Abstract
Power system state estimation is a useful technique that enables the system to be monitored when sufficient measurements are not available. Although it has been practiced for a long time, distribution system state estimation (DSSE) is still challenging today and is being studied from various perspectives. This is because distribution systems are large, complex, and hard to be monitored entirely using adequate measuring devices. In this study, a novel approach is proposed for DSSE, and it is demonstrated that it is possible to improve conventional state estimation results by using proper statistical models of energy consumption behaviors. For that purpose, a feeder in the Civanlar test system is analyzed by adapting real energy consumption data into a virtual consumption region with 10 465 residents created in this study. It is observed that estimated bus voltage amplitude values are improved as a result of the analyses carried out for 16 scenarios in total, which consist of four seasons and two time periods. The scenarios are grouped into two cases, base system and system with solar energy generation, each containing eight scenarios. The obtained results are significant in terms of showing that it is possible to improve DSSE results by using a statistical approach.
Cite this article as: I. G. Tekdemir, “A statistical approach for distribution system state estimation,” Turk J Electr Power Energy Syst., 2024; 4(3), 127-134.