Real-Time Electromechanical Mode Identification through Energy-sorted Matrix Pencil Method

Abstract

Large areas of modern power systems are inter-connected for improved power pooling, resulting in higher system inertia. On the other hand, it provides the capability of long-distance transmission of power. Thus, increasing the potential of tie-lines to run at near-maximum capacity. The probability of inter-area oscillations between two areas increases as tie lines are operated closer to full capacity, and this is particularly prevalent near high load density areas. Inter-area stability analysis is becoming more difficult as the current power system becomes more interconnected. This paper implements the energy-sorted Matrix Pencil Method (MPM) on a real-time simulation testbed to perform an online estimation of Low-Frequency Electromechanical Oscillations (LFEOs) present in a power system that is complex and highly interconnected and also implements an oscillation detection method on Phasor Measurement Units (PMUs) data to ensure that energy-sorted MPM is be applied to the relevant data type. As a result, the estimation of modal parameters can be utilized further with confidence and promptly. The proposed process is evaluated on a Klein-Rogers-Kundur test case, and the outcome of the simulation is presented which justifies the effectiveness of energy-sorted MPM in real-time LEFOs.