赵友国,刘尚伟,王冠中,徐海柱,李富伟,逄春
ZHAO Youguo,LIU Shangwei,WANG Guanzhong,XU Haizhu,LI Fuwei,PANG Chun

• 1:东方电子股份有限公司
• 2:浙江大学电气工程学院

摘要(Abstract)：

状态估计的作用是对SCADA(数据采集与监控)系统的原始数据进行滤波,为EMS(能量管理系统)的优化与控制提供准确的电网实时信息。然而,当量测数据不充分时,可能导致系统状态不完全可观。为此,提出了一种基于正交变换的状态估计可观性分析方法。该方法属于数值分析中的直接法,基于向量组的正交分解从原始雅可比矩阵的行空间中构造一组正交基,并利用启发式方法使得构造正交基所用的行向量最少。方法的计算步骤简单,仅利用到线性代数理论,因此便于实际工程应用且易于被工程人员掌握。最后,通过算例验证所提方法的有效性。
State estimation is employed to filter the raw data of supervisory control and data acquisition(SCADA) and to provide accurate real-time information of the power grid for the optimization and control of the EMS(energy management system). In the case of data inadequacy, however, the system state may not be fully observable. Therefore, the paper proposes an observability analysis method for state estimation based on orthogonal transformation. The method belongs to the direct method in numerical analysis. It uses the orthogonal decomposition of the vector group to construct a set of orthogonal basis from the row space of the original Jacobian matrix and uses the heuristic method to minimize the row vectors used to construct the orthogonal basis. Simple in calculation steps in which linear algebra theory is used only, the method is convenient for engineering application and can be mastered by engineering personnel. Finally, an example is used to verify the effectiveness of the proposed method.

关键词(KeyWords)： 状态估计;可观性;正交变换;启发式方法
state estimation;observability;orthogonal transformation;heuristic method

Abstract:

Keywords:

基金项目(Foundation): 中国博士后科学基金资助项目（2020M671718）

作者(Author): 赵友国,刘尚伟,王冠中,徐海柱,李富伟,逄春
ZHAO Youguo,LIU Shangwei,WANG Guanzhong,XU Haizhu,LI Fuwei,PANG Chun

DOI: 10.19585/j.zjdl.202107001

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