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Artículo
On the Comparison of Stochastic Model Predictive Control Strategies Applied to a Hydrogen-based Microgrid
(Elsevier, 2017-03)
In this paper, a performance comparison among three well-known stochastic model predictive control approaches, namely, multi-scenario, tree-based, and chance-constrained model predictive control is presented. To this ...
Artículo
Optimal demand response management of a residential microgrid using model predictive control
(IEEE, 2020)
Demand response (DR) is an important factor contributing to achieve a balance between energy production and demand in Smart Grids. DR plays a key role in the use of residential energy allowing to improve the load management, ...
Artículo
Scenario-based model predictive control for energy scheduling in a parabolic trough concentrating solar plant with thermal storage
(Elsevier, 2023-04)
Optimal energy planning is a key topic in thermal solar trough plants. Obtaining a profitable energy schedule is difficult due to the stochastic nature of solar irradiance and electricity prices. This article focuses on ...
Artículo
Event-based state-space model predictive control of a renewable hydrogen-based microgrid for office power demand profiles
(Elsevier, 2020-02)
This paper focuses on the design and implementation of an event-based control architecture to manage a renewable-based microgrid. This microgrid has renewable-energy generation and a hybrid energy storage system that uses ...
Artículo
A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets
(MDPI, 2020-07)
This article studies the exchange of self-produced renewable energy between prosumers (and with pure end consumers), through the discrete trading of energy packages and proposes a framework for optimizing this exchange. ...
Artículo
On the Comparison of Stochastic Model Predictive Control Strategies Applied to a Hydrogen-based Microgrid
(Elsevier, 2017)
In this paper, a performance comparison among three well-known stochastic model predictive control approaches, namely, multi-scenario, tree-based, and chance-constrained model predictive control is presented. To this ...