Determined the Worst Served Customer using Regulatory-based Monte Carlo Simulation

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Authors: Mohd Ikhwan Muhammad Ridzuan, Ahmad Zairi Mohd Zain, Nur Nabihah Rusyda Roslan, Ishak Ruhaizad
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Abstract

Electric utilities typically present their network performance regarding System AverageInterruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI),and Customer Average Interruption Duration Index (CAIDI) indices. These indices are meanvalues for the fictitious types of customers. The report presents No values for the best,average, and worst types of customers. Normally, the best customer should have a highperformancevalue, while the worst customer should have a low-performance value.However, with the performance standards introduced by the energy regulator, theclassification of best- and worst-served customers (WSC) should differ. Energy regulators inmost countries regulate the electricity customers' minimum standard performance in termsof the number of interruptions and duration of the interruptions. These requirements areto protect customers from experiencing excessive interruption and duration. The methodused to assess customer performance is Monte Carlo simulation, which incorporatesperformance standard limits. The network used in this simulation is an IEEE 30 bus, and theoutput of the simulation is the number of interruptions and duration of interruption for eachcustomer in the network. The WSC is the customer that able to refined both it lowed its owninterruption and duration of interruption specifically and improved SAIFI/CAIDI of networkperformance generally. Plus, the electric utility company may pay fewer penalties if WSC isserved better.

Fields of Study & Subjects

Power System Reliability and Maintenance Optimal Power Flow Distribution Power System Optimization and Stability

Publication details

Journal / source
Journal of Engineering Research and Education (JERE)
Volume
17
Pages
140–153
Publication date
30 January 2026
Language
EN