首页> 外文期刊>Smart Grid, IEEE Transactions on >A Model-Free Voltage Control Approach to Mitigate Motor Stalling and FIDVR for Smart Grids
【24h】

A Model-Free Voltage Control Approach to Mitigate Motor Stalling and FIDVR for Smart Grids

机译:一种无模型电压控制方法,用于减轻电动电网的电动机停滞和FIDVR

获取原文
获取原文并翻译 | 示例
       

摘要

Electric power networks are large and highly nonlinear dynamical systems that present unique challenges to control design. Though there is a large number of dynamic models for power system stability and control, many models are only useful with right assumptions and wrong for other tasks. Moreover, the dynamic behavior of the grid is increasingly complex under the banner of smart grids. These lead to the difficulty of developing appropriate dynamic modeling, and thus an efficient control strategy. To avoid such modeling challenges, this work presents a novel dynamic voltage control strategy based on a model-free control (MFC) approach, requiring no modeling procedure. In particular, it focuses on fault-induced delayed voltage recovery (FIDVR) events, which require complex and accurate dynamic load models to replicate such events. This work utilizes MFC as an online controller to achieve the desired voltage stability under the FIDVR event. The proposed MFC strategy allows simple implementation and low computational cost for efficient mitigation of FIDVR. For benchmarking, a reasonably accurate dynamic performance model is explored. Simulation results with the IEEE 57 bus test network demonstrate the enhanced dynamic voltage profile for load buses having induction motors with the support of reactive power resources.
机译:电力网络是大型且高度非线性动力系统,对控制设计具有独特的挑战。虽然电力系统稳定性和控制有大量的动态模型,但许多型号仅适用于正确的假设和错误的其他任务。此外,在智能电网的横幅下,网格的动态行为越来越复杂。这些导致难以开发适当的动态建模,从而实现有效的控制策略。为避免这种建模挑战,这项工作基于无模型控制(MFC)方法,提供了一种新的动态电压控制策略,需要没有建模过程。特别是,它侧重于故障引起的延迟电压恢复(FIDVR)事件,这需要复杂和准确的动态负载模型来复制此类事件。这项工作利用MFC作为在线控制器,以实现FIDVR事件下的所需电压稳定性。拟议的MFC策略允许简单的实施和低计算成本,以便有效缓解Fidvr。对于基准测试,探讨了合理准确的动态性能模型。使用IEEE 57总线测试网络的仿真结果证明了具有电动电动机的负载总线的增强动态电压曲线,其支持具有无功功率资源。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号