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Planning of Distributed Renewable Energy Resources Using Genetic Algorithm

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Sustainable Electrical Power Resources through Energy Optimization and Future Engineering

Part of the book series: SpringerBriefs in Energy ((BRIEFSENERGY))

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Abstract

Due to the limitations of fossil fuel reserves and environmental issues, distributed renewable energy resources (DRER) have become a good alternative solution for producing electricity.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Bandar Seri lskandar, 32610, Seri lskandar, Perak, Malaysia

    Nursyarizal Mohd Nor, Abid Ali, Taib Ibrahim & Mohd Fakhizan Romlie

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  1. Nursyarizal Mohd Nor
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  2. Abid Ali
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  3. Taib Ibrahim
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  4. Mohd Fakhizan Romlie
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Correspondence to Nursyarizal Mohd Nor .

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Editors and Affiliations

  1. Department of Mechanical Engineering, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia

    Shaharin Anwar Sulaiman

  2. Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia

    Ramani Kannan

  3. Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia

    Samsul Ariffin Abdul Karim

  4. Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia

    Nursyarizal Mohd Nor

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Nor, N.M., Ali, A., Ibrahim, T., Romlie, M.F. (2018). Planning of Distributed Renewable Energy Resources Using Genetic Algorithm. In: Sulaiman, S., Kannan, R., Karim, S., Mohd Nor, N. (eds) Sustainable Electrical Power Resources through Energy Optimization and Future Engineering. SpringerBriefs in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-13-0435-4_4

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  • DOI: https://doi.org/10.1007/978-981-13-0435-4_4

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