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Interpreting Microgrid Reliability Using RBD-Quantitative Approaches

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Intelligent Systems, Technologies and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1148))

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Abstract

Interpreting the maintenance, reliability strengths, and weaknesses of a microgrid system within a facility can be a huge undertaking. This paper encompasses probabilistic scrutiny of works accomplished by a variety of large-scale microgrid systems following qualitative and quantitative analysis. Generally, the qualitative approach is in compliance with the best practices of maintenance and reliability activities. Using reliability block diagram (RBD) method, reliability estimation of three different large-scale microgrid systems configured with a central inverter, string inverter, and micro-inverter structures is conducted analytically to evince the most reliable and cost-effective system design structure. Overall failure rates and mean time to failures (MTTFs) are calculated in each case and compared to see the best design topology for practical acceptance.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology Arunachal Pradesh, Yupia, Arunachal Pradesh, India

    Moushumi Patowary

  2. School of Electrical Engineering, Shandong University, Jinan, P. R. China

    Arvind R. Singh

Authors
  1. Moushumi Patowary
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  2. Arvind R. Singh
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Corresponding author

Correspondence to Arvind R. Singh .

Editor information

Editors and Affiliations

  1. School of CS/IT, Indian Institute of Information Technology and Management-Kerala (IIITM-K), Technopark Campus, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada

    Ljiljana Trajkovic

  3. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

    Sushmita Mitra

  4. Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India

    P. Nagabhushan

  5. College of Computer Sciences and Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

  6. Engineering Academy of Serbia, University of Belgrade, Belgrade, Serbia

    Zoran Bojkovic

  7. Indian Institute of Space Science and Technology, Trivandrum, Kerala, India

    Deepak Mishra

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Patowary, M., Singh, A.R. (2020). Interpreting Microgrid Reliability Using RBD-Quantitative Approaches. In: Thampi, S., et al. Intelligent Systems, Technologies and Applications. Advances in Intelligent Systems and Computing, vol 1148. Springer, Singapore. https://doi.org/10.1007/978-981-15-3914-5_19

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