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Power supply reliability assessment for a multistate electrical power network with line loss rates

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Abstract

An electrical power network (EPN) is a critical infrastructure that provides electricity to private homes, industry, and defense and security organizations. The performance measures of EPNs include reliability, voltage stability, power quality, and economic indices. Reliability indices, which measure the frequency and duration of power outages experienced by customers, are critical performance measures of EPNs. Previous studies have examined the use of reliability indices to assess the performance of power generators in EPNs or the EPN with a single power generator, a single electricity region, and multistate transmission facilities. This paper further considers multiple multistate facilities and electricity regions and stochastic capacity for power plants and electrical substations in power supply reliability assessment. We propose a solution procedure based on a capacitated-flow network model for power supply reliability assessment, considering the line loss rates, which refer to the amount of power dissipated in an electrical conductor during transmission and distribution. A real case study is considered to illustrate that the proposed methodology can assist system engineers in designing and operating EPN reliably.

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Funding

This work is partially supported by the National Science and Technology Council, Taiwan, ROC, under Grant No. MOST 109-2221-E-030-008-MY3 and Grant No. NSTC 112-2221-E-030-014-MY2.

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Authors and Affiliations

  1. Department of Information Management, Fu Jen Catholic University, New Taipei City, 242, Taiwan, ROC

    Cheng-Ta Yeh & Shao-Hua Lyu

  2. Department of Electrical and Computer Engineering, University of Massachusetts Dartmouth, Dartmouth, MA, USA

    Lance Fiondella

Authors
  1. Cheng-Ta Yeh
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  2. Shao-Hua Lyu
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  3. Lance Fiondella
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Correspondence to Cheng-Ta Yeh.

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Yeh, CT., Lyu, SH. & Fiondella, L. Power supply reliability assessment for a multistate electrical power network with line loss rates. Ann Oper Res (2024). https://doi.org/10.1007/s10479-024-05846-4

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