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Energy Grid Management, Optimization and Economic Analysis of Microgrid

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Smart Energy Grid Design for Island Countries

Part of the book series: Green Energy and Technology ((GREEN))

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Abstract

This chapter proposes a non-dominated sorting genetic algorithm (NSGAII) for the multi-objective optimal operation management (MOOM) for distributed microgrid. The main objective of the MOOM is to maximize the safe instantaneous system load, and minimizing the pollutant emission produced by the generating sources. Particle swarm optimization (PSO), genetic algorithm (GA) and NSGAII artificial intelligence techniques are studied and optimized for microgrid. The NSGAII control algorithm projected to maintain the grid voltage and angle stability within the IEEE standards while increased penetration. To construct the microgrid structure, the renewable energy sources such as wind energy, solid oxide fuel cells (SOFC) and solar photo-voltaic (SPV) are considered. The robust NSGAII based optimization algorithm continuously monitors the grid conditions and regulates grid parameters for maximizing the instantaneous safe bus loading. Power system stability indices such as fast voltage stability indices (FVSI), line stability indices (LSI) and line stability factor (LQP).

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Authors and Affiliations

  1. M.N. National Institute of Technology, Allahabad, Uttar Pradesh, 211004, India

    Vipin Das, P. Karuppanan, V. Karthikeyan & Asheesh Kumar Singh

  2. Researcher of NEC Laboratories Singapore, NEC Asia Pacific Pte. Ltd., Singapore, Singapore

    S. Rajasekar

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  1. Vipin Das
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  2. P. Karuppanan
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  3. V. Karthikeyan
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  4. S. Rajasekar
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  5. Asheesh Kumar Singh
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Correspondence to Vipin Das .

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Editors and Affiliations

  1. School of Engineering and Physics, The University of the South Pacific, School of Engineering and Physics, Suva, Fiji

    F.M. Rabiul Islam

  2. School of Engineering and Physics, The University of the South Pacific, School of Engineering and Physics, Suva, Fiji

    Kabir Al Mamun

  3. School of Engineering, Deakin University, School of Engineering, Truganina, Australia

    Maung Than Oo Amanullah

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Das, V., Karuppanan, P., Karthikeyan, V., Rajasekar, S., Singh, A.K. (2017). Energy Grid Management, Optimization and Economic Analysis of Microgrid. In: Islam, F., Mamun, K., Amanullah, M. (eds) Smart Energy Grid Design for Island Countries. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-50197-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-50197-0_10

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