International Journal of Electrical and Electronics Engineering

1-10

Authors: V R. Sai Kumar Sripadanna & B. Venkata Krishna

The Protection scheme is suggested for the detection of various faults in the Distributed Generation System and also for the detection of various faults in the interconnected network at different locations. In this method, positive components of currents are retrieved at fault location and are decomposed to get detailed coefficients of wavelet transforms. The concerned singular value matrices, and expected entropy values are calculated. Based on the Wavelet Shannon Entropy calculated. Indexes are defined to detect the fault. ‘Haar’ Wavelet Transform is used for the extraction of frequency components. The major priority of the protection scheme proposed is to reduce the tripping time to 10ms from the inception of fault occurrence. The proposed scheme for the detection of various faults is investigated in MATLABSIMULINK software environment.

21-36

Authors: D. Siva Nageswarrao& Y. Bhanuchandar

This paper deals with a new solution for Low voltage ride through of a grid connected DFIG with field-oriented control (vector control). Control itself acting a very vitalpart in drives and wind turbine technology. Control of the DFIG when generating energy in a wind turbine is essential and obvious. The control techniques used for DFIG are vector control (field-oriented control) and direct control technique.In vector control of a DFIG, the components of the d and the q axis components of the rotor currents and voltages are measured with PI controllers. If a reference frame oriented with the stator flux is used, the active and reactive power flows of the stator can be measured by independently by resources of quadrature and the direct current, respectively. By means of the direct current, we can control the active power whereas the reactive power can be measured via the quadrature current.A Dynamic modelling of DFIG is presented. In our power system, in way to keep constant power, voltage and frequency we use DFIG. In this a complete study is done to study the field-oriented control characteristics of DFIG by using rotor current control loops and grid voltage-oriented vector control. This system modelled in MATLAB/Simulink environment.

45-52

Authors: K. B. Santhosh Kumar & N. Rama Narayana

The operation of Fuzzy logic controller in medium voltage direct current (MVDC) link is described by using a DC link with medium voltage distribution network with back to back connected to AC system. This consideration is designed using MATLAB and demonstrate the dynamic performance of MVDC link. Here studies the real (P) and reactive (Q) power flows through the link, shows the voltage and currents at the both sides of the MVDC link and controlling of the currents in the system by using fuzzy logic controller in the inverter side.

61-66

Authors: Mostak Ahmed, Arin Dutta & Zahid Hasan Mahmood

In this research work, the electrical characteristics of the double gate FinFET have been simulated for different channel materials. Three materials, Silicon (Si), Germanium (Ge) and Silicon-Germanium (SiGe) has been considered for simulating the drain current VS gate voltage of the FinFET. The characteristics of the threshold voltage of FinFET have also been studied for these three channel materials. The channel length has been considered 50nm. After analyzing the simulations, it has been proposed the smooth increase of drain current with the gate voltage for different values of drain voltage and the less decrease of the threshold voltage for higher drain voltage can be achieved for Silicon-Germanium (SiGe) channel of the FinFET.

81-88

Authors: Adetunji A.B, Alo O.O & Popoola H.O

Data mining refers to the entire process of extracting useful and novel patterns or models form large data sets. With the widespread use of medical information systems that include databases, which have recently featured explosive growth in their sizes, physicians and medical researchers are faced with a problem of making use of the stored data. Data mining can be used to help predict future patient behavior and to improve treatment programs. By identifying high-risk patients, clinicians can better manage the care of patients today so that they do not become the problems of tomorrow. One of the most dreaded diseases in Nigeria today is Malaria. Lots of drug has been discovered for this but it is noticed that most of the drugs are not effective in everyone. When a new drug is introduced unexpected drug reaction go unnoticed until large numbers of cases are reported by the diagnosed patients. Therefore, in exploring the capability of data mining so that the drug prescribed by the doctor is more efficient and of low risk of reactions to patients, this project was embarked upon. Drug reaction can occur during treatment with pharmaceutical products. It can result in unnecessary and often fatal harm to patients. Several factors are responsible for the reaction of drug such as the patient’s age, sex, blood group and genotype. Every anti – malarial has side effect and their rate of severity depends on this factors. Hence this model was developed to mine reaction of drugs in patients. The plots showed that different anti – malarial has different local support and also have different level of reaction compared to each other. From the model generated from the mined data set of the university health center using Apriori algorithm, it was recommended that, patient already having any symptom that is the same with the drug reaction that has exceeded the confidence value should not be given such drug.