[Online] Faculty Candidate Talk Friday 12th May 9:30 am

Continuous disturbance injection-based islanding detection of an inverter-interfaced distributed generator (IIDG) has been a general trend in reported literature work. The major issues that persist in previous islanding detection methods are large Non-Detection Zone (NDZ), poor Power Quality (PQ), high implementation cost, and lack of real-time validation. Furthermore, the selection of a generic threshold is not considered for general applications and depends on the system’s rating. Various types of islanding detection methods are reported in the literature as passive, active, and hybrid methods.

In this talk, a local voltage and current measurement-based hybrid islanding detection method for IIDGs will be presented in detail. The parameters are estimated from the fundamental phasors of voltage and current at the Point of Common Coupling (PCC) of IIDG using Space Vector Rotation (SVR). The proposed disturbance in IIDG is injected only after disturbance detection by SVR parameters to mitigate the impact on PQ. Disturbance identification is easy due to the combined PCC voltage and current effects on parameter estimation. The disturbance injection is controlled and self-decaying. Further, the talk will discuss the validation of the proposed approach on Real-Time Digital Simulator (RTDS) and Controller Hardware In the Loop (CHIL) setup. The talk will also highlight the advantage of the proposed method in terms of real-time efficacy (low islanding detection time) with no NDZ and negligible impact on PQ for the detection of different islanding events.

At the end of the talk, a brief overview of recently reported work on “Dynamic-State-Estimation-Based Cyber Attack Detection for Inverter-Based Resources” will be delivered.