A Compressive Sensing Based Method for Harmonic State Estimation

TL;DR

This paper introduces a novel compressive sensing-based method for real-time harmonic state estimation in power systems, enabling efficient detection of harmonic sources and magnitudes with limited measurements.

Contribution

It proposes a new compressive sensing approach for harmonic estimation that improves real-time monitoring capabilities in power systems.

Findings

Effective harmonic detection in noisy conditions

Accurate source and magnitude estimation with limited data

Validated on IEEE 118 bus test system

Abstract

Power quality monitoring has become a vital need in modern power systems owing to the need for agile operation and troubleshooting scheme. On the other hand, the nature of load in modern power system is changing in many ways. Digital loads, which are mostly relied on power electronic equipment, may distort the quality of power flowing through the network. Moreover, one of the most critical objectives of smart grids is to improve quality of services delivered to customers, alongside with security, reliability and efficiency. To this end, a novel method based on compressive sensing is proposed in this paper to detect the source and the magnitude of the harmonics. The method takes advantages of compressive sensing theory in such a way that a real-time monitoring of harmonic distortion is obtained with a limited number of measurements. The efficacy of the method is checked by means of various simulations on IEEE 118 bus test system. The results show the capabilities of the method in both noisy and noise-free conditions.