摘要
随着相量测量单元(PMU)在配电网中的逐步部署,配电网动态状态估计逐渐成为智能配电网中的一个重要研究课题。为改进电力系统动态状态估计算法状态预测环节,通过负荷预测模型预测电力系统运行状况;将各节点负荷作为扩展状态变量,负荷预测结果作为新增量测,建立等式约束关系;在容积卡尔曼滤波(CKF)算法框架下,提出基于动态负荷预测的配电网动态状态估计方法。与直接对状态变量做线性外推的传统状态预测方法相比,所提算法更符合配电网动态特性变化规律。在IEEE119节点配电系统上的仿真分析,证明了算法的有效性。
With the gradual deployment of phasor measurement units(PMU)in distribution networks,dynamic state estimation of distribution networks has gradually become an important research topic in smart distribution networks.In this paper,the state prediction link of the power system dynamic state estimation algorithm is improved to the operation status of the power system through the load forecast model,using the load of each node as the extended state variable,and the load forecast result as the new measurement to establish the equation constraint relationship;using the framework of cubature Kalman filter(CKF)algorithm,a dynamic state estimation method of distribution network based on dynamic load forecasting is proposed.Compared with the traditional state prediction method that directly extrapolates the state var-iables,the algorithm proposed in this paper is more in line with the dynamic characteristics of the distribution network.The simulation analysis on the IEEE119-bus power distribution system proves the effectiveness of the algorithm.
作者
黄昭
潘敦辉
董丽澜
郭瑞鹏
HUANG Zhaoi;PAN Dun-hui;DONG Li-lan;GUO Rui-peng(College of Electrical Engineering,Zhejiang University,Hangzhou 310058,China;Hangzhou WR Power Science and Technology Co.,Ltd,Hangzhou 310027,China)
出处
《能源工程》
2021年第4期60-65,共6页
Energy Engineering
基金
国家重点研发计划项目(2017YFB0902800)。
关键词
同步相量测量装置
配电网
动态状态估计
动态负荷预测
容积卡尔曼滤波
phasor measurement unit(PMU)
distribution network dynamic state estimate
dynamic load prediction(DLP)
cubature kalman filter(CKF)
