Electric power system dynamic state estimation method based on synchronous phase-angle measuring device

Abstract

The invention relates to the technical field of electric power system operation and control and discloses an electric power system dynamic state estimation method based on a synchronous phase-angle measuring device. According to the technical scheme, the method comprises the steps of A, reading current network parameters of an electric power system and a network topological structure of the electric power system, and therefore forming a node admittance matrix and a branch-node incidence matrix; B, establishing an equivalent circuit according to the network topological structure of the electric power system, and configuring a measurement function of the electric power system and a PMU of the electric power system, wherein the measurement of the system comprises node voltage amplitude measurement, node current amplitude measurement, node power injection measurement and node load flow measurement; C, conducting dynamic state estimation on the system on the basis of extended Kalman filtering; D, judging conditions of convergence. According to the electric power system dynamic state estimation method based on the synchronous phase-angle measuring device, due to the introduction of the PMU, real-time and accurate measurement information such as the voltage and the phase angel can be supplied to the system, the higher measurement redundancy rate of the system is obtained, and therefore the precision of the state estimation is improved. The electric power system dynamic state estimation method based on the synchronous phase-angle measuring device has the advantages of being good in robustness, high in state estimation precision and good in convergence performance.

Description

technical field [0001] The invention relates to power system operation and control technology, in particular to a robust power system dynamic state estimation method based on a synchronous phase angle measurement device (PMU). Background technique [0002] The power system state estimation is an important part of the energy management system and the online decision-making stability control system. Its main function is to obtain the best estimate of the current state of the system from the telemetry data containing errors, and provide power grid for the power system to realize online analysis and control functions. Real-time working conditions. With the continuous expansion of the scale of the interconnected grid, the initial formation of the energy allocation pattern, coupled with the steady advancement of the reform of the power market and the continuous development of new energy sources, the structure of China's power grid has become increasingly large and the operation mo...

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Problems solved by technology

[0004] On the other hand, among the current power system state estimation methods, the research on static state estimation is the most, and the research on power system dynamic state estimation is becoming a hot spot. However, most current power system dynamic state estimation methods consider using Kalman filter or Kalman filter The improved form of the method does not effectively solve the problems of nonlinear measurement function, large amount of measurement data, and poor robustness of power system state estimation.

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