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—A new evolutionary algorithm known as the shuffled frog leaping algorithm is presented in this paper, to solve the unit commitment (UC) problem. This integer-coded algorithm has been developed to minimize the total energy dispatch cost over the scheduling horizon while all of the constraints should be satisfied. In addition, minimum up/down-time(More)
—Most current regulations allow small-scale electric generation facilities to participate in distributed generation (DG) with few requirements on power-purchase agreements. However, in this paper, it is shown that distribution companies can alternatively encourage DG investors into DG contracts that can significantly benefit the utility network. In this(More)
The aim of this investigation was to establish whether Varroa destructor can play a role in the transmission of Paenibacillus larvae larvae spores from infected to healthy bee colonies. Mites, collected from an Apis mellifera carnica colony heavily infected with American foulbrood and treated with Apistan®, were suspended in distilled water and treated in(More)
Keywords: FPSO algorithm Active power filter Power quality parameters Electric arc furnace PID controller a b s t r a c t In the recent years, development of industry cause to increase nonlinear and time variant loads in power systems. These loads bring about power quality phenomena such as voltage and current harmonics, current unbalance and flicker in(More)
This paper presents a novel current transformer (CT) saturation detection approach based on Gaussian Mixture Models (GMMs). High accuracy is the advantage of this method. GMMs are trained with secondary current of CT. The appropriate performance of the proposed method is tested by simulation of different fault conditions in PSCAD/EMTDC software. The results(More)
In this paper we present a combinatorial scheme based on hidden Markov models (HMM) and wavelet transform (WT) to discriminate between magnetizing inrush currents and internal faults in power transformers. HMMs are powerful tools for transient classification which compute the maximum likelihood probability between training and testing data signals for(More)