Abstract

With respect to power distribution networks, which includes two types of air and ground networks; it is worth noting that the use of the air networks is more economical and therefore dominates the existing air networks. In this paper, the authors have worked on the reliability indexes changes for a month period. As well, the paper’s aim is to make a strategy in short-term (monthly) to network management in order to alleviate cutoff number and time, ENS, increasing customer satisfaction from electric distribution companies and comparing the performance of air and ground networks. The paper was done based on a case study sample substation of a network in Bakhtar regional electric company, Iran. Also, simulation results have obtained by CYME PSAF.

Highlights

  • One of the important parameters for identification of power system, study about reliability of the system

  • In order to separate the different levels, evaluation reliability of power system with regard to the relationship between each of the generation, transmission and distribution system are divided into three levels

  • In order to measure the reliability in the power distribution network, parameters have been defined, the numerical values of which indicate the level of the reliability. [8,9,10,11]

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Summary

Introduction

One of the important parameters for identification of power system, study about reliability of the system. The availability of the distribution system is much lower compared to transmission and generation systems (due to its radial structure). This problem indicates necessity to evaluate and improve the reliability in this area power system. In order to measure the reliability in the power distribution network, parameters have been defined, the numerical values of which indicate the level of the reliability. This paper, determined the reliability in what months of the year is lower of levels, and improving planning the network reliability in time periods shorter for planners and operators of the system is possible.

Assess the Reliability of Distribution Network
2-1. Load Points Indexes
Case Study
Simulation Results
Conclusion
12. Historical Reliability Data for IEEE 3006 Standards

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