Power system dynamic security assessment via Prony analysis(DSA)

Exhibitor: Ek Wee Tan

Supervisor: Zhao Dong

Research Group: Complex and Intelligent Systems

Industry Sector: Energy and Utilities

This project describes one of many methods of system identification techniques, Prony analysis and its application to power system stability assessment. Prony method provides an efficient approach toward obtaining power system dynamic stability characteristics from the network's response to disturbances. Prony analysis directly estimates the strength, phase, damping and frequency of the system under study. The propose method uses Prony analysis to identify the network function of the system and to decompose the large system into a parallel combination of simple first order systems. With the network identified, modal analysis method is used to determine the characteristic mode of the system model linearized about a specific operating point.

In this thesis, after power system stability fundamentals, Prony's method is presented, then power system models are developed using power system block-set (PSB) in MATLAB software for Prony analysis on stability characteristics. Observations were made both before and after fault applied, results were than compared with the modes of the system. The research outcome has shown that Prony analysis is robust and efficient for power system stability assessment, especially in view of its modal analysis.

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