基于动态分区和多估计准则的电力系统自适应鲁棒状态估计

随着当前智能电网技术的高速发展,电力系统的组成和运行方式愈发复杂,对状态估计的鲁棒性和实时性也产生了更高的需求.为此,提出一种基于动态分区和多估计准则的电力系统自适应鲁棒状态估计.通过模糊c均值聚类筛选出系统中的可疑量测集,进而根据可疑量测的空间分布实现系统动态分区.考虑到不同估计器各自的特点和适应性,针对可疑量测区域...

Adaptive Robust State Estimation for Power System Based on Dynamic Partitioning and Multiple Estimation Criteria

With the rapid development of current smart grid technology, the composition and operation mode of power systems are becoming more and more complex, and higher demand for the robustness and real-time performance of the state estimation is also generated. An adaptive robust state estimation based on dynamic partitioning and multiple estimation criteria is proposed. It screens out the suspicious measurement by fuzzy c-means clustering, and then realizes the dynamic partition of the system according to the location of suspicious measurement. Considering the characteristics and adaptability of different estimators, different estimation criteria are adaptively selected for the suspicious and normal measurement regions to ensure the estimation accuracy and the calculation efficiency at the same time. In order to ensure the consistency of the boundary bus information and the power flow of the tie line, the boundary coordination information is introduced as equality constraints and solved by alternating direction method of multipliers. Numerical simulations in IEEE systems show that the proposed method has ideal estimation accuracy and robustness, and its estimation efficiency is significantly improved compared with weighted least absolute value estimation.