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

doi:10.1016/j.enconman.2019.02.044

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

Ingeniería en Energía y Sostenibilidad

Research output: Articles / Notes › Scientific Article › peer-review

57 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	241-257
Number of pages	17
Journal	Energy Conversion and Management
Volume	186
DOIs	https://doi.org/10.1016/j.enconman.2019.02.044
State	Published - 15 Apr 2019

Keywords

Genetic algorithm
Hybrid energy systems
Micro-grids
Model predictive control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.enconman.2019.02.044

Cite this

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

abstract = "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.",

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AU - Acevedo-Arenas, César Y.

AU - Correcher, Antonio

AU - Sánchez-Díaz, Carlos

AU - Ariza, Eduardo

AU - Alfonso-Solar, David

AU - Vargas-Salgado, Carlos

AU - Petit-Suárez, Johann F.

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AB - 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.

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