Robust Observer Based Methodology for Frequency and Rate of Change of Frequency Estimation in Power Systems

TL;DR

This paper introduces a robust observer-based adaptive detection methodology for accurately estimating power system frequency and its rate of change, effectively handling measurement distortions and noise.

Contribution

It presents a novel adaptive detection method with guaranteed stability that neutralizes measurement distortions and demonstrates superior performance over existing techniques.

Findings

Effective neutralization of harmonics and outliers.

Robust performance under noise and step changes.

Validated on IEEE benchmark and laboratory setup.

Abstract

An observer based adaptive detection methodology (ADM) is proposed for estimating frequency and its rate of change (RoCoF) of the voltage and/or current measurements acquired from an instrument transformer. With guaranteed convergence and stability, the proposed methodology effectively neutralizes the effect of the measurement distortions like harmonics, decaying DC components and outliers by adding its counter negative. It is robust to noise statistics, performs well while encountering step changes in amplitude/phase and is demonstrably superior to its precursors as established by test results. A benchmark IEEE NETS/NYPS 16 machine 68 bus power system has been used for performance evaluation of robust ADM against its precursors and scaled laboratory setup based on OP5600 multiprocessors was used for establishing its real-time applicability.