Abstract
This paper presents the control of a Switched Reluctance Generator (SRG) for low voltage DC grid with the objective of efficiency maximizing. Analysis of the energy conversion, including electrical machine losses (Joule, magnetic, mechanical) and power converter losses (switching and conduction), has shown that there is an optimal combination of control variables (turn-on and conduction angles, phase current reference), which maximizes the drive efficiency. The control variables are derived from a Finite Element Analysis and parametric optimization algorithm for all of the operating points in the torque-speed plane and stored in lookup tables. The performances are evaluated with intensive numerical simulations and experimental tests with a 8/6 SRG feeding a DC resistive load for different rotational speeds. The results show good performances of the output DC voltage control with low ripples, even in the presence of speed and load variations. Thanks to the optimization, simulation results show that beyond 1500 rpm, drive efficiency is higher than 60 % and almost reaches 70 % at nominal speed. The experimental results show that, for light loads and beyond rated speed, the drive efficiency lies in the range between 60 % and 80 % .
Highlights
A microgrid is defined as a set of energy sources, energy storage devices, and loads
The DC microgrid [1] has emerged as a serious candidate for different reasons, among which: several renewable energy sources produce direct current, and several loads are of DC type
They are determined while using Finite Element Analysis under the constraint of maximum efficiency and stored in lookup tables
Summary
A microgrid is defined as a set of energy sources (including power converters), energy storage devices, and loads. The main issue is to maximize the efficiency of the drive (including the electrical generator, the power converter, and the excitation source) for the whole torque-speed range. Phase reference current Ire f , turn on angle ψ, and conduction angle θ p are identified as key control parameters They are determined while using Finite Element Analysis under the constraint of maximum efficiency and stored in lookup tables. The main contributions are efficiency optimization, including all of the generator and power converter losses, a robust and straightforward PI controller for DC bus voltage regulation, an easy and less time-consuming implementation with optimal key control parameters stored in lookup tables. A conclusion and discussions on future work close the paper
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