Online assessment and control of low-damping power system oscillations is a challenging problem. This paper discusses the use of subspace stochastic method to visualize and characterize the time evolution of power system electromechanical modes. Using normalized instantaneous amplitudes of modal components, two time-varying indexes to determine mode distribution maps are proposed and tested. The method is well suited to automation and can be incorporated to existing wide-area monitoring systems. Simulation studies on a 16-machine, 68-bus test system show the applicability of the proposed technique. © 2013 IEEE
The occurrence of low-frequency electromechanical oscillations is a major problem in the effective o...
The paper deals with a novel method for the analysis of low-frequency inter-area oscillations, a har...
Many engineering structures, such as cranes, traffic-excited bridges, flexible mechanisms and roboti...
Abstract In this paper, a data-driven stochastic subspace identification (SSI-DATA) technique is pro...
This paper describes development and testing of a method for estimation of electromechanic modes and...
It is vital to improve the stability of the power system by accurately identifying the modal paramet...
There is a typical dynamical performance associated with every system. Oscillations are phenomena in...
In this paper a novel technique for the detection and estimation of nonlinear mode coupling in power...
This paper is looking to show to use of system data collected from wide-area monitoring systems (WAM...
The increasing penetration of inverter-based resources is affecting the overall power system securit...
Poorly damped electromechanical modes detection in a power system and corresponding stability margin...
Electromechanical modes are predominantly determined by the machine rotor angles and speeds, and as ...
Subsynchronous oscillation (SSO) usually caused by series compensation, power system stabilizer (PSS...
In this paper we present a novel method for estimating electromechanical modal parameters from noisy...
Many transient processes in power systems involve phenomena that vary in time andspace in complicate...
The occurrence of low-frequency electromechanical oscillations is a major problem in the effective o...
The paper deals with a novel method for the analysis of low-frequency inter-area oscillations, a har...
Many engineering structures, such as cranes, traffic-excited bridges, flexible mechanisms and roboti...
Abstract In this paper, a data-driven stochastic subspace identification (SSI-DATA) technique is pro...
This paper describes development and testing of a method for estimation of electromechanic modes and...
It is vital to improve the stability of the power system by accurately identifying the modal paramet...
There is a typical dynamical performance associated with every system. Oscillations are phenomena in...
In this paper a novel technique for the detection and estimation of nonlinear mode coupling in power...
This paper is looking to show to use of system data collected from wide-area monitoring systems (WAM...
The increasing penetration of inverter-based resources is affecting the overall power system securit...
Poorly damped electromechanical modes detection in a power system and corresponding stability margin...
Electromechanical modes are predominantly determined by the machine rotor angles and speeds, and as ...
Subsynchronous oscillation (SSO) usually caused by series compensation, power system stabilizer (PSS...
In this paper we present a novel method for estimating electromechanical modal parameters from noisy...
Many transient processes in power systems involve phenomena that vary in time andspace in complicate...
The occurrence of low-frequency electromechanical oscillations is a major problem in the effective o...
The paper deals with a novel method for the analysis of low-frequency inter-area oscillations, a har...
Many engineering structures, such as cranes, traffic-excited bridges, flexible mechanisms and roboti...