Multi-Objective Control Strategy for Switched Reluctance Generators in Small-Scale Wind Power Generations

Linqiang Wang, Cheng Liu, Zongwen Jiang, Weiren Xiao, Shuaiwei Ren, Jiaxin Ding and Qing Wang ()
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Linqiang Wang: School of Information Engineering, Nanchang University, Nanchang 330031, China
Cheng Liu: School of Advanced Manufacturing, Nanchang University, Nanchang 330031, China
Zongwen Jiang: School of Information Engineering, Nanchang University, Nanchang 330031, China
Weiren Xiao: School of Information Engineering, Nanchang University, Nanchang 330031, China
Shuaiwei Ren: School of Information Engineering, Nanchang University, Nanchang 330031, China
Jiaxin Ding: School of Information Engineering, Nanchang University, Nanchang 330031, China
Qing Wang: School of Information Engineering, Nanchang University, Nanchang 330031, China

Sustainability, 2023, vol. 15, issue 7, 1-17

Abstract: Switched reluctance generators (SRGs) are widely used in wind power generation. However, due to the natural tendency of SRG, there are always nonnegligible conflicts to achieve high efficiency and low output voltage ripple at the same time. This creates difficulties for the high-performance of SRG. Thus, a multi-objective optimization control strategy is proposed in this paper to improve the static performance of SRG. The proposed control strategy contains following steps. First, in order to gain the maximum output power range at different rotor speeds, the turn-off angle is optimized off-line by simulated annealing algorithm (SAA). The optimized results are fitted as a function of rotor speed for on-line regulating; then, a closed-loop controller is built, and the reference current is regulated according to the difference between actual output power and required output power. Second, a multi-objective function is constructed as the evaluation result of SRG performance, which takes system efficiency, output voltage ripple and power converter loss into consideration. In the end, the turn-on angle is tuned by SAA according to the real-time multi-objective evaluation result. The proposed control strategy can be flexibly applied to SRGs with different structures and avoids the disadvantage of single-objective optimization. The simulation and experiments results show that the overall performance of SRG is improved.

Keywords: switched reluctance generator; system efficiency; output voltage ripple; power converter loss; multi-objective control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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