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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Ashok Sankar
National Institute of Technology Calicut
Control & Systems Engineering Electrical & Electronics Engineering

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A Modified Dual Input DC-DC Converter for Hybrid Energy Application Sivaprasad Athikkal; Kumaravel Sundaramoorthy; Ashok Sankar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 8, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.146 KB) | DOI: 10.11591/ijpeds.v8.i1.pp81-92

Abstract

Power electronic interface has reached a new level in the area of  hybrid energy integration nowadays. The existence for the concept of  hybrid energy integration is truly questionable without a proper power electronic interface. In this paper, a modified dual input DC-DC converter which is capable of incorporating two distinct V-I characteristic sources such as solar-PV, battery, fuel cell, etc., is proposed. The converter has the ability to operate in both unidirectional and bidirectional mode with buck, buck-boost and boost operation. The software simulation of the proposed converter has been conducted in MATLAB/Simulink platform in a detailed manner and an experimental prototype of the propsed converter has been built to validate the simulation results.
Testing of a Solar-PV/Wind operated AC-DC Microgrid with LabVIEW Controller Vinu Thomas; Sivaprasad Athikkal; Kumaravel Sundaramoorthy; Ashok Sankar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1156.197 KB) | DOI: 10.11591/ijpeds.v9.i1.pp406-413

Abstract

This paper discusses about a LabVIEW based controller for the hybrid renewable energy system operated AC-DC microgrid with the major objectives of: i) predicting the power generation potential of the solar–PV and wind generators  ii) effective power management  iii) load scheduling based on the available power with the renewable sources and iv) grid/islanding mode of operation of the microgrid. In order topredict the output power of wind generator and Solar-PV system, an artificial neural network is developed.The laboratory-scale model of three phase, 400 V, 10 kVA microgrid structure is developed at National Institute of Technology Calicut, India. The developed LabVIEW based controller has been tested successfully for a real-time load and source in the laboratory environment. Test results show that the designed controller is effectively managing the output powerof the primary energy sources under different scenarios.
Co-Authors Kumaravel Sundaramoorthy Sivaprasad Athikkal Vinu Thomas