Power systems optimization problems are very difficult to solve because power systems are
very large, complex, geographically widely distributed and are influenced by many …

Stability is an important constraint in power system operation. Often trial and error heuristics
are used that can be costly and imprecise. A new methodology that eliminates the need for …

Transient stability‐constrained optimal power flow is an important emerging problem with
power systems pushed to the limits for economic benefits, dense and larger interconnected …

Online dynamic security assessment (DSA) is examined in a data-mining framework by
taking into account the operating condition (OC) variations and possible topology changes …

In this paper the transient stability of power system is improved by development of an
efficient generator tripping approach. Tripping number of generators is one of the most-used …

In this paper, a new hybrid intelligent system is proposed for transient stability prediction.
This intelligent system is composed of a preprocessor, an array of neural networks (NN) and …

This paper describes the philosophy and the implementation of a preventive control
algorithm for application in power system dynamic security assessment. The methodology …

This paper proposes a new approach to model stability and security constraints in optimal
power flow (OPF) problems based on a neural network (NN) representation of the system …

With the planned massive integration of renewable energy resources, the electric network is
gradually becoming a less predictable system. In such power systems, the set of critical …

Deep learning is considered to be a promising method for total transfer capability (TTC)
evaluation due to its high speed and accuracy for nonlinear and complicated problems …