István Erlich

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This paper concerns the optimization and coordination of the conventional FACTS (Flexible AC Transmission Systems) damping controllers in multimachine power system. Firstly, the parameters of FACTS controller are optimized. Then, a hybrid fuzzy logic controller for the coordination of FACTS controllers is presented. This coordination method is well suitable(More)
-This paper deals with the modeling of the doublyfed induction generator (DFIG) for stability studies. Using the space-phasor representation and the underlying quasi stationary model, suitable control algorithms for the simulation of the DFIG operating on an interconnected system is developed. The schemes include the pitch-angle/speed control and the(More)
A new stochastic optimization algorithm referred to by the authors as the ‘Mean-Variance Optimization’ (MVO) algorithm is presented in this paper. MVO falls into the category of the so-called “population-based stochastic optimization technique.” The uniqueness of the MVO algorithm is based on the strategic transformation used for mutating the offspring(More)
Voltage stability has become a serious treat of modern power system operation nowadays. To tackle this problem properly, load shedding is one of the effective countermeasures. However, its consequences might result in huge technical and economic losses. Therefore, this control measure should be optimally and carefully carried out. This paper proposes an ant(More)
This paper addresses the use of the continuous wavelet transform (CWT) in the study of power system low frequency electromechanical oscillations (LFEOs). Based on a modified complex Morlet mother-wavelet function, an approach is proposed to exploit the relationship between system low frequency oscillation features and the Morlet CWT of a system ringdown(More)
Most power systems optimization problems have to be solved under uncertainty. The scenarios used for modeling the uncertainties should be able to represent their stochastic nature. If this requires huge sampling, particle swarm optimization (PSO) based scenario reduction technique can be a good option to approximate the initial scenario distribution. This(More)
Vulnerability assessment is one of the main tasks in a Self-Healing Grid structure, since it has the function of detecting the necessity of performing global control actions in real time. Due to the short-time requirements of real time applications, the eligible vulnerability assessment methods have to consider the improvement of calculation time. Although(More)