KPR Institute of Engineering and TechnologyTamilnadu

India

KPR Institute of Engineering and TechnologyTamilnadu

India
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Vijayalakshmi V.J.,KPR Institute of Engineering and TechnologyTamilnadu | Ravichandran C.S.,Sri Ramakrishna Engineering CollegeTamilnadu | Amudha A.,Karpagam UniversityTamilnadu
Journal of Theoretical and Applied Information Technology | Year: 2014

The objective of the proposed work is to design a multilevel inverter for solar energy applications so as to reduce the Total Harmonic Distortion (THD) and to improve the power quality. To obtain the accurate THD values inclusion of higher order harmonics is essential. A concept of Dual Phase Analysis (DPA) is introduced in this paper. DPA proposes an accurate method to determine the harmonics content in the inverters. A novel concept of application of Heuristic Optimization techniques for estimating the optimum switching angles for the voltage and harmonic control of cascaded multilevel inverters is performed. In this work, neural network based on Gradient Descent Optimization is the preferred Heuristic algorithm. The Neural Network can be trained offline and online. DPA is used in analyzing the harmonic spectrum of the multilevel inverter output. In this paper, the performance of seven level inverters for solar energy application is designed and analyzed. © 2005 - 2014 JATIT & LLS. All rights reserved.


Kannan P.,KPR Institute of Engineering and TechnologyTamilnadu
Journal of Electrical Engineering and Technology | Year: 2015

HVDC technology has become popular as an economic mode of bulk power transmission over very long distances. Polymeric insulators in HVDC power transmission lines are affected by surface tracking and erosion problems due to contamination deposit, which pose a greater challenge in maintaining the reliability of the HVDC system. In addition, polymeric insulators are also naturally affected by aging due to various environmental stresses, which in turn accelerates the surface tracking and erosion problems. Research works towards the improvement of tracking and erosion resistance of polymeric insulators by adding nano-sized fillers in the base material are being carried out worldwide. However, surface tracking and erosion performance of nano-filled aged polymeric insulators for HVDC applications are not well reported. Hence, in the present work, tracking and erosion resistance of the nano Al(OH)3 filled silicone rubber insulation material has been evaluated under DC voltages at different filler concentrations and aged conditions, as per IEC 60587 test procedures. Leakage current and contact angle measurements were carried out to understand the surface hydrophobicity. Moving average technique was used to analyze the trend followed by leakage current. Water aged specimen shows less tracking resistance when compared with thermal aged specimen. It is observed that nanofiller concentration of 5% is even sufficient to get better tracking/erosion resistance under DC voltages. © The Korean Institute of Electrical Engineers.


Vijayalakshmi V.J.,KPR Institute of Engineering and TechnologyTamilnadu | Ravichandran C.S.,Sri Ramakrishna Engineering CollegeTamilnadu | Amudha A.,Karpagam UniversityTamilnadu | Mohamed Ibrahim A.,KPR Institute of Engineering and TechnologyTamilnadu
International Journal of Applied Engineering Research | Year: 2015

The concept of dual phase analysis based harmonic elimination in multilevel inverter is introduced in this paper. To obtain accurate THD value and the harmonic spectrum, inclusion of higher order harmonics is very essential. A novel concept of application of Heuristic Optimization techniques for estimating the optimum switching angles for the voltage and harmonic control of cascaded multilevel inverters is performed. The Selected Harmonic Elimination strategy is used for harmonic control. In this paper, neural network based on Gradient Descent Optimization is the preferred Heuristic algorithm. The Neural Network can be trained offline and online. It is trained off line using the voltage profile of the desired switching angles given by the classic harmonic elimination strategy to any value of the modulation index. Dual Phase Analysis (DPA) is used in analyzing the voltage profile and the harmonic spectrum of the multilevel inverter output. After training the proposed Artificial Neural Network (ANN) system, a large and memory demanding look-up table is replaced with trained neural network to generate the optimum switching angles with lowest Total Harmonic Distortion (THD) for a given modulation index. © Research India Publications.

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