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Future of Information and Communication Conference

FICC 2019: Advances in Information and Communication pp 291–303Cite as

Coordinated Scheduling of Fuel Cell-Electric Vehicles and Solar Power Generation Considering Vehicle to Grid Bidirectional Energy Transfer Mode

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 69))

Abstract

Home-to-Vehicle (H2V) appears as an interesting research area due to its public services that incorporates new technologies and new devices for better life quality. The objective is to study and analyze house energy needs to optimize more efficiently the energy production for an optimal economy. In this context, hydrogen-based hybrid electric stand-alone systems are considered as a promising option to ensure efficient power generation without interruption and to meet fuel vehicles requirements. To perform this, a specific H2V simulation system is developed incorporating electrolyzer technology, solar energy and a Supercapacitor. Thus, to maintain the energy balance between demand and production, the excess electrical energy will be stored under different forms (electrical or chemical (H2 gas)) according to system constrains. Therefore, the produced hydrogen through the excess will fueled the vehicle after the analysis of its state need. In fact, the flows exchange will be performed between the home and the PEMFC hybrid electric vehicle while supplying the appropriate amount H2. Therefore, it is necessary to develop an intelligent energy management (IEM) for the H2V system. The proposed IEM processes user preferences and manages the energy production and storage. The results obtained are discussed and tested using MATLAB/Simulink software.

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Abbreviations

IGEN:

PV generated current (A)

IDEM:

Load consumption current (A)

IAP:

Appliance consumption current (A)

QP:

H2 produced amount (mol)

SOCSC:

Supercapacitor state of charge

ISC:

Supercapacitor current (A)

I maxSC :

Supercapacitor maximum current (A)

Pst:

Tank pressure (bar)

Tst:

Tank temperature (°C)

Vst:

Tank volume (l)

SOCH2:

H2 tank state of charge

QS:

H2 tank Stored amount (mol)

Q Smax :

H2 tank maximum stored amount (mol)

NEL:

Electrolyze cell numbers

SOCEST:

Estimated H2 tank state of charge

SOCCH:

Estimated Supercapacitor state of charge

IST:

Estimated excess generated current (A)

I CHSC :

Supercapacitor charging current (A)

QH2V:

Vehicle fuel delivery (mol)

Qn:

H2 needed amount (mol)

QVEH:

Vehicle fuel reserve (mol)

F:

Faraday constant

R:

Ideal gas constant

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Author information

Authors and Affiliations

  1. Information System Department, King Abdulaziz University, Jeddah, Saudi Arabia

    Benslama Sami & Zafar Bassam

  2. Analysis and Processing of Electric and Energetic Systems Unit, Faculty of Sciences, Tunis EL MANAR II, PB1060, Tunis, Tunisia

    Nasri Sihem & Cherif Adnen

Authors
  1. Benslama Sami
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  2. Nasri Sihem
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  3. Zafar Bassam
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  4. Cherif Adnen
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Corresponding author

Correspondence to Benslama Sami .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Sami, B., Sihem, N., Bassam, Z., Adnen, C. (2020). Coordinated Scheduling of Fuel Cell-Electric Vehicles and Solar Power Generation Considering Vehicle to Grid Bidirectional Energy Transfer Mode. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_21

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