2021/02/22 by Ilias Zenelis, Zenelis, Ilias, Georgia Pierrou +3
Energy · Engineering · #FOS: Electrical engineering #Microgrid Control and Optimization #Power System Optimization and Stability #Power Systems and Renewable Energy #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2102.10716
openalex publication_date 2021/02/22 · openalex created_date 2022/10/05 · openalex updated_date 2026/07/28
In this paper, we propose a data-driven energy storage system (ESS)-based method to enhance the online small-signal stability monitoring of power networks with high penetration of intermittent wind power. To accurately estimate inter-area modes that are closely related to the system's inherent stability characteristics, a novel algorithm that leverages on recent advances in wide-area measurement systems (WAMSs) and ESS technologies is developed. It is shown that the proposed approach can smooth the wind power fluctuations in near real-time using a small additional ESS capacity and thus significantly enhance the monitoring of small-signal stability. Dynamic Monte Carlo simulations on the IEEE 68-bus system are used to illustrate the effectiveness of the proposed algorithm in smoothing wind power and estimating the inter-area mode statistical properties.