1. Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators
- Author
-
Tiejun Zhao, Xiaoshu Zan, Yi Gong, Hang Lin, and Guanqun Xu
- Subjects
010302 applied physics ,TK7800-8360 ,Computer science ,parallel system ,020208 electrical & electronic engineering ,Control (management) ,02 engineering and technology ,01 natural sciences ,Switched reluctance motor ,switched reluctance generator ,Control theory ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Electronics ,Differential evolution algorithm ,efficiency optimization ,differential evolution algorithm - Abstract
To solve motor heating and life shortening of parallel switched reluctance generator (SRG) induced by uneven output currents due to different external characteristics, we generally adopt current sharing control (CSC) to make each parallel generator undertake large load currents on average to improve the reliability of parallel power generation system. However, the method usually causes additional loss of power because it does not consider the efficiency characteristics of each parallel generator. Therefore, with the efficiency expression for the parallel system of SRG established and analysed, the control strategy based on differential evolution (DE) algorithm is proposed as a mechanism by which to enhance generating capacity and reliability of multi-machine power generation from the perspective of efficiency optimisation. We re-adjust the reference current of each parallel generator to transform the working point of each generator and implement the efficiency optimisation of parallel system. The performance of the proposed control method is evaluated in detail by the simulation and experiment, and comparison with traditional CSC is carried out as well.
- Published
- 2021