环境激励与小幅持续周期扰动表现特征及统计学分析

发布时间：2018-07-23 12:16

【摘要】：系统中时刻存在新能源有功输出随机波动、负荷投切等环境激励,使得系统响应表现为类似噪声的小幅波动,当周期扰动幅值较小时,很容易淹没于环境激励下的随机响应信号中。本文详细推导环境激励和小幅周期扰动共同作用下系统响应的数学解析表达式,从数学角度对环境激励与小幅周期扰动共同作用的功率表征进行了阐释。在深入分析环境激励及环境激励与小幅周期扰动共同作用下系统响应统计学特征的基础上,提出基于滑动峰态系数法(SKM)的小幅周期扰动检测法。首先统计环境激励下系统联络线有功响应的四阶中心矩与方差二次方,计算得到对应的峰态系数,进而通过对所得峰态系数的量化比较,检测出淹没在环境噪声中的小幅周期扰动。IEEE 4机2区域系统、IEEE 16机68节点系统及实际系统量测数据计算分析结果证明了本文方法的可行性及有效性。
[Abstract]:In the system, there are random fluctuations in the active power output of new energy at all times, environmental excitation such as load switching and so on, which make the response of the system appear as small fluctuation of similar noise, when the amplitude of the periodic disturbance is small, It is easy to drown in random response signals under ambient excitation. In this paper, the mathematical analytical expression of the system response under the action of environmental excitation and small periodic disturbance is derived in detail, and the power representation of the interaction between environmental excitation and small periodic disturbance is explained from the mathematical point of view. Based on the analysis of the statistical characteristics of the system response to environmental excitation and the interaction of environmental excitation and small periodic disturbance, a small periodic disturbance detection method based on sliding peak-state coefficient method (SKM) is proposed. At first, the fourth order central moment and quadratic square of variance of active response of tie-line of the system are statistically analyzed, and the corresponding peak state coefficient is calculated, and then the quantification comparison of the obtained peak state coefficient is made. Small periodic disturbances submerged in ambient noise. IEEE 4 machine 2 area system IEEE 16 machine 68 node system and actual system measurement data calculation and analysis results prove the feasibility and effectiveness of this method.
【作者单位】：东北电力大学电气工程学院;
【基金】：国家自然科学基金资助项目(51507028、51377017)
【分类号】：TM712

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