Hybrid electric power plant sizing strategy based on ab-initio fuel cell design for weight minimization

López-Pérez, M.; Claudio-Sánchez, Abraham; Cano-Castillo, Ulises; Loyola-Morales, Félix

doi:10.1016/j.ijhydene.2020.05.157

Cited by 6 publications

(3 citation statements)

References 24 publications

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“…Here, the fuzzy controller was based on IF-THEN rules that mainly required experience and knowledge. This strategy could be tuned easily for optimal operation of the system (Yue et al, 2019;Imran et al, 2020;López-Pérez et al, 2020;Chen et al, 2019;Ouddah et al, 2019;Alam et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

An energy management scheme for improving the fuel economy of a fuel cell/battery/supercapacitor-based hybrid electric vehicle using the coyote optimization algorithm (COA)

Mounica,

Obulesu

2023

Front. Energy Res.

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This study describes a multi-input power system that is suited for fueling electric automobiles, InterCitys, and airplanes, particularly in situations with significant fluctuating load demand. The dual framework utilizes fuel cells (FC), batteries, and super capacitors (SCs). An energy management system (EMS) remains a critical aspect of lowering overall hydrogen consumption and minimizing the degradation of FC functionality. A novel EMS that has been suggested focused on a novel optimization method known as the Coyote optimization algorithm (COA), and it considers the fact that the total load is adequately supplied within the limitations of each power source. To minimize the hydrogen consumption. By maximizing the power generated by the energy storage devices, the energy acquired from the FC is reduced. In comparison to other optimization methods, the COA would be a practical, effective, and relatively straightforward optimizer that only involves a limited number of controlling factors to be set. The framework application MATLAB/Simulink is used to create the proposed method. In order to show the effectiveness of the proposed methodology, a study with several different conventional techniques is performed, which includes the classic proportional-integral control mechanism, the frequency decoupling with state machine (FDSM) controlling technique, the equivalent consumption minimization scheme (ECMS), and the external energy minimization scheme (EEMS). The efficacy of the algorithm and the FC’s aggregate H2 usage serve as the focal points for comparison in this work. The outcomes demonstrate that the recommended COA strategy is superior and more effective than the alternative approaches.

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Section: Introductionmentioning

confidence: 99%

An energy management scheme for improving the fuel economy of a fuel cell/battery/supercapacitor-based hybrid electric vehicle using the coyote optimization algorithm (COA)

Mounica,

Obulesu

2023

Front. Energy Res.

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“…A sizing strategy was proposed for a hybrid power plant that was based on the FC design for weight minimization [47]. The idea put forward by the authors was that the reduction in the size of the power plant could also lead to a minimization of the power and energy requirements, and the enhancement of system's techno-economic performance.…”

Section: Introductionmentioning

confidence: 99%

Review of Fuel Cell Technologies and Applications for Sustainable Microgrid Systems

2020

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The shift from centralized to distributed generation and the need to address energy shortage and achieve the sustainability goals are among the important factors that drive increasing interests of governments, planners, and other relevant stakeholders in microgrid systems. Apart from the distributed renewable energy resources, fuel cells (FCs) are a clean, pollution-free, highly efficient, flexible, and promising energy resource for microgrid applications that need more attention in research and development terms. Furthermore, they can offer continuous operation and do not require recharging. This paper examines the exciting potential of FCs and their utilization in microgrid systems. It presents a comprehensive review of FCs, with emphasis on the developmental status of the different technologies, comparison of operational characteristics, and the prevailing techno-economic barriers to their progress and the future outlook. Furthermore, particular attention is paid to the applications of the FC technologies in microgrid systems such as grid-integrated, grid-parallel, stand-alone, backup or emergency power, and direct current systems, including the FC control mechanisms and hybrid designs, and the technical challenges faced when employing FCs in microgrids based on recent developments. Microgrids can help to strengthen the existing power grid and are also suitable for mitigating the problem of energy poverty in remote locations. The paper is expected to provide useful insights into advancing research and developments in clean energy generation through microgrid systems based on FCs.

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“…On the other hand, a fuel cell depends on the hydrogen stored in the hydrogen tank that enables separation of power from stored energy. This allows us to use a fuel cell of comparatively smaller weight for achieving the desired energy and power requirements [18]. Supercapacitors are energy storage systems that, unlike electrochemical batteries, can be instantly charged and give off electricity, compensating in the short-term for tens of megawatts of power, and they also operate in a wider temperature range without maintenance and replacement during the entire service life-at least 15 years.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control of Fuel Cell and Supercapacitor Based Hybrid Electric Vehicles

et al. 2020

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In this paper, an adaptive nonlinear control strategy for the energy management of a polymer electrolyte membrane fuel cell and supercapacitor-based hybrid electric vehicle is proposed. The purpose of this work was to satisfy: (i) tight DC bus voltage regulation, (ii) good fuel cell reference current tracking, (iii) better supercapacitor reference current tracking (iv) global asymptotic stability of the closed-loop control system, and (v) better vehicle performance by catering to slowly-varying parameters. We have selected the power stage schematic of a hybrid electric vehicle and utilized adaptive backstepping and adaptive Lyapunov redesign-based nonlinear control methods to formally derive adaptive parametric update laws for all slowly-varying parameters. The performance of the proposed system has been tested under varying load conditions using experimental data from the “Extra Urban Driving Cycle.” Mathematical analysis and Matlab/Simulink results show that proposed controllers are globally asymptotically stable and satisfy all the design requirements. The physical effectiveness of proposed system has been verified by comparing simulation results with the real-time controller hardware in the loop experimental results. Results show that proposed system shows satisfactory performance and caters for the time-varying parametric variations and the load requirements.

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Hybrid electric power plant sizing strategy based on ab-initio fuel cell design for weight minimization

Cited by 6 publications

References 24 publications

An energy management scheme for improving the fuel economy of a fuel cell/battery/supercapacitor-based hybrid electric vehicle using the coyote optimization algorithm (COA)

An energy management scheme for improving the fuel economy of a fuel cell/battery/supercapacitor-based hybrid electric vehicle using the coyote optimization algorithm (COA)

Review of Fuel Cell Technologies and Applications for Sustainable Microgrid Systems

Adaptive Control of Fuel Cell and Supercapacitor Based Hybrid Electric Vehicles

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