A Modified ERA Algorithm for Mode Estimation in Power System

Abstract

AbstractWith the engagement of renewable energy sources into the existing grid, the uncertainty in generation has increased. This increases the instability problems in power system, which demands uninterrupted monitoring and stability analysis in real-time. This paper proposes a modified Eigen realization algorithm (ERA) for real-time detection of poorly damped modes in power system, utilizing phasor measurement unit (PMU). The proposed method overcomes the drawback of data loss from the PMU which occurs due to communication delay, hardware faults, etc. In this context, the ERA algorithm is modified by using a fast-computing non-linear filter to impute the missing values of the complex-valued data matrix to handle the incomplete measurements. Finally, the ERA algorithm is applied using a robust dataset to give a precise estimate of the modal parameters. The robust performance of the proposed scheme over the ERA and Prony estimator has been illustrated with incomplete PMU data and noise on simulated signals through Monte-Carlo simulations. The efficiency of the proposed method over the other methods is also demonstrated on real data derived from Western Electricity Coordinating Council (WECC).KeywordsPMUNon-linear filterMode estimationWECC