID POWERTECH

Páginas: 1-6

14th IEEE Madrid PowerTech Conference (IEEE POWERTECH)

ELECTR NETWORK, JUN 28-JUL 02, 2021

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00V-JF3

DOI: 10.1109/powertech46648.2021.9494837

Abstract (EN): Energy hubs are defined as energy systems that receive various energy carriers and convert or store them to serve different types of load demands. Stochastic scheduling methods can be used to optimally manage the energy hubs. However, in the stochastic approach, the main deficiency is that there exists the risk of experiencing the worst scenario, so a viable solution is needed to address this possibility. This paper addresses the two-stage operation scheduling of energy hubs based on the worst scenarios. A novel robust scenario-based approach is proposed and compared to the stochastic approach. A robustness parameter is defined to control the compromise between the expected operating costs and the model robustness. It can be seen that the model is robust against all the realization of worst scenarios.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6