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Energy Management System for Hybrid Energy System: Renewable Integration, Modeling and Optimization, Control Aspects and Conceptual Framework

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Metaheuristic and Evolutionary Computation: Algorithms and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 916))

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Abstract

In develo** Countries like India, the interest of energy has been expanding surprisingly because of the speculation of the agricultural, modern just as residence exercises. The rising an Earth-wide temperature boost marvels and an expansion in the consumption of petroleum derivatives has been the most crucial main thrust towards the thoughtfulness regarding misuse of Renewable Energy Sources. Alongside different favorable circumstances of these sources, there comes a heap of complexities connected to them because of their irregular and variable nature. Consequently, to maintain a strategic distance from these vulnerabilities it is important to give these assets appropriate planning and proper energy management. This work here a detailed study of different optimization techniques which can be applied to the renewable energy resources including the multi-agent solution as well as the Artificial Intelligence and Micro-grid controller which can offer a clear vision for the researchers in this field. Certain recommendations considering the challenges in renewable energy (RE) development are also been provided. In the proposed framework, the smart grid is optimized by the use of different optimization methods.

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Authors and Affiliations

  1. Department of Electrical & Electronics Engineering, Amity School of Engineering and Technology, Amity University, Noida, Uttar Pradesh, India

    Geeta Kumari, Akanksha Sharma, H. P. Singh, R. K. Viral & S. K. Sinha

  2. Teri School of Advanced Studies, New Delhi, India

    Naqui Anwer

Authors
  1. Geeta Kumari
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  2. Akanksha Sharma
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  3. H. P. Singh
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  4. R. K. Viral
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  5. S. K. Sinha
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  6. Naqui Anwer
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Corresponding author

Correspondence to Akanksha Sharma .

Editor information

Editors and Affiliations

  1. ICE Division, NSUT, Delhi, India

    Hasmat Malik

  2. Dept. of Electrical Engineering, Qatar University, Qatar, Qatar

    Atif Iqbal

  3. Electrical Engineering Department, Rajkiya Engineering College, Uttar Pradesh, India

    Puneet Joshi

  4. Electrical Engineering Department, Rajkiya Engineering College, Uttar Pradesh, India

    Sanjay Agrawal

  5. Electrical Engineering Department, National Institute of Technology, Srinagar, India

    Farhad Ilahi Bakhsh

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Kumari, G., Sharma, A., Singh, H.P., Viral, R.K., Sinha, S.K., Anwer, N. (2021). Energy Management System for Hybrid Energy System: Renewable Integration, Modeling and Optimization, Control Aspects and Conceptual Framework. In: Malik, H., Iqbal, A., Joshi, P., Agrawal, S., Bakhsh, F.I. (eds) Metaheuristic and Evolutionary Computation: Algorithms and Applications. Studies in Computational Intelligence, vol 916. Springer, Singapore. https://doi.org/10.1007/978-981-15-7571-6_9

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