首页> 外文会议>14th International Conference on Harmonics and Quality of Power >Combined, experimental data supported simulations in development of power grid impedance identification methods
【24h】

Combined, experimental data supported simulations in development of power grid impedance identification methods

机译:结合实验数据支持的电网阻抗识别方法开发中的仿真

获取原文

摘要

The development of invasive methods for power grid investigations is not easy as has to be made in comfortable conditions (laboratory equipped with instrumentation and enough computing power), while grid signals and experiments are accessible in field conditions. Ad hock planned invasive experiments during research development are dangerous to the power system and the software/hardware developer. The paper is focused on development of invasive methods of grid impedance determination with the use of experiment data supported simulations. Simulations form standard tool replacing difficult to access reality, however can not deliver enough detailed description of signals which exist in real power grids, and which affect impedance identification/determination DSP. In the paper the combined method for generating valuable signals, which describe the excited real grid, is proposed. The method needs passive (non-invasive) grid observations and enriches them with testing signals of the simulated grid. In such the approach the simulations are responsible only for impedance information, while observations deliver full information on the real grid signal properties. The usefulness of the method for impedance devoted DSP improvement was illustrated with the examples of a grid exciter development.
机译:电网调查的侵入性方法的开发并不容易,因为必须在舒适的条件下(配备仪器和足够的计算能力的实验室)进行,而在现场条件下可以访问电网信号和实验。研究开发期间进行的有计划的侵入性实验对电源系统和软件/硬件开发人员来说是危险的。本文着重于利用实验数据支持的仿真技术开发侵入式电网阻抗确定方法。仿真是替代难以访问的现实的标准工具,但是无法提供对真实电网中存在的信号的足够详细描述,这些信号会影响阻抗识别/确定DSP。在本文中,提出了一种用于描述有价值信号的组合方法,该方法描述了被激励的真实网格。该方法需要被动(非侵入性)网格观测,并通过模拟网格的测试信号丰富它们。在这种方法中,仿真仅负责阻抗信息,而观察则可提供有关真实电网信号特性的完整信息。通过电网励磁机开发的示例说明了用于阻抗改进DSP的方法的有用性。

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