Department of Electrical & Electronics Engineering

Research Activities

Name Prof.S.Palanikumar
Thiess Title Modified voltage control scheme for Z-source inverter based stand alone wind energy conversion using Doubly fed Induction Generator
Description The control system is implemented with a DSP-type TMS320C6713 for voltage control and the modified modulation scheme (shown in below figure). The AC output voltage and current are sensed by isolation devices, amplifiers, and a 12 bit Analog to digital converter (ADC) within the DSP. The PWM pulses generated by the DSP were then sent out through six independent PWM channels to gate the six switches (IGBT modules) of the implemented inverter. The hardware modulation signal and the high frequency triangular signal were generated by the DSP and then compared to generate the switching pulses to the inverter. Matlab/Simulink is interfaced with DSP by code composer studio, embedded target C6000 and DSP tool box. The experimental waveforms of the active, traditional zero, shoot-through states and the placement of the shoot-through state in the switching waveform of a single phase.
The experimental switching line voltage waveforms of the inverter for different values of modulation index and shoot-through duty ratio are verified. Results show the output AC voltage waveform, the voltage boost up when the shoot-through is increased with the constant modulation index. By varying the modulation index and the shoot through, the output voltage is controlled in wide range. Thus, verified that the maximum voltage gain can be achieved by maximizing the boost factor for any given value of modulation index.

Name Mr. R.Selvam, Asst Professor
Thiess Title Design and Development of an Intelligent Energy Management System for Multiple Renewable Energy Sources
Description An intelligent energy management system for maintaining the energy sustainability in renewable energy systems is introduced here. It consists of wind and photovoltaic solar panels are established and used to test the proposed IEMS. Since the wind and solar sources are not reliable in terms of sustainability and power quality, a management system is required for supplying the load power demand. The power generated by RES is collected on a common DC bus as a renewable green power pool to be used for supplying power to loads. The renewable DC power bus is operated in a way that there is always a base power available for permanent loads.
Then the additional power requirement is supplied from either wind or PV or both depending upon the availability of these power sources. The decision about operating these systems is given by an IEMS with fuzzy logic decision maker proposed in this study. Using the generated and required power information from the wind/PV and load sides, the fuzzy reasoning based IEMS determines the amount of power to be supplied from each or both sources. Besides, the IEMS tracks the maximum power operating point of the wind energy system.


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