Optimal Load Sharing of Hydrogen-Based Microgrids With Hybrid Storage Using Model-Predictive Control

García-Torres, Félix; Valverde, Luís; Bordons, Carlos

doi:10.1109/tie.2016.2547870

Cited by 125 publications

(76 citation statements)

References 35 publications

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“…The shorter the discharge (low depth of discharge DoD), the longer the battery will last. Since these processes are diffusion controlled and slow, it is necessary that a low charging rate is used [3]. The rate capability loss is proportional to the value of the average current used [20].…”

Section: B Batteries and Ultracapacitormentioning

confidence: 99%

“…Hydrogen-based microgrids can be a useful alternative for isolated locations as they provide energy without the need of fuel fuels and electricity grid [2]. High energy density of hydrogen as an energy carrier will play an important role in this new energetic paradigm [3], especially because fuel cells can operate in houses as generators with the advantage of the lack of CO 2 emissions. Obtaining energy from renewable sources such as photovoltaic [4], wind [5] or waves [6] has been studied in several papers.…”

Section: Introductionmentioning

confidence: 99%

“…In comparison with previous work [3], in this paper energy sources chosen are wind and waves, so the profile is more stable because wave energy is more continuous. Therefore, microgrids similar to the one proposed here can be installed in isolated coastal locations.…”

Section: Introductionmentioning

confidence: 99%

“…Different electrolyzers are defined in the case study proposed here, so the algorithm tries to choose the best performance of the microgrid. Another difference with [3] is that the high level control is based on the production and consumption of the electrolyzers and not with an economical dispatch. Electrolyzers depend on only certain constant parameters, so the case study can be modified by only adjusting these parameters.…”

Section: Introductionmentioning

confidence: 99%

“…The start-up sequences of the electrolyzers are also considered and controlled with the use of logical variables. Combination of the high-level control and the low-level control published in [3] and [15] respectively is the main contribution of the article. The paper is organized as follows: Section II describes the microgrid with an explanation of the components, models and variables.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Evaluation of a Long Term System coupled with a Short Term System of a hydrogen-based microgrid

Serna

Tadeo

Yahyaoui

et al. 2017

2017 8th International Renewable Energy Congress (IREC)

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Section: B Batteries and Ultracapacitormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluation of a Long Term System coupled with a Short Term System of a hydrogen-based microgrid

Serna

Tadeo

Yahyaoui

et al. 2017

2017 8th International Renewable Energy Congress (IREC)

Self Cite

View full text Add to dashboard Cite

show abstract

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

et al. 2020

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The current era in sustainable development is focused on the rapid integration of renewable energy sources driven by a wide range of socioeconomic objectives. Due to the inherent property of time-varying weather conditions, the intermittent sources, that is, Solar PV and Wind Energy, are considered as variable energy resources. The uncertainty and variability problem of these sources has brought many complications to distributed network operators to operate and control the complex or multi-microgrids with limited fast-ramping resources in order to maintain the power system flexibility. It led many researchers to find an alternative strategy since the conventional approaches are no longer adequate to handle the economic implications of operational decision making. At first, the brief review of various deterministic and probabilistic approaches, stochastic programming and robust optimisation strategies to address the uncertainty of variable energy resources are discussed. Furthermore, in the energy management point of view, the optimal scheduling problem of distributed sources of the microgrid is considered, and a brief review of optimisation models, advanced control strategies and demand response strategies to maximise economic benefits of microgrids are also elaborately presented. Finally, the multiagent-based distributed and decentralised control strategies for seamless integration of distributed generator units are reviewed under various configurations of the power grid along with communication network topologies.

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Novel control approach for integrating water electrolyzers to renewable energy sources

Al‐Sagheer

Steinberger‐Wilckens

2022

Fuel Cells

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Green hydrogen can be produced by integrating water electrolyzers to renewable energy sources. The integration confronts the problem of renewable power volatility that requires advanced control strategies. There are three main electrolyzer control approaches, which are: battery hysteresis cycle, model‐based scheduling, and frequency response. These approaches do not fully solve the problem of electrolyzer operation under power fluctuating conditions. This study introduces a novel integration and control approach for water electrolyzers based on model predictive control algorithm. The algorithm controls electrolyzer load so that steering the system into a breakeven energy balance across the main DC busbar that links generation and demand sides. However, the energy balance is subject to power conditioning losses and capacity constraints of electrolyzer. The novel approach uses simplified prediction models for the generation and demand and introduces a compensator for model uncertainty based on a novel role to the battery as a sensor of energy imbalance. The approach is tested on a 5 kW polymer electrolyte membrane electrolyzer and showed that fully automated energy balancing is achievable for grid connected and stand‐alone systems. Also, the electrolyzer can operate at partial capacity with improved efficiency and hydrogen yield, and it is applicable to any mix of renewables.

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Optimal Load Sharing of Hydrogen-Based Microgrids With Hybrid Storage Using Model-Predictive Control

Cited by 125 publications

References 35 publications

Evaluation of a Long Term System coupled with a Short Term System of a hydrogen-based microgrid

Evaluation of a Long Term System coupled with a Short Term System of a hydrogen-based microgrid

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

Novel control approach for integrating water electrolyzers to renewable energy sources

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