An Online Identification Method of Node Voltage Interaction Factors Based on Noise

A technology of mutual influence and node voltage, applied in electrical components, circuit devices, DC network circuit devices, etc., can solve the problems of difficult to achieve online real-time monitoring, cumbersome operation, etc., to reduce costs and improve prediction efficiency.

CN104332984BInactive Publication Date: 2016-08-17ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID NINGXIA ELECTRIC POWER COMPANY +1
5 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2016-08-17
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to an online identification method for node voltage interaction factors based on electric power system voltage noise-like signals, and belongs to the field of stability analysis and assessment of electric power systems. The method includes the steps: firstly, making application conditions and applicable objects of the voltage interaction factors clear; linearly simplifying systems and building a multi-send direct-current system node voltage sensitivity identification model; acquiring node voltage signals in the electric power systems, and performing filtering, amplitude limiting, detrending and the like for the signals to obtain node voltage noise-like signals; performing identification by the aid of a multiple linear gradual regression method to obtain interaction factors between direct-current circuit conversion bus voltages. The voltage interaction factors are mainly used for measuring interaction between direct-current systems among multiple direct-current systems based on a steady state process or a temporary steady state process. The method can be used for monitoring the interaction strength between the systems, a criterion is provided for local stability of the systems, the stable risk prediction efficiency of the electric power systems is effectively improved, and spot testing cost is reduced.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to an online identification method of noise-like node voltage mutual influence factors, belonging to the field of power system stability analysis and evaluation. Background technique

[0002] With the continuous construction of high-voltage DC projects in my country, there have been more AC-DC interconnected large power grids. For multi-DC systems, the locations are close, the electrical distance is close, and the DC systems have strong coupling characteristics. Compared with a pure AC system or a single DC system, the stability of a multi-DC system is not only related to the grid structure and control mode of the DC system, but also affected by other adjacent DC systems. The safety and stability of the entire AC-DC system has a great impact. Reasonable and effective evaluation of the interaction between multiple DC systems is of great significance for the preliminary planning and stable operation of the AC-DC large power grid in ...

Examples

Embodiment Construction

[0024] The online identification method of the noise-like node voltage mutual influence factor proposed by the present invention comprises the following steps:

[0025](1) Take the DC commutation busbar of the power system as the test node, and take the busbar with the connection impedance value between 0.1 and 0.5 per unit as the node to be identified, use the following method to obtain the test node and the Identify voltage-like noise signals at nodes:

[0026] (1~1) Use the phase measurement system of the DC converter station in the power system to collect the voltages of the test node and the node to be identified in the power system in real time respectively, and select the online movement of the sampling window and the real-time recursive algorithm to realize the real-time monitoring of segmented sampling, Set a rectangular sampling window with a width of Δt, from sampling time 0 to time Δt, after completing the sampling of the first period, conduct sensitivity identific...