A Multi-section Joint Parameter Estimation Method Based on Topological Partition

Abstract

The invention discloses a topologic partition based multi-section joint parameter estimation method. A multi-section joint parameter estimation algorithm is utilized for parameter estimation, so that the estimation measurement redundancy of power grid parameters is increased, the influence of error measurement on the power grid parameters is reduced, and the parameter estimation precision is improved. According to the method, in view of the problem of high calculated amount of the multi-section joint parameter estimation algorithm, a power grid is first partitioned according to a topologic connection relation, and a partition based parameter estimation model is established, so that the parameter estimation calculation scale is reduced. According to the method, maintenance parameters of a dispatching system is estimated and calculated, and theoretical estimation values of error parameters in the system are pointed out, so that the operation and maintenance workload is greatly reduced and the management level of the power grid parameters is improved.

Description

technical field [0001] The invention belongs to the field of power system operation management, in particular to a method for estimating parameters of a power grid steady-state model. Background technique [0002] The maintenance of operating parameters of power grid equipment is an important task in automatic operation and maintenance. Since the test of grid steady-state parameters generally needs to be carried out in a power outage state, the workload is heavy and the working hours are long. At present, power companies generally do not test the parameters of all power grid equipment, so the parameters of a large part of the equipment adopt design parameters or typical parameters, and their accuracy cannot be effectively guaranteed. Even if there are actual measured parameters, there may be large errors in some test parameters due to human negligence in the test process or insufficient test principles. Parameter errors will seriously affect the analysis results of advanced...

AI Technical Summary

Problems solved by technology

In terms of theoretical research, the existing technology is optimistic about the parameter estimation model, and has insufficient consideration of the impact of the basic data quality of the power grid, and cannot deal with the problem of mixed measurement errors and parameter errors. Measuring Numerical Instability Effects

The parameter estimation results have changed a lot in a period of time, the actual application effect is not ideal, and the disconnection between theoretical research and practice is obvious. Therefore, the tentative parameter correction method often used in actual maintenance has insufficient theoretical basis and poor cross-section adaptability.

[0004] For the parameter estimation problem, if the parameter vector is directly added to the state estimation problem as an augmented state quantity, the parameter estimation problem increases the dimension of the state vector without changing the number of measurements, resulting in a lower measurement redundancy

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