MPC for optimal dispatch of an AC-linked hybrid PV/wind/biomass/H2 system incorporating demand response

César Y. Acevedo-Arenas, Antonio Correcher, Carlos Sánchez-Díaz, Eduardo Ariza, David Alfonso-Solar, Carlos Vargas-Salgado, Johann F. Petit-Suárez

Producción científica: Artículos / NotasArtículo Científicorevisión exhaustiva

59 Citas (Scopus)

Resumen

A Model Predictive Control (MPC) strategy based on the Evolutionary Algorithms (EA) is proposed for the optimal dispatch of renewable generation units and demand response in a grid-tied hybrid system. The generating system is based on the experimental setup installed in a Distributed Energy Resources Laboratory (LabDER), which includes an AC micro-grid with small scale PV/Wind/Biomass systems. Energy storage is by lead-acid batteries and an H2 system (electrolyzer, H2 cylinders and Fuel Cell). The energy demand is residential in nature, consisting of a base load plus others that can be disconnected or moved to other times of the day within a demand response program.

Idioma originalInglés
Páginas (desde-hasta)241-257
Número de páginas17
PublicaciónEnergy Conversion and Management
Volumen186
DOI
EstadoPublicada - 15 abr. 2019

Huella

Profundice en los temas de investigación de 'MPC for optimal dispatch of an AC-linked hybrid PV/wind/biomass/H2 system incorporating demand response'. En conjunto forman una huella única.

Citar esto