Recover the lost Phasor Measurement Unit Data Using Alternating Direction Multipliers Method

TL;DR

This paper introduces an ADMM-based algorithm for recovering missing PMU data by leveraging its low-rank property, improving efficiency and handling cases with all channels missing data, validated on IEEE power system data.

Contribution

The paper proposes a novel ADMM algorithm for PMU data recovery that does not require rank estimation and effectively handles complete channel data loss.

Findings

The proposed method outperforms existing approaches in computational efficiency.

It effectively recovers missing PMU data even when all channels are affected.

Numerical results demonstrate high accuracy and robustness on IEEE power system data.

Abstract

This paper presents a novel algorithm for recovering missing data of phasor measurement units (PMUs). Due to the low-rank property of PMU data, missing measurement recovery can be formulated as a low-rank matrix-completion problem. Based on maximum-margin matrix factorization, we propose an efficient algorithm based on alternating direction method of multipliers (ADMM) for solving the matrix completion problem. Comparing to existing approaches, the proposed ADMM based algorithm does not need to estimate the rank of the target data matrix and provides better performance in computation complexity. In addition, we consider the case of measurements missing from all PMU channels and provide a strategy of reshaping the matrix which contains the received PMU data for recovery. Numerical results using PMU measurements from IEEE 68-bus power system model illustrate the effectiveness and efficiency of the proposed approaches.