The objective of this paper is to present a computer
program developed for Windows to compute reliability indices
for different customers and set of customers served by the same
distribution feeder. This program deals with information
obtained directly from utility database to create an equivalent
network modeling and run contingency analytical simulations.
The system's average failure rates must be informed by the user, based on historical utility data, manufacturer test data or typical values.
The program enables to computepenalties and annual costs of energy interruptions and compare the obtained indices with the reliability index targets set by the national regulatory agency (ANEEL) for the different sets of customen and distribution feeders under analysis.
The program allows to analyze changes in the system rates and in the topology of the electrical network and, thus, to carry out a sensitive study to verify the effect of some differen protection equipment and changes in the topology ofthe systems justifyinginvestments that can improvethe reliability, the power quality, and reduce costs of energy interruption and other related costs.
Introduction:Despite the fact that around 80% of the power interruptions occur in the distribution systems, the reliability analysis of these systems had never received much attention until a few years ago. However, with the restructuring of the Brazilian electric sector and the privatization of the power distribution utilities, this situation has changed. In 1996, ANEEL -National Agency of Electric Power (regulatory agency) - was established to inspect the electric sector companies and, in 2000, it created the resolutions (laws) RES 024 and RES 522, introducing new indicators and reliability index targets for each set of customers and expressions for the calculation of penalties in the event of violations of these targets.
 ANEEL - Agência Nacional de Energia Elétrica, Resolução 24 / 2000, Brasil, 2000;
 Brown, R. E., "Electric Power Distribution Reliability", ABB Inc., Raleigh, North Carolina, 2002.
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