期刊
JOURNAL OF POWER SOURCES
卷 343, 期 -, 页码 161-173出版社
ELSEVIER
DOI: 10.1016/j.jpowsour.2017.01.015
关键词
Hydrogen storage; Microgrid; Model predictive control; Stochastic processes; Supply; Demand
资金
- Spanish Ministry of Economy and Competitiveness (COOPERA project) [DPI2013-46912-C2-1-R]
- project ECOCIS [DPI2013-482443-C2-1-R]
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. (C) 2017 Elsevier B.V. All rights reserved.
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