快速准确的电力系统扰动检测能够为后续扰动分析提供有效的指导信息,而广域测量系统(wide area measurement system,WAMS)的广泛应用为扰动检测提供了有力的数据基础。基于PMU量测数据,该文提出一种考虑PMU不良数据的扰动事件检测方法...快速准确的电力系统扰动检测能够为后续扰动分析提供有效的指导信息,而广域测量系统(wide area measurement system,WAMS)的广泛应用为扰动检测提供了有力的数据基础。基于PMU量测数据,该文提出一种考虑PMU不良数据的扰动事件检测方法。首先分析PMU异常数据行为特性,揭示扰动事件与不良数据的差异性特征。进一步,提出一种基于差分Teager-Kaiser能量算子与3Sigma准则相结合的PMU异常数据初筛方法,避免了低强度扰动漏检和扰动的重复检测问题。接着,利用动态时间规整和最大互信息系数分别计算不同PMU间的时空相似性,以及同一台PMU内不同量测间的相关性,并以此作为表征扰动事件和不良数据差异的特征。最后,通过局部离群概率算法对得到的综合度量指标进行分析,可实现在含有不良数据场景下的扰动事件准确检测。基于IEEE39系统,实际电网模型以及PMU实测数据,验证所提方法具有较好准确性、实时性以及泛化能力。展开更多
In experimental tests, besides data in range of allowable error, the experimenters usually get some unexpected wrong data called bad points. In usual experimental data processing, the method of bad points exclusion ba...In experimental tests, besides data in range of allowable error, the experimenters usually get some unexpected wrong data called bad points. In usual experimental data processing, the method of bad points exclusion based on automatic programming is seldom taken into consideration by researchers. This paper presents a new method to reject bad points based on Hough transform, which is modified to save computational and memory consumptions. It is fit for linear data processing and can be extended to process data that is possible to be transformed into and from linear form; curved lines, which can be effectively detected by Hough transform. In this paper, the premise is the distribution of data, such as linear distribution and exponential distribution, is predetermined. Steps of the algorithm start from searching for an approximate curve line that minimizes the sum of parameters of data points. The data points, whose parameters are above a self-adapting threshold, will be deleted. Simulation experiments have manifested that the method proposed in this paper performs efficiently and robustly.展开更多
随着大数据、云计算、云会计等技术的发展,财务工作已经逐渐进入智能化时代,财务共享应运而生,已经成为集团企业进行日常财务工作管理的重要手段。近年来,部分集团公司试图通过建立财务共享中心以自动处理各子公司的繁杂的日常业务,并...随着大数据、云计算、云会计等技术的发展,财务工作已经逐渐进入智能化时代,财务共享应运而生,已经成为集团企业进行日常财务工作管理的重要手段。近年来,部分集团公司试图通过建立财务共享中心以自动处理各子公司的繁杂的日常业务,并制定一套规范的流程以进行管理,从而降低成本,但财务共享模式下应收账款管理中仍然存在着集成度与自动化程度不足的问题,而大数据技术的发展将有力地解决上述问题,该文研究企业日常应收账款管理工作中如何实际应用K-Means算法、人工神经网络中的反向传播算法(Backpropagation Algorithm,BP算法)结合机器人流程自动化(Robotics Process Automation,RPA)技术,借此帮助企业更好地管理其应收账款,满足其经营管理的需求。展开更多
文摘快速准确的电力系统扰动检测能够为后续扰动分析提供有效的指导信息,而广域测量系统(wide area measurement system,WAMS)的广泛应用为扰动检测提供了有力的数据基础。基于PMU量测数据,该文提出一种考虑PMU不良数据的扰动事件检测方法。首先分析PMU异常数据行为特性,揭示扰动事件与不良数据的差异性特征。进一步,提出一种基于差分Teager-Kaiser能量算子与3Sigma准则相结合的PMU异常数据初筛方法,避免了低强度扰动漏检和扰动的重复检测问题。接着,利用动态时间规整和最大互信息系数分别计算不同PMU间的时空相似性,以及同一台PMU内不同量测间的相关性,并以此作为表征扰动事件和不良数据差异的特征。最后,通过局部离群概率算法对得到的综合度量指标进行分析,可实现在含有不良数据场景下的扰动事件准确检测。基于IEEE39系统,实际电网模型以及PMU实测数据,验证所提方法具有较好准确性、实时性以及泛化能力。
文摘In experimental tests, besides data in range of allowable error, the experimenters usually get some unexpected wrong data called bad points. In usual experimental data processing, the method of bad points exclusion based on automatic programming is seldom taken into consideration by researchers. This paper presents a new method to reject bad points based on Hough transform, which is modified to save computational and memory consumptions. It is fit for linear data processing and can be extended to process data that is possible to be transformed into and from linear form; curved lines, which can be effectively detected by Hough transform. In this paper, the premise is the distribution of data, such as linear distribution and exponential distribution, is predetermined. Steps of the algorithm start from searching for an approximate curve line that minimizes the sum of parameters of data points. The data points, whose parameters are above a self-adapting threshold, will be deleted. Simulation experiments have manifested that the method proposed in this paper performs efficiently and robustly.
文摘随着大数据、云计算、云会计等技术的发展,财务工作已经逐渐进入智能化时代,财务共享应运而生,已经成为集团企业进行日常财务工作管理的重要手段。近年来,部分集团公司试图通过建立财务共享中心以自动处理各子公司的繁杂的日常业务,并制定一套规范的流程以进行管理,从而降低成本,但财务共享模式下应收账款管理中仍然存在着集成度与自动化程度不足的问题,而大数据技术的发展将有力地解决上述问题,该文研究企业日常应收账款管理工作中如何实际应用K-Means算法、人工神经网络中的反向传播算法(Backpropagation Algorithm,BP算法)结合机器人流程自动化(Robotics Process Automation,RPA)技术,借此帮助企业更好地管理其应收账款,满足其经营管理的需求。
