Abstract
This paper provides a new approach to maximize the amount of power generated by the switched reluctance generator (SRG) in the low and medium speed operations. There are many control variables which affect the power generated such as: firing angles, reference current, speed and voltage. It will incur high costs and time consuming to modify the variables using experimental set up. Hence, to minimize time, cost and aid in the manufacturing industry, a simulation model of the overall SRG drive is developed. The objective of the work is to identify the optimal parameters and characterize them under closed loop control. The study indicates that there is an optimal voltage, firing angles and reference current at each speed range. Also, the percentage of the power generated can be categorized as a function of dwell angle and speed at optimal voltage level. The optimal dwell angle is determined using the least square method. Within the closed loop system, the high percentage of power generated can be maintained by adjusting the voltage level. It allows operation in single pulse mode as opposed to the conventional current chopping during the low and medium speed.
Highlights
Development of switched reluctance machine (SRM) as a motor has been rapid especially in the areas of hybrid electrical vehicles [1,2,3,4], aerospace integral starter/generator [5,6,7,8], system and in domestic appliances such as washing machine and vacuum cleaner
Since wind energy is categorized under the low- and medium-speed range only copper losses are included in the calculation since they vary with the phase current
The following can be observed for variation of the turn on angle with turn off angle in Figure 7(a) when the switched reluctance generator (SRG) is subjected to voltage level of 325 V and speed of 35 rad/s: (1) larger turn off angle gives high percentage of power generated; (2) at each turn off angle there exists an optimal value of turn on angle
Summary
Development of switched reluctance machine (SRM) as a motor has been rapid especially in the areas of hybrid electrical vehicles [1,2,3,4], aerospace integral starter/generator [5,6,7,8], system and in domestic appliances such as washing machine and vacuum cleaner. Iterative method to identify and classify design parameters based on its application in highspeed range has been studied [21] This did not include any development of function or procedure relating the optimized parameters with machine performance. Different from the previously reported objectives, this study determines the optimal variables by investigating the impact of the controlled variables/parameters in terms of the power generated by the machine. A simulation model of a three-phase 12/8 machine is developed to analyze the different types of variables associated with the generated power It integrates the overall SRG drive and provides a platform to modify control variables in order to minimize cost and manufacturing time. The simulation work demonstrates that the model and the proposed method can be used to aid in selecting the best/optimal operation of SRG for wind energy application
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