Extraction of voltage harmonics using multi-layer perceptron neural network

This paper presents a harmonic extraction algorithm using artificial neural networks for Dynamic Voltage Restorers (DVRs). The suggested algorithm employs a feed forward Multi Layer Perceptron (MLP) Neural Network with error back propagation learning to effectively track and extract the 3rd and 5th voltage harmonics. For this purpose, two different MLP neural network structures are constructed and their performances compared. The effects of hidden layer, supervisors and learning rate are also presented. The proposed MLP Neural Network algorithm is trained and tested in MATLAB program environment. The results show that MLP neural network enable to extract each harmonic effectively.     

李宁携手淘宝共同打造官方网店

在人们纷纷谈论如何应付经济危机的时候,李宁出招了。电子商务这一招,李宁选择了淘宝,出手相当快。这个春节,李宁品牌的拥夏们已经发现,李宁在淘宝上推出了"李宁试衣坊"活动。而在不久前,在淘宝网发布的2008年企业十大网商中,李宁的淘宝官网也赫然在列。     

Dynamic control of unified power flow controller under unbalanced network conditions

The effective and reliable use of existing transmission lines are critically important because high-voltage transmission networks met enormous power demands are very expensive investments in terms of their costs. Flexible Alternating Current Transmission Systems (FACTS) are quite efficient to control the power flow of the transmission lines and increase the current capacity of system. Unified Power Flow Controller (UPFC) is the more efficient among FACTS equipments which have the potential to increase the power flow and stability of the transmission line. This paper develops new control approaches for both series and shunt inverters of UPFC. The proposed controller algorithms of shunt and series inverters are based on fuzzy logic controller and rotating orthogonal-coordinate method, respectively. Dynamic control of power flow using proposed UPFC is analyzed as mathematically. Power System Computer-Aided Design (PSCAD) is used to simulate the system and test UPFC in the simulation environment. The test results are presented to show the increased stability of the system and improved dynamic response of UPFC during faults occurred in the transmission line.     

DETERMINATION OF CADMIUM,CHROMIUM, LEAD,AND MERCURY IN POLYETHYLENE AND POLYPROPYLENE AFTER XYLENE TREATMENT BY ENERGY DISPERSIVE X-RAY FLUORESCENCE SPECTROMETRY

A convenient organic solvent treatment method was developed for the determination of Cd, Cr, Hg, and Pb in polyethylene and polypropylene matrices by energy dispersive X-ray fluorescence spectrometry. The solvent treatment method had many advantages for the fast, simple, and accurate multi-element analysis of these materials. Calibration curves were prepared using organometallic compounds in xylene in the concentration range of 1–80 mg kg^?1. The prepared samples had a homogeneous elemental distribution and good durability. The trueness for the quantification of mentioned elements were checked by using a polyethylene certified reference material. The apparent recoveries of the elements with certified values were in the range of 0.81 (Hg) to 1.14 (Pb). The precision was normally better than 8% RSD, with the exception of Hg (10%). The method detection limits were found to be 12, 24, 12, and 12 mg kg^?1 for Cd, Cr, Hg, and Pb, respectively. Polyethylene and polypropylene samples were analyzed by both the XRF method and the reference technique for comparative purposes. Application of analysis of variance (ANOVA) showed no differences between the mean results. The proposed method could be also applied to several different xylene soluble plastics.     

Robust space vector modulation technique for unbalance voltage disturbances

Space vector modulation (SVM) is one of the most popular PWM techniques used in multilevel inverters. The calculation of reference vector location is very important for SVM technique to obtain exact switching times and to determine correct space vectors. Balanced/unbalanced voltage disturbance occurred in a three-phase system affects the switching times and output voltage of the multilevel inverter. In this study, effects of the disturbances such as line–line faults, balanced and unbalanced voltage sags/swells to SVM technique are investigated and a new technique derived from Clarke transformation is proposed. The effects of disturbances are minimized with this new method. Power System Computer-Aided Design is used to simulate the proposed test system.     

A rapid method for determination of the origin of meat and meat products based on the extracted fat spectra by using of Raman spectroscopy and chemometric method

Raman spectroscopy and the principal component analysis (PCA) were successfully applied to differentiate the origin of the meat and meat products based on their extracted fat samples in the present study. A total of 132 extracted fat samples that were obtained from different meat species (cattle, sheep, pig, fish, poultry, goat and buffalo) and their salami products were examined based on their Raman measurements. Then, the collected Raman data were analyzed with a four-stage PCA method. Seven meat species and their salami products were successfully differentiated from each other according to their origin. The results of this study showed that the Raman spectroscopy with a chemometric method can be used to detect the origin of the meat species in a very short analysis time (30 s) after fat extraction, without requiring complicated chromatographic, immunologic or genetic methods and instruments as well as trained personnel.     

Hierarchical neuro-fuzzy current control for a shunt active power filter

This paper presents the design of a hierarchical neuro-fuzzy current control scheme for a shunt active power filter compared with a single fuzzy controller scheme. A single fuzzy controller scheme is presented first and an ANFIS based neuro-fuzzy controller is connected hierarchically to the first one to improve the performance. Simulation results show that harmonic compensation is achieved with both schemes, however switching performance is superior for hierarchical scheme. The method of switching controller development in this paper is new and can be applied to other power electronic converter applications for improved performance.     

Experimental and simulation based study of an adaptive filter controlled solid state transfer switch

The most common power quality problems in electrical distribution systems are related to single phase to ground faults causing unbalanced voltage sags. One of the most widely used methods for sag detection is conventional method based on d–q transformation. However, this method has the disadvantage of missing the detection of single phase-to-ground faults, because this method uses a voltage sag level signal obtained from the average of three phase voltages for sag detection. In this paper, an adaptive filter based sag detection method is proposed for solid state transfer switch (SSTS). Simulation models of the SSTS using the adaptive filter based proposed and d–q transformation based methods are developed by PSCAD/EMTDC program. Simulation results show that, the SSTS using proposed method is able to detect three phases and/or single phase voltage sags, correctly. To validate the simulation model and results, a three-phase experimental SSTS prototype is successfully constructed and experimental results are presented.