Determination of the minimum number of shared phasor measurements for a new line outage detection approach in external power network

Abstract

Security analysis is one of the most important functions employed by power system operators to prevent undesired cascading contingencies leading to a blackout, in an ultimate phase. To improve the security analysis of an internal power network, the accurate modeling of the external network is important in an interconnected power system. In this paper, a new methodology is proposed to identify the line outage in an external power system by using the minimum PMU measurements shared by the external system. This method is organized in several steps. First, the branches of an external power system that their outages have the considerable effect on the flow of tie-lines are identified. These branches are called critical lines. Then, based on a sensitivity analysis technique, the most sensitive measurements are identified with respect to the outage of critical lines. After that, an algorithm is proposed to prioritize these measurements to determine the minimum number of the required measurements. All of these steps are done with the help of a new artificial neural network-based approach. The proposed method is tested on a real power network which is a part of Iranian power system. Simulation results show the effectiveness of the proposed method.