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Articles by A. Ebenezer Jeyakumar
Total Records ( 5 ) for A. Ebenezer Jeyakumar
  S. Sudha and A. Ebenezer Jeyakumar
  This study compares Artificial Neural Network (ANN) based power transformer protection and Wavelet combined Neural Network (WNN) based power transformer protection for classification of internal fault current and inrush currents in three phase power transformers. A typical 100 MVA, 110/220KV, /Y three phase power transformer connected between a 110KV source at the sending end and a 220KV transmission line connected to an infinite bus power system at the receiving end were simulated using PSCAD/EMTDC software. The generated data were used by the MATLAB software to test the performance of the proposed technique. The simulation results obtained show that the WNN based algorithm is faster, more reliable and accurate when compared to ANN based algorithm. It provides a high operating sensitivity for internal faults and remains stable for inrush currents of the power transformers.
  B. Anand and A. Ebenezer Jeyakumar
  This study presents, a solution procedure using Fuzzy Logic Controller (FLC) to load frequency control of an interconnected hydro-thermal system. Thermal system comprises of governor dead band and generation rate constraint non-linearities and boiler dynamics. Hydro area incorporates both non-linearities. For conventional control strategies, proportional-integral controller is used. Integral square error technique is used to find optimum conventional controller gains. This controller does not provide adequate control performance with the consideration of non-linearities and boiler dynamics, when external disturbance occurs. The proposed FLC is used to control the dynamic performance of the two area system. Seven membership function is used to design the proposed controller. Time domain simulation is utilized to study the system performance. One percent step load disturbance is in given either area of the system. Finally, simulation results conclude that the proposed controller has better control performance than conventional PI controller.
  K. Sathiyasekar , K. Thyagarajah , A. Krishnan and A. Ebenezer Jeyakumar
  The condition of the insulation of an machine can be assessed by measuring the various parameters of the insulation like capacitance, leakage current, dissipation factor, polarization index, surge voltage with standing strength etc. To assess these parameters of the insulations used in high voltage rotating machines a number of measurements have been conducted on actual stator coils of machines manufactured using resin rich technology for various test voltages, the capacitance and dissipation factors were measured and correlated as a function of test voltages. Attempts were made using Neural Network tool to predict the possibilities of establishing a correlation between the applied test voltage and the maximum variation of capacitance and dissipation factor in relation to the volume of the air filled voids in the insulation.
  S. Sudha and A. Ebenezer Jeyakumar
  This study presents a new, efficient, fast and reliable technique to discriminate internal faults from no fault conditions (inrush condition, normal, over excitation and external faults with CT saturation) in 3 phase transformers. A typical 100 MVA, 110/220 KV, Δ/Y 3 phase transformer connected between a 110 KV source at the sending end and a 220 KV transmission line connected to an infinite bus power system at the receiving end are simulated using PSCAD/EMTDC software. Various types of fault and no fault conditions are simulated and the differential currents are obtained. Wavelet transformation is done on the differential current and the d1 coefficients are obtained. The d1 coefficients are given as inputs to the wavelet based neural network trained by Particle Swarm Optimization (PSO-WNN). The simulation results show that PSO-WNN has very simple architecture, negligible error and provides more accurate results when compared to wavelet combined neural network trained by back propagation algorithm (WNN) and neural network trained by giving 3 phase differential currents as input (ANN). The performance of PSO-WNN based relay is also compared with the conventional harmonic blocking relay. PSO-WNN based relaying provides a high operating sensitivity for internal faults and remains stable for no fault conditions of the power transformers.
  S. Titus and A. Ebenezer Jeyakumar
  This study presents a solution procedure using particle swarm optimization to solve the Hydrothermal coordination problem for power generation considering Prohibited Operating Zones (POZ). Prohibited Operating Zones (POZ) induce nonlinear characteristics into the problem, dividing the operating region into various non-convex sub regions. This non convexity affects the performance of any algorithm to perform well. PSO is used as base algorithm to search for a better solution. The PSO algorithm is enhanced by the introduction of Craziness function to effectively search for a better quality solution. In addition power balance, water discharge, reservoir volume and ramp limits are considered.
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