基于改进自适应UKF算法的中压配电网鲁棒动态状态估计方法

doi:10.11930/j.issn.1004-9649.202305071

摘要/Abstract

摘要：

针对中压配电网缺少实时量测、伪量测精度较低以及现有的动态状态估计（dynamic state estimation，DSE）方法均采用恒定系统处理状态过程噪声的问题，提出了一种基于改进自适应无迹卡尔曼滤波（unscented kalman filter，UKF）算法的中压配电网鲁棒DSE方法。首先，利用中压配电网变压器低压侧的智能电表量测和变压器模型，推导出等效中压量测以增强中压配网量测冗余度；然后，借鉴信号处理技术对系统状态过程噪声的协方差矩阵实时更新并融入UKF算法，以减轻状态预测和量测滤波的不确定性；最后，基于15节点中压配电网进行仿真。仿真结果表明：所提方法能够有效地进行中压配电网的动态状态估计，获取更为精确的态势感知信息。

关键词: 实时量测, 无迹卡尔曼滤波, 中压配电网, 动态状态估计

Abstract:

To address the issues of the lack of real-time measurement, low accuracy of pseudo measurement, and the assumption of constant system state process noise in existing dynamic state estimation (DSE) methods for medium voltage distribution networks, this paper proposes a robust DSE method for medium voltage distribution networks based on an improved adaptive unscented Kalman filter (UKF) algorithm. Firstly, the method uses the smart meter measurement and transformer model at the low voltage side of the distribution transformer in the medium voltage distribution network to derive the equivalent medium voltage measurement to enhance the measurement redundancy of the medium voltage distribution network. Then, this article draws on signal processing technology to update the covariance matrix of system state process noise in real-time and integrates it into the UKF algorithm to reduce the uncertainty of state prediction and measurement filtering, thus proposing a robust DSE method for medium voltage distribution networks based on the improved adaptive UKF algorithm. Finally, based on the constructed 15-buses medium voltage distribution network, simulation results show that the proposed method can effectively perform DSE on the medium voltage distribution network and obtain more accurate situational awareness information.

Key words: real time measurement, unscented kalman filter, medium voltage distribution network, dynamic state estimation

田钧祥, 陈铁, 陈彬. 基于改进自适应UKF算法的中压配电网鲁棒动态状态估计方法[J]. 中国电力, 2023, 56(11): 128-133.

Junxiang TIAN, Tie CHEN, Bin CHEN. Robust Dynamic State Estimation Method for Medium Voltage Distribution Networks Based on Improved Adaptive UKF Algorithm[J]. Electric Power, 2023, 56(11): 128-133.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305071

https://www.electricpower.com.cn/CN/Y2023/V56/I11/128

图/表 5

图 1 15节点中压配电网

Fig.1 15 buses medium voltage distribution network

图 2 96断面的节点电压幅值预测值的结果

Fig.2 Results of predicted voltage amplitude for 96 snapshots

图 3 96断面的节点电压幅值估计值的结果

Fig.3 Results of estimated voltage amplitude for 96 snapshots

图 4 电压幅值估计值的结果

Fig.4 Results of voltage amplitude estimation

图 5 电压相角估计值的RMSE结果

Fig.5 RMSE results of voltage phase angle estimation

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