This work presents a procedure for transient stability analysis and preventive control of electric power systems, which is formulated by a multilayer feedforward neural network. The neural network training is realized by ...

This paper presents small-signal stability studies of a multimachine power system, considering Static Synchronous Compensators (STATCOM)and discussed control modes of the STATCOM. The Power Sensitivity Model(PSM)is used ...

This paper presents small-signal stability studies of a multimachine power system, considering Static Synchronous Compensators (STATCOM)and discussed control modes of the STATCOM. The Power Sensitivity Model(PSM)is used ...

In recent years, the integration level of renewable energy sources into the grid system has grown considerably. In the near future, renewable-based power is expected to be comparable to the conventional power generation ...

This study presents a new preventive control model based on sensitivity analysis that aims to improve the transient stability by changing the configuration of the transmission system. By considering a list of severe ...

This article proposes the application of a linear quadratic regulator feedback controller designed via linear matrix inequalities using the D-stability concept to add damping to low-frequency electromechanical oscillations ...

This work presents a procedure for transient stability analysis and preventive control of electric power systems, which is formulated by a multilayer feedforward neural network. The neural network training is realized by ...

Mathematical models have an important role in the study, analysis and planning of electric power systems operation. Suitable models produce more reliable data regarding the real behavior of the system. The main objective ...

Mathematical models have an important role in the study, analysis and planning of electric power systems operation. Suitable models produce more reliable data regarding the real behavior of the system. The main objective ...