Method for calculating jacobian matrix of power system based on PMU measurement data

Abstract

The invention discloses a method for calculating a jacobian matrix of a power system based on PMU measurement data. The method comprises the steps of obtaining power grid topology data of the power system; acquiring real-time measurement data of the PMU on the power grid at each moment in a certain time period; establishing a bus net injection active power and phase increment matrix and a bus net injection reactive power and voltage increment matrix according to the acquired power grid topology data and the real-time measurement data of the PMU; and calculating a jacobian matrix according to the incremental matrixes of the power, the voltage and the phase. The jacobian matrix of the power system is calculated based on real-time measurement data of the PMU, the jacobian matrix required to be used when the power system performs safety analysis can be quickly and accurately calculated without depending on change of physical parameters of the power system, whether a line is overloaded and out of limit or not is analyzed and predicted on the basis, and safe operation of the power grid is ensured.

Description

technical field [0001] The invention belongs to the technical field of power system scheduling operation, and in particular relates to a method for calculating the Jacobian matrix of a power system based on PMU measurement data. Background technique [0002] Under steady-state conditions, the power system must comply with some basic requirements, such as supply must be equal to demand plus network losses; voltage must remain close to the rated value; and transmission lines must not be overloaded. For all this, trend analysis is an important tool. Because it provides the voltage and phase angle of each bus, as well as the net injected active and reactive power flow of each branch under the state of three-phase balance and stability. The problem of solving the power flow is usually through the Newton-Raphson iterative algorithm, while solving an equal number of unknowns through a set of nonlinear equations. The algorithm considers the linearization problem of the power flow ...

AI Technical Summary

Problems solved by technology

However, the mathematical model is likely to use incorrect data that is inaccurate

This could be due to erroneous out-of-date records, or due to erroneous data from remote monitoring, or due to unforeseen equipment failures

The traditional power system safety analysis method based on mathematical model calculation of power flow depends on the latest accurate power grid topology and corresponding parameters, and these parameters cannot be obtained in time especially after disturbance or fault, which makes its static and transient analysis The result is a large error or even unusable

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