Prediction of Generators' Participation Factors and Oscillation Types for Dominant Oscillatory Modes of Power System

Abstract

Small-signal rotor angle stability, also known as small-signal stability, is an important issue for power system operation. This stability is associated with inter-area, local, control, and torsional oscillations. To cope with it, the type and main drivers of the oscillations should be determined. In this way, the system operators can plan more effective preventive and corrective actions, e.g., to transfer power generation from more vulnerable units to less vulnerable ones. However, determining oscillation modes and their participation factors by means of conventional methods (e.g., time-domain simulation and modal analysis) is a challenging and time-consuming task, which is not appropriate for on-line environments, such as dispatching centers of power systems. In this article, a new viewpoint for this problem is proposed through modeling it as a forecast process by which the participation factors of generators for dominant modes as well as the oscillation types are predicted. A new prediction strategy, composed of an information-theoretic feature selection, a probabilistic neural network, and a line search procedure, is also presented to implement the forecast process. The effectiveness of the proposed approach for small-signal stability evaluation is extensively illustrated on the IEEE New England test system.

Keywords:

• small-signal stability
• oscillation mode
• participation factor
• feature selection
• probabilistic neural network
• line search procedure

Additional information

Notes on contributors

Mohammad Hossein Velayati

Mohammad Hossein Velayati was born in 1985. At present, he is pursuing his Ph.D. in the Department of Electrical and Computer Engineering at Semnan University, Semnan, Iran. His research interests include power system stability, power quality of power systems, as well as artificial intelligence and its applications to the problems of power systems.

Nima Amjady

Nima Amjady received his B.S., M.S., and Ph.D. in electrical engineering from Sharif University of Technology, Tehran, Iran, in 1992, 1994, and 1997, respectively. At present, he is a full professor with the Electrical Engineering Department, Semnan University, Semnan, Iran. He is also a consultant with the Esfahan Regional Electric Company of Iran. He has been selected as the Iran's youngest professor in 2007. His research interests include forecast processes and reliability of power systems as well as operation and planning of electricity markets.

Seyyed Ahmad Hosseini

Seyyed Ahmad Hosseini received his B.S. from Shahid Rajaee University, Tehran, Iran, in 2011 and his M.S. from Semann University, Semnan, Iran, in 2014, both in electrical engineering. He is currently contracted as an adjunct instructor with Iran Technical and Vocational University. His major fields of interest include power system dynamics, stability, and digital signal processing.