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Predictive Control of Energy Management System for Fuel Cell Assisted Photo Voltaic Hybrid Power System

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Applications of Artificial Intelligence Techniques in Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 698))

Abstract

Distributed generation systems also known as hybrid power systems which involve renewable energy sources are extensively used due to their efficiency and green interface. Considering the varying environmental conditions, these systems are prone to many disadvantages and limitations. In order to overcome these constraints, intelligent techniques which can achieve steady process and power balance are to be implemented. This paper provides an intelligent control using fuzzy inference system and energy management algorithm for Fuel cell assisted PV Battery system. The supervisory control was implemented to achieve utmost feasible efficiency despite varying conditions such as irradiance and Hydrogen levels. With Levelized cost being adapted, an efficient energy management system attributes for even power distribution throughout the day can be implemented. Our thought process was demonstrated, and final software interface was simulated using MATLAB/Simulink to obtain results which confirm the effectiveness of the developed system.

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Technology, Department of Electrical & Electronics Engineering, Jamia Millia Islamia, New Delhi, 110025, India

    Kurukuru Varaha Satya Bharath & Mohammed Ali Khan

Authors
  1. Kurukuru Varaha Satya Bharath
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  2. Mohammed Ali Khan
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Corresponding author

Correspondence to Kurukuru Varaha Satya Bharath .

Editor information

Editors and Affiliations

  1. Department of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, New Delhi, Delhi, India

    Hasmat Malik

  2. Department of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, New Delhi, Delhi, India

    Smriti Srivastava

  3. National Institute of Technology, Puducherry, India

    Yog Raj Sood

  4. Perceiving Systems Department, Max Planck Institute for Intelligent Systems, Tübingen, Germany

    Aamir Ahmad

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© 2019 Springer Nature Singapore Pte Ltd.

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Bharath, K.V.S., Khan, M.A. (2019). Predictive Control of Energy Management System for Fuel Cell Assisted Photo Voltaic Hybrid Power System. In: Malik, H., Srivastava, S., Sood, Y., Ahmad, A. (eds) Applications of Artificial Intelligence Techniques in Engineering. Advances in Intelligent Systems and Computing, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-13-1819-1_24

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