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On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid

Authors :
Ministerio de Economía y Competitividad (España)
Velarde, P.
Valverde, L.
Maestre, Jose Maria
Ocampo-Martínez, Carlos
Bordons, C.
Ministerio de Economía y Competitividad (España)
Velarde, P.
Valverde, L.
Maestre, Jose Maria
Ocampo-Martínez, Carlos
Bordons, C.
Publication Year :
2017

Abstract

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 end, three predictive controllers have been designed and implemented in a real renewable-hydrogen-based microgrid. The experimental set-up includes a PEM electrolyzer, lead-acid batteries, and a PEM fuel cell as main equipment. The real experimental results show significant differences from the plant components, mainly in terms of use of energy, for each implemented technique. Effectiveness, performance, advantages, and disadvantages of these techniques are extensively discussed and analyzed to give some valid criteria when selecting an appropriate stochastic predictive controller.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1104227348
Document Type :
Electronic Resource