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相关概念视频

Determination of Expected Frequency01:08

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Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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A frequency distribution table can be constructed using the steps given below.
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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
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相关实验视频

Updated: Sep 10, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

635

在智能电网中开发可靠的频率估计算法

Yongqian Yu1, Yi Yang1, Xinyang Wang1

  • 1School of Computer & Communication Engineering, University of Science & Technology Beijing, Beijing, 100083, China.

Scientific reports
|August 26, 2025
PubMed
概括
此摘要是机器生成的。

一个新的增强复杂最小平均平方 (ACLMS) 算法和一个可变步骤大小版本 (VSS-IACLMS) 在动力系统中提供了可靠的频率估计,即使是冲动噪声.

关键词:
美国航空航天局冲动式噪声强大的频率估计智能电网不平衡的三相电力系统在VSS-IACLMS

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Last Updated: Sep 10, 2025

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科学领域:

  • 电气工程
  • 信号处理
  • 电力系统

背景情况:

  • 增强复杂最小平均平方 (ACLMS) 算法在不平衡的三相电源系统中有效用于频率估计.
  • 在智能电网中常见的冲动噪声环境中,ACLMS依赖于[Formula:见文本]标准,限制其性能.

研究的目的:

  • 开发一种针对重尾噪声的通用ACLMS算法 (IACLMS).
  • 设计一个可变的步骤大小IACLMS (VSS-IACLMS) 算法,以提高接近性和准确性.

主要方法:

  • IACLMS算法将噪声强度的[公式:见文本]标准替换为[公式:见文本]标准.
  • VSS-IACLMS算法将一个可变的步骤大小纳入IACLMS框架.
  • 这两种算法都使用广泛的线性复杂值模型和克拉克的转换.

主要成果:

  • 与ACLMS相比,提出的IACLMS和VSS-IACLMS算法显示出更高的稳定性和更快的融合.
  • VSS-IACLMS的性能优于IACLMS,达到接近克拉梅尔-拉奥下限的平均平方误差性能.

结论:

  • IACLMS和VSS-IACLMS为噪音高的电力系统中的频率估计提供了有效的解决方案.
  • VSS-IACLMS提供了更高的准确性和融合,使其非常适合智能电网应用.