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Probabilistic Power System Reliability Assessment: Distributed Renewable Energy Sources

Probabilistic Power System Reliability Assessment: Distributed Renewable Energy Sources
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Author(s): Oliver Dzobo (University of Johannesburg, South Africa) and Kehinde O. Awodele (University of Cape Town, South Africa)
Copyright: 2020
Pages: 24
Source title: Novel Advancements in Electrical Power Planning and Performance
Source Author(s)/Editor(s): Smita Shandilya (Sagar Institute of Research, Technology and Science, India), Shishir Kumar Shandilya (Vellore Institute of Technology, India), Tripta Thakur (Maulana Azad National Institute of Technology, India) and Atulya K. Nagar (Liverpool Hope University, UK)
DOI: 10.4018/978-1-5225-8551-0.ch004

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Abstract

This chapter presents the different dynamics in power system reliability as a result of the intrinsic behavior of distributed renewable energy sources. The output power of distributed renewable energy sources depends on the amount of available respective resource at any given time. This output power generally experiences fluctuations when compared with the output of conventional power generation units. The phenomenon is not usually included in traditional reliability worth evaluation methods for power system networks with distributed generation. In this chapter, a reliability worth evaluation model for power system networks with time-dependent distributed renewable generation resources is presented and analyzed. Time sequential Monte Carlo simulation technique is used, and the operational efficiency of the distributed generation unit is measured using the primary reliability worth index, ECOST. The derived index is fitted to a beta distribution function to show the inherent skewness of the supply reliability worth index.

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