This work presents how Superconducting Magnetic Energy System (SMES) can effectively stabilize the voltage and power of wind generator-connected grid system under sudden wind variations. The Doubly Fed Induction Generator (DFIG)-based Wind Generation Systems (WGS) are increasing in the power sector for improving substantiality and controlling climate issues. But the intermittent nature of these wind generation systems is affecting the reliability and stability of the interconnected system. The DFIG is able to support the reactive power under disturbances but it is sensitive to wind gusts affecting its low-voltage ride through. The high inductance coil of SMES is connected to the AC network through converter and a Fuzzy Logic Controller (FLC)-based chopper for real and reactive power exchange. This research explores that how SMES can influence the performance of grid-connected DFIG under short duration fast wind variation. In this research study, the Proportional Integral (PI)-controlled and fuzzy-controlled DC–DC links of SMES is also compared for the proposed network. The comparative simulation results reveal that SMES is quite effective in stabilizing the DFIG system, and also verifies that performance of proposed fuzzy controller is better than PI controller.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

AI-Controlled SMES for Improving the Stability of Grid-Incorporated Wind System Under Fast Wind Variation

  • Sonia

摘要

This work presents how Superconducting Magnetic Energy System (SMES) can effectively stabilize the voltage and power of wind generator-connected grid system under sudden wind variations. The Doubly Fed Induction Generator (DFIG)-based Wind Generation Systems (WGS) are increasing in the power sector for improving substantiality and controlling climate issues. But the intermittent nature of these wind generation systems is affecting the reliability and stability of the interconnected system. The DFIG is able to support the reactive power under disturbances but it is sensitive to wind gusts affecting its low-voltage ride through. The high inductance coil of SMES is connected to the AC network through converter and a Fuzzy Logic Controller (FLC)-based chopper for real and reactive power exchange. This research explores that how SMES can influence the performance of grid-connected DFIG under short duration fast wind variation. In this research study, the Proportional Integral (PI)-controlled and fuzzy-controlled DC–DC links of SMES is also compared for the proposed network. The comparative simulation results reveal that SMES is quite effective in stabilizing the DFIG system, and also verifies that performance of proposed fuzzy controller is better than PI controller.