基于SCIG的驱动系统的强大的预测控制策略
Rupa Mishra1, Tapas Kumar Saha2
1School of Electrical Engineering, Vellore Institute of Technology Chennai, Chennai 600127, India.
ISA transactions
|May 22, 2024
概括
本研究介绍了独立的松鼠感应发电机 (SCIG) 驱动器的有限控制集预测方案,为分布式发电系统提供了具有快速动态和改进的电压控制的强大替代方案.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 可再生能源系统可再生能源系统
背景情况:
- 独立的电源系统需要稳定的电压和频率控制.
- 松鼠感应发电机 (SCIG) 在分布式发电中很常见,但存在控制挑战.
- 现有的控制方法可能会与非线性和参数不确定性作斗争.
研究的目的:
- 为独立的SCIG驱动器提供有限的控制集预测方案.
- 为了确保稳定的输出电压,并在负载和源变化期间保持系统变量.
- 为了最大限度地减少主动和反应功率之间的交叉合,并减轻参数不确定性.
主要方法:
- 开发了一个有限的控制集预测控制策略.
- 优化的切换瞬间是为了最小化成本函数而计算的.
- 该方案包含了系统的非线性,并解决了参数的不确定性.
- 模拟 (MATLAB/Simulink) 和实时实验 (dSPACE-1104) 是用于评估的.
主要成果:
- 预测方案有效地保持直流连接电压,机器和负载变量在设置值.
- 在过渡过程中实现了主动和反应功率之间的最小交叉合.
- 控制策略证明了对参数不确定性和速度变化的稳定性.
- 实时实验结果验证了拟议的预测解决方案的可行性.
结论:
- 有限控制集预测方案为独立的SCIG驱动提供了强大而有效的解决方案.
- 拟议的方法提高了分布式发电中的电压调节和电力质量.
- 该方案为现有的驱动系统提供了可行的替代方案,特别是对于动态性能.
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