Speaker: 袁硕

Title: Contingency Detection in Modern Power Systems: A Stochastic Hybrid System Method

Language: Chinese

Time & Venue: 2024.12.11 22:10-23:00 腾讯会议：642-785-531

Abstract: A new stochastic hybrid system (SHS) framework for contingency detection in modern power systems is introduced. The framework uses stochastic hybrid system representations in state space models to expand and facilitate capability of contingency detection. In typical microgrids, buses may contain various synchronous generators, renewable generators, controllable loads, battery systems, regular loads, etc. For development of SHS models in power systems, we introduce the concept of dynamic and non-dynamic buses. By converting a physical power grid into a virtual linearized state space model and representing contingencies as random switching of system structures and parameters, we formulate the contingency detection problem as a joint estimation problem of discrete events and continuous states in stochastic hybrid systems. This method offers unique advantages, including using common measurement signals on voltage and current synchrophasors to detect different types and locations of contingencies, avoiding expensive local direct fault measurements and detecting certain contingencies that cannot be directly measured. The method employs a small and suitably-designed probing signal to sustain the ability of persistent contingency detection. Joint estimation algorithms are presented with their proven convergence and reliability properties.