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Implementation of Monte Carlo Simulation to the Distribution Network for Its Reliability Assessment

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Book cover Innovation in Electrical Power Engineering, Communication, and Computing Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 630))

Abstract

Nowadays, there is increased interest toward the use of renewable energy resources for electricity generation in developing nations. The properties like increased reliability, good power quality and eco-friendly operation of the resources force the mankind for greater acceptance. The solar photovoltaic cell of silicon material is the main source of power generation due to social, economical and environmental benefits with public support and government incentives. Both the analytical and simulation methodologies are used for evaluation process of reliability. The randomness of PV can be covered by the implementation of Monte Carlo simulation methodology. The reliability of the distribution system can be evaluated by using time sequential Monte Carlo simulation method. At each load point of IEEE 33-bus system, the failure rate and repair time are calculated. Reliability indices like SAIFI, SAIDI and CAIDI are evaluated at constant output of rooftop PVs at each load point.

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Correspondence to Ajoya Kumar Pradhan .

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Pradhan, A.K., Kar, S.K., shill, P.K., Dash, P. (2020). Implementation of Monte Carlo Simulation to the Distribution Network for Its Reliability Assessment. In: Sharma, R., Mishra, M., Nayak, J., Naik, B., Pelusi, D. (eds) Innovation in Electrical Power Engineering, Communication, and Computing Technology. Lecture Notes in Electrical Engineering, vol 630. Springer, Singapore. https://doi.org/10.1007/978-981-15-2305-2_17

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  • DOI: https://doi.org/10.1007/978-981-15-2305-2_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2304-5

  • Online ISBN: 978-981-15-2305-2

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