基于局部信息融合和估计投影法的多区域电力系统状态估计

发布时间：2018-01-20 15:45

本文关键词： 互联电网状态估计局部信息融合估计投影法　出处：《电工技术学报》2017年01期 　论文类型：期刊论文

【摘要】：在多区域互联电力系统中,由于状态变量维数高和大量量测数据处理等问题,集中式估计的实现变得困难。提出一种基于局部信息融合和估计投影法的多区域电力系统状态估计新算法。首先,各区域独立运行加权最小二乘迭代得到本地估计值,并将协调中心边界状态估计值及对应的协方差子矩阵发送至协调中心;得到各区域边界信息后,协调中心采用最小二乘信息融合算法对系统边界状态作协调估计,并返回边界协调估计值至各区域;最后,根据边界协调估计值,各区域通过估计投影法对其内部状态作修正。该方法适应于全系统有/无相量测量单元(PMU)的情况,且所需通信量少,易于实现。算例仿真结果表明,所提算法具有良好的估计精度和实时性。
[Abstract]:In multi-area interconnected power systems, due to the high dimension of state variables and a large number of measurement data processing and other problems. The implementation of centralized estimation becomes difficult. A new state estimation algorithm for multi-area power systems based on local information fusion and estimation projection method is proposed. The local estimates are obtained by using the weighted least square iteration independently for each region, and the corresponding covariance submatrix and the boundary state estimation of the coordination center are sent to the coordination center. After getting the boundary information of each region, the coordination center uses the least square information fusion algorithm to estimate the boundary state of the system, and returns the boundary coordination estimate to each region. Finally, according to the boundary coordination estimation, each region modifies its internal state by estimating the projection method, which is suitable for the whole system with / without phasor measurement unit (PMU) and requires less communication. The simulation results show that the proposed algorithm has good estimation accuracy and real-time performance.
【作者单位】：华南理工大学电力学院;
【基金】：国家自然科学基金(51177049) 国家优秀青年科学基金(51322702)资助项目
【分类号】：TM711
【正文快照】： 0引言对于高维复杂的多区域互联电力系统,集中式状态估计算法存在计算速度慢、大量量测数据处理繁杂和数值稳定性等问题[1-3],实现起来相当困难。分布式状态估计算法是解决集中式估计不足的一个有效途径,相比集中式估计具有较好的实时性与可操作性。现有分布式状态估计算法按

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