随着电网规模的不断扩大，互联程度的日益加强以及同步相量测量装置的广泛应用，集中式状态估计和分布式静态状态估计方法很难满足实时性和准确性的需求，从而促进了电力系统分布式动态状态估计算法的发展，目前已成为系统工程领域的热门研究专题。本项目拟致力于如下方面的研究：(1) 利用非线性滤波技术、混和量测和邻居信息，设计电力系统分布式动态状态估计算法，并分析算法的稳定性；进一步利用新的方法在线辨识系统参数，提高状态估计精度，并加强算法的鲁棒性。(2) 针对存在关联噪声和邻居子系统之间状态关联的电力系统，设计分布式动态状态估计器和各子系统的次优状态预测器。(3) 进一步研究电力系统存在时滞、丢包和时钟不同步的分布式状态估计问题，并分析分区后的网络含有环的情况对算法估计精度的影响。预期结果不仅可以推动电力系统分布式动态状态估计理论的发展，而且将对电力工程实践中算法的设计和实施产生重要的指导意义。

With the growing size and the increasingly strengthened interconnection of power systems, and the widespread use of Phasor Measurement Units, the centralized state estimation and distributed static state estimation methods are difficult to satisfy the real-time and accuracy demand. Therefore, it promotes the development of distributed dynamic state estimation algorithms for power systems, which have become a hot subject in the field of systems engineering in recent years. This project will devote to the following work. (1) By using the nonlinear filters, hybrid measurements and the information transmitted from neighbors, a distributed dynamic state estimation algorithm for power systems will be designed, and the stability of the proposed algorithm will be analyzed. Furthermore, some new methods are used to identify model parameters on-line, improve the accuracy of state estimation and enhance the robustness of the proposed algorithm. (2) For power systems with cross-correlated noises and weakly coupled states among the neighboring subsystems, a distributed dynamic state estimator and a suboptimal state predictor for each subsystem will be investigated. (3) The distributed state estimation problem for power systems with delays, communication packet loss and asynchronism between the neighboring subsystems will be further studied. At the same time, we would investigate the case that the considered system can be partitioned as a cyclic network, and its effect on the estimation precision of the proposed algorithm. This research will not only promote the development of distributed dynamic state estimation theory for power systems, but also play a guiding role in the design and the implementation of algorithms for the electric engineering practice.