Transforming plant distributed state estimation method based on Kirchhoff's current law

Abstract

The invention relates to a substation distribution-typed state estimation method based on a Kirchhoff current law, belonging to the field of running and control technology of the power system. The method comprises the steps as follows: firstly, measurement and collection are carried out; subsequently, zero impedance current state estimation is carried out to the collected current value; and then according to the current estimation value, the identification of the analog quantity bad data and topology error identification are respectively carried out; the quantity measurement after the bad data is deleted is used for carrying out the zero impedance current state estimation; and after the topology analysis, the zero impedance voltage state estimation is carried out to the obtained bus model. The method has the advantages of reliable and quick calculation, providing the estimation solution of complex current and complex voltage of the substation for a control center, leading the state estimation of the control center not to need to find the topology error and the bad data or to be iterated, and achieving the objects of reliable calculation results, high calculation efficiency, high robust, strong self-curing, reducing the working quantity of system maintenance, and the like.

Description

technical field [0001] The invention relates to a distributed state estimation method of a substation based on Kirchhoff's current law, belonging to the technical field of power system operation and control. Background technique [0002] Energy management system (Energy management system, hereinafter referred to as EMS) is a computer-based dispatch automation system for modern power systems. Its task is to collect, monitor, analyze, optimize and control decisions in real time for power systems. Power system state estimation is the foundation and core link of EMS. State estimation uses real-time measurement information collected from the power system to eliminate error information and calculate complete, consistent and credible real-time variables of the power system to ensure EMS control decision-making. correctness. [0003] State estimation is the basis of power grid operation and control. The traditional state estimation is implemented in the power control center. The ma...

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Problems solved by technology

[0003] State estimation is the basis of power grid operation and control. The traditional state estimation is implemented in the power control center. The main problems are (1) not reliable enough: the state estimation is unavailable due to topology errors, nonlinear iterative divergence and large errors, which has become a worldwide The number one problem in the application of state estimation within the range; (2) not fast enough: the computational efficiency of existing state estimation can no longer meet the needs of dynamic monitoring of large power grids, especially for large-scale power grids; (3) fragile: traditional state estimation uses Centralized modeling, using the global goal of a large power grid, local problems will lead to global problems; (4) Poor self-healing ability: due to the large scale of the power grid, once the state estimation goes wrong, manual diagnosis and repair are very difficult, and it is difficult to repair in a short time ; (5) Heavy maintenance workload: maintenance status estimation has become a big burden on the control center at present, the maintenance error rate is high, and maintenance is not timely

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