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

Abstract

Electric utilities typically present their network performance regarding System Average
Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI),
and Customer Average Interruption Duration Index (CAIDI) indices. These indices are mean
values 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 highperformance
value, while the worst customer should have a low-performance value.
However, with the performance standards introduced by the energy regulator, the
classification of best- and worst-served customers (WSC) should differ. Energy regulators in
most countries regulate the electricity customers' minimum standard performance in terms
of the number of interruptions and duration of the interruptions. These requirements are
to protect customers from experiencing excessive interruption and duration. The method
used to assess customer performance is Monte Carlo simulation, which incorporates
performance standard limits. The network used in this simulation is an IEEE 30 bus, and the
output of the simulation is the number of interruptions and duration of interruption for each
customer in the network. The WSC is the customer that able to refined both it lowed its own
interruption and duration of interruption specifically and improved SAIFI/CAIDI of network
performance generally. Plus, the electric utility company may pay fewer penalties if WSC is
served better.