基于双边总变化过算法对线路损失率概率密度的精确估计的研究
Jie Zhang1, Shengchun Liu2, Chao Feng3
1Electric Power Science Research Institute of State Grid Qinghai Electric Power Company, Xining, Qinghai, 810008, China. zjvecra6186603@163.com.
Scientific reports
|November 25, 2025
概括
本研究介绍了一种精确的方法来估计线路损失率的概率密度. 它使用双边总变量 (BTV) 过来提高功率数据的准确性,从而获得可靠的密度估计.
科学领域:
- 电气工程 电气工程
- 数据科学数据科学数据科学
- 信号处理 信号处理
背景情况:
- 准确估计线路损失率概率密度对于电力系统管理至关重要.
- 传统方法往往在功率数据中的噪音上扎,影响精度.
- 边缘信息保护是电力系统可靠数据分析的关键.
研究的目的:
- 为线路损失率概率密度估计提出一个精确的方法.
- 通过有效过噪声来提高功率数据的准确性.
- 在各种条件下验证拟议方法的性能.
主要方法:
- 使用双边总变量 (BTV) 过算法来抑制噪声和在功率数据中保持边缘.
- 在过数据上使用联合改进的等效电阻方法计算线路损失率.
- 应用非参数核密度估计,以获得精确的概率密度结果.
主要成果:
- 该BTV算法有效地平滑噪声,同时保持在功率数据中的关键边缘信息.
- 拟议的方法允许准确的线路损失率计算和可靠的概率密度估计.
- 高的肯德尔相关系数 (≈0.88) 证明了该方法在反映真线损失率分布方面的准确性.
结论:
- 提出的基于BTV过的方法为线路损失率概率密度估计提供了精确的方法.
- 这种技术显著提高了功率数据质量,导致更可靠的分析结果.
- 该方法的稳定性通过其在不同实验条件下的高精度得到证实.
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