This paper presents a neural network based decentralized excitation controller design for large-scale power systems. The proposed controller design considers not only the dynamics of generators but also the algebraic constraints of the power flow equations. The control signals are calculated using only local signals. The transient stability and the coordination of the subsystem control activiti...

Cascaded events may cause a major blackout which will lead to a massive economic loss and even fatalities. Lots of research efforts have been made to address the issue systematically: preventive mechanisms are designed to mitigate the impact of initiating events on the power systems; emergency control methods are proposed to prevent the power systems entering an unstable state; restorative cont...

Complex nonlinear phenomena are investigated in a basic power system model of the single-machine-infinite-bus (SMIB) with a synchronous generator modeled by a classical third-order differential equation including both angle dynamics and voltage dynamics, the so-called flux decay equation. In contrast, for the second-order differential equation considering the angle dynamics only, it is the clas...

Our research group has been developing models to understand the long-term interactions between investment and performance in the electric power system. In this paper, we discuss some of our initial results in applying these tools to understand the expected pattern of investment in the proposed West African Power Pool (WAPP). The main result shows that the interconnection between countries has a...

 Abstract—It is well-known that in an m-machine power system where each machine is represented by a second-order differential equation, the Jacobian of the system equation contains (m-1) pairs of conjugate eigenvalues and two real eigenvalues, including at least one zero. This letter proves that under the uniform damping condition, the dynamics associated with the two real eigenvalues do not h...

In this paper we study the concept of electric power system control, when the responsibility for controlling the entire system is shared by agents controlling their assigned areas. Within this framework, we suggest to study the dynamics created by the interactions of agents. In particular, we discuss the relation that exists between the information available to the different agents and their op...

Iterative “learning” by distributed control agents has been proposed for power system decision making. Such decision making can achieve agreement among control agents while preserving privacy. The iterative decision making process may interact with power system dynamics. In such cases, coupled dynamics are expected. The objective of this paper is to propose a modeling approach that can conduct ...

The deployment of synchrophasor technology in India as a part of the pilot project has significantly improved the visibility of the system dynamics in real-time. The synchrophasor data has also been found to be of great help in off-line analysis of grid events. The grid disturbance in India in July 2012 has increased the need for exploring the possible applications of synchrophasor data in moni...

As it has several features that optimize information processing, it has been proposed that criticality governs the dynamics of nervous system activity. Indications of such dynamics have been reported for a variety of in vitro and in vivo recordings, ranging from in vitro slice electrophysiology to human functional magnetic resonance imaging. However, there still remains considerable debate as t...