Optimal Economical Schedule of Hydrogen-Based Microgrids With Hybrid Storage Using Model Predictive Control

García-Torres, Félix; Bordons, Carlos

doi:10.1109/tie.2015.2412524

Cited by 275 publications

(180 citation statements)

References 44 publications

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“…For this reason, another popular approach is determining BP and UM reference power profiles by minimizing suitable cost functions over a given time horizon. Hence, different optimal solving techniques can be used, such as model predictive control, mixed-integer/linear programming, nonlinear programming, and dynamic programming [52][53][54][55]. However, such solving techniques are generally complex to implement and quite time-demanding.…”

Section: Hess Management and Controlmentioning

confidence: 99%

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Serpi¹,

Porru²,

Damiano³

2018

Advancements in Energy Storage Technologies

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This chapter addresses potentialities and advantages of a highly integrated hybrid energy storage system (HESS) for electric propulsion and smart grids. This configuration consists of a highly integrated battery-ultracapacitor system (HIBUC) and aims to benefit from the advantages of both passive and active HESS configurations. Particularly, the integration of the ultracapacitor module (UM) within the DC-link of the DC/AC multilevel converter enables the decoupling between DC-link voltage and energy content without the need for any additional DC/DC converter. As a result, HIBUC benefits from simplicity and energy flow management capabilities very similar to those achieved by passive and active HESS configurations, respectively. This is highlighted properly by a theoretical analysis, which also accounts for a comparison between HIBUC and both passive and active HESS configurations. Some HIBUC application examples are also reported, which highlight the flexibility and potentialities of HIBUC for both electric propulsion systems and smart grids.

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Section: Hess Management and Controlmentioning

confidence: 99%

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Serpi¹,

Porru²,

Damiano³

2018

Advancements in Energy Storage Technologies

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“…Modelling & System Diagnosis [1], [2], [3], [4] Management & Control [5], [6], [7], [8], [9], [10], [11], [12] Monitoring & Observation [13], [14], [15], [16], [17] PEMFC-based Setups [1], [2], [3], [4], [8], [10], [12], [13], [14], [15] Other Configuration Setups [7], [9], [11] recent and relevant advances in control-oriented modeling and validation, system diagnosis and advanced control design of complex energy conversion systems based on fuel cells. Moreover, the Special Section is also focused on providing the researchers and engineers with the state-of-art research and guidelines in these important fields for the next years.…”

Section: Research Field Manuscriptsmentioning

confidence: 99%

“…Innovative approaches in the field of control design based on sampled-data passivity [5], model predictive control (MPC) [6], interval-based sliding mode control (SMC) [7], ditterless extremum seeking [8], economic MPC [9] and high-order SMC [10] are reported and further discussed for different PEM fuel-cell-based systems as well as other configuration setups such as microgrids. Moreover, advanced topics on energy management also applied to hybrid systems are reported [11].…”

Section: Research Field Manuscriptsmentioning

confidence: 99%

Modeling, Diagnosis, and Control of Fuel-Cell-Based Technologies and Their Integration in Smart Grids and Automotive Systems

Kunusch

Ocampo‐Martínez

Valla

2015

IEEE Trans. Ind. Electron.

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“…In the research of the coordinated dispatch of the electrolysis cell with ADN, literatures [8][9][10][11] established an isolated micro-grid system consisting of DGs, batteries and the electrolysis cells. Above all, the research level mainly remains on the micro-grid level, basically single point optimization, and regardless of network operation constraints.…”

Section: Introductionmentioning

confidence: 99%

Optimization Control on 'Electricity-Hydrogen' Coordination in Active Distribution Network Part One System Modeling

Chen¹,

Shi²,

Hou³

et al. 2017

Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)

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Abstract. The integration of a large amount of renewable energy into the distribution network brings the severe consumptive problem. Compared to the traditional storage methods, in this paper, we propose a new solution which is to convert electricity into hydrogen by the electrolysis cell. What's more, by methanation we convert hydrogen into methane to provide fuel for the micro-turbine. Thus on the one hand the loss of on-grid renewable energy can be decreased, on the other hand the fuel cost required for the micro-turbine can be curtailed. The main contribution relies on the efficiency model of the electrolysis cell, and the research with the consideration of the network operation constraints in the distribution level is meaningful.

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Optimal Economical Schedule of Hydrogen-Based Microgrids With Hybrid Storage Using Model Predictive Control

Cited by 275 publications

References 44 publications

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Modeling, Diagnosis, and Control of Fuel-Cell-Based Technologies and Their Integration in Smart Grids and Automotive Systems

Optimization Control on 'Electricity-Hydrogen' Coordination in Active Distribution Network Part One System Modeling

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