Advanced High-Inductance SR Generator for Wind Energy System Applications Using Soft Intelligent Controller
摘要
In Wind Energy Conversion Systems (WECS), cost reduction and reliable operation is achieved by the adoption of Switched Reluctance Generators (SRG) which provide flexible control, improved fault tolerance and robustness. This work focusses on the SRG for WECS with an efficient speed control usingCascaded Adaptive Neuro Fuzzy Inference System (ANFIS), which generates dynamic speed response with improved transient characteristics. The rectified output from generator side is further enhanced by a novel Coupled Inductor (CL) based Modified Single-Ended Primary-Inductor Converter (SEPIC) controlled by Crow search algorithm (CSA) optimized Proportional Integral (PI) controller. The optimized control delivers enhanced outputs at the converter side with high efficiency and voltage values. The proposed work is simulated in Matlab and is also verified experimentally resulting in a reduced settling time of