Improving the reliability of distribution networks through the introduction of FLISR and selective ACR

Abstract

The key issue of the study is to assess the effectiveness of the application of existing automation measures in electrical distribution networks in terms of reliability. The issue becomes relevant due to the constant increase in the duration of power transmission lines in distribution networks, which increases the likelihood of damage and further disconnection of the line from protections. The methods of reducing the time during which the under-discharge of electricity occurs are considered by using automation tools such as selective automatic re-activation and an automatic network restoration system (FLISR). The article calculates the main reliability indicators for the use of an automatic network restoration system and selective automatic re-activation using the example of a real 15 kV network section. A section of the distribution network of the Kaliningrad region, including two power transmission lines, was selected as the object of research. Calculations were carried out for three network configuration options: a section of the network in its existing form without modernization; a section of the network using only FLISR; a section of the network using FLISR and selective automatic re-activation system together. The Ministry of Energy's methodology was used to determine indicative reliability indicators. A comparative assessment of the SAIDI, SAIFI and CAIDI indicators was carried out for the three network configuration options described above. The implementation of the proposed network automation measures provides a significant reduction in the average duration of outages and, to a lesser extent, the average frequency of power line outages. The greatest contribution to the reduction of indicative reliability indicators is made by the use of selective automatic reactivation system. So, an assessment of the effectiveness of introducing FLISR and selective automatic reclosing has been carried out in order to achieve the target values for indicative indicators of the reliability of the electrical network.