对于电力系统动态同步与传感器增益降解的稳健估计方法
Yi Wang1, Jiawei Zhang1, Yaoqiang Wang1
1School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
ISA transactions
|November 19, 2024
概括
这项研究引入了一种可靠的方法来估计电网同步动态,即使有传感器故障. 新型修改的耐故障扩展卡尔曼波器 (MFTEKF) 确保精确监控频率,电压和大小.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 信号处理 信号处理
背景情况:
- 实时电力系统同步估计对于运行安全至关重要.
- 由于故障或干扰而导致的传感器增益降低会损害估计准确度.
研究的目的:
- 开发一种可靠的方法,用于在传感器增强降低下动态估计电网同步.
- 准确监测和跟踪频率,电压相角和大小.
主要方法:
- 使用离散分布 [0,1] 描述随机传感器增益降解.
- 建立了传感器增强降解的状态空间模型.
- 在递归估计器框架内开发了一种新的修改过失耐受扩展卡尔曼波器 (MFTEKF).
主要成果:
- 拟议的MFTEKF在动态估计方面表现强.
- 实现了电网动态特征的精确监测和跟踪.
- 实验结果验证了MFTEKF的有效性.
结论:
- 在传感器增益降低的情况下,MFTEKF为电网同步估计提供了可靠的解决方案.
- 这种方法提高了电力系统的安全性和操作控制.
- 开发的过器有效地解决了现实世界的传感器缺陷带来的挑战.
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