Power System Distributed State Estimation Based On Asynchronous Iteration Mode

Online analysis system is inseparable from the state estimation (SE).Only by state estimation processing, network parameters can be combined with the online real-time data to provide a ground-state calculation model for online analysis of advanced applications. The integration model of multiple control centers must also be established through the integrated state estimation. Because in the different control centers, the power grid node model which describes the operating state in detail belongs to the individual control center, and only in the own control center detailed real-time data network can easily get. Stitching and unifying treatment of the whole network model based on the node-level model will face problems such as a large amount of real-time data transfer and large system state estimation difficult convergence. Therefore, distributed state estimation approach would be a good choice between the multiple control centers.The integration of modeling and computation for safe operation of the interconnected system put an objective demand on the DSE.In order to overcome the shortcomings such as power mismatch in traditional two-level state estimation, providing a more accurate model for distributed computing applications such as dynamic power flow, a new DSE arithmetic based on asynchronous iteration mode is proposed. The algorithm constructs a fixed point iterative scheme for the state of boundary which based on the equivalent network equivalents measurement correction ideology, to achieve the basic distributed state estimation algorithm, In asynchronous iterative process, external network equivalent measurement data are forced into non-bad data for coordinated calculation, which solve the problem of bad data identification close to the network boundary region by borrowing external network measurements. The proposed methods are illustrated with the IEEE118-bus system, and the results verify the validity.