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文章摘要
有色高斯噪声对功率估计算法的影响
Influence of colored Gaussian noise on power estimation algorithm
Received:June 25, 2022  Revised:July 01, 2022
DOI:j.issn1001-1390.2025.08.018
中文关键词: 有色高斯噪声  功率估计  极限误差  蒙特卡罗
英文关键词: colored Gaussian noise, power estimation, limit error, Monte Carlo
基金项目:国家自然科学基金资助项目(NSFC-51577006)、国网江西省电力有限公司重大科技项目(521852210016)
Author NameAffiliationE-mail
DU Mengru School of Information Science and Technology, Beijing University of Chemical Technology 2277682762@qq.com 
HU Tao Power Supply Service Management Center, State Grid Jiangxi Electric Power Co., Ltd. hutaohr@163.com 
WANG Xuewei* School of Information Science and Technology,Beijing University of Chemical Technology wangxw@mail.buct.edu.cn 
Shi Hanxiang Jingdezhen Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd. 52004474@qq.com 
LIU Shiping Power Supply Service Management Center, State Grid Jiangxi Electric Power Co., Ltd. liushiping822@163.com 
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中文摘要:
      针对新型电力系统中有色噪声干扰日益增加,影响有功功率估计算法准确度的问题,文中建立了含有非平稳有色高斯噪声的有功功率卷积和估计算法,推导了噪声对有功功率估计算法的重要影响项;分析了有功功率估计算法输出噪声信号的分布特性;推导了有色高斯噪声导致有功功率估计算法的理论相对极限误差解析关系式;采用蒙特卡罗仿真实验分析了有色高斯噪声导致有功功率估计算法的相对极限误差,结果表明了理论相对极限误差关系式的正确性;该相对极限误差关系式给出了评价非平稳有色高斯噪声对有功功率估计算法误差影响的普适方法。
英文摘要:
      Aiming at the problem that the accuracy of the active power estimation algorithm is affected by the increasing colored noise of the novel power system, this paper firstly establishes the active power convolution sum estimation algorithm with non-stationary colored Gaussian noise, and deduces the important terms of noise which influencing the active power estimation algorithm. Secondly, the distribution characteristics of the output noise signal from the active power estimation algorithm are analyzed, then, the analytical formula of theoretical relative limit error of the active power estimation algorithm caused by colored Gaussian noise is derived. Finally, Monte Carlo simulation experiments are used to analyze the relative limit error of the active power estimation algorithm caused by colored Gaussian noise, and the results show that the theoretical relative limit error formula is correct, and the relative limit error formula gives a general method to evaluate the influence of non-stationary colored Gaussian noise on the error of the active power estimation algorithm.
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