Bilinearization-based all-distributed robust state estimation method for multi-regional power network

Abstract

The invention relates to a bilinearization-based all-distributed robust state estimation method for a multi-regional power network, and belongs to the fields of power system operation and control. The method is divided into three states: preprocessing a measurement to obtain pre-estimation of an intermediate state variable in the first stage; carrying out nonlinear conversion on the intermediate state variable in the second stage to obtain new measurements, namely a phase-angle difference between voltages at two ends of each branch and twice of the sum of logarithmic magnitudes of the voltages; and estimating the final state variable on the basis of these new measurements in the third stage. Through nonlinear conversion in the second stage, parallel solving can be carried out in various regions and communication with the other regions is not needed. State estimation in the first stage and the third stage is aimed at a linearized system; and each control region determines the local state quantity by communication of the local and a neighbor by an alternating direction multiplier method. The bilinearization-based all-distributed robust state estimation method provided by the invention is suitable for large-scale multi-regional state estimation, can well protect the data privacy of various regions and has very high agility, flexibility and robustness.

Description

technical field [0001] The invention belongs to the technical field of power system operation and control, in particular to a bilinearization-based fully distributed robust state estimation method for a multi-region power grid. Background technique [0002] The state estimation of the power system is to take the real-time measurement collected by the data acquisition and monitoring and control system as the data input source, and after removing the bad data, combine the power grid model, according to a specific state estimation model, to make an optimal estimation of the state quantity of the power grid. . State estimation plays an extremely important role in energy management systems and is an important cornerstone for a series of subsequent advanced applications; however, as the scale of the system increases, the existing centralized management systems will face the following challenges: [0003] (1) Mass information problem: The huge network scale is very likely to cause...

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Problems solved by technology

[0003] (1) Massive information problem: the huge network scale is very likely to cause communication congestion and information processing bottleneck;

[0004] (2) Maintainability issues: There are many interconnected areas and frequent changes, so it is difficult for the control center to maintain the global model of the entire power grid in real time;

[0005] (3) Privacy issues: Different control areas may belong to different operating entities. Due to commercial confidentiality, it is difficult for the control center to collect all information in each control area

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