Memory-based online data integration method

Abstract

The invention provides a memory-based online data integration method. Effects of exactly and quickly judging the state of a power supply system under a specific fault, meeting the stability analysis of an intelligent power grid scheduling technique supporting system and online dynamic safety estimation on the power supply system, and obtaining practical data capable of being applied to load flow calculation of a large power supply system can be realized by quickly and effectively reading online / offline data and reading in a server in a certain form. According to the memory-based online data integration method disclosed by the invention, a problem that a complex power supply system can not model and analyze when a running state of the complex power supply system has large change such as catastrophe at a trend of large power grid interconnection is solved.

Description

technical field [0001] The invention belongs to the field of power system simulation and calculation analysis, and specifically relates to an online data integration method based on memory. Background technique [0002] The power flow calculation of the traditional power system is based on offline data, and the system model is established for analysis and calculation. Under the application of a large number of safety automatic devices, the transient stability and dynamic stability problems of the power system are solved to a certain extent. But at the same time, it also brings the complexity and diversification of the system. With the trend of interconnection of large power grids, it is almost impossible to model and analyze the complex power system based on the original offline data when the operation status changes greatly, such as a catastrophe. There is an urgent need to use a new method to perform calculations and automatically model and analyze the entire network. ...

AI Technical Summary

Problems solved by technology

However, due to the increase of the scale of the power grid and the increase of safety devices, the existing online integrated power flow calculation method cannot quickly read the key effective data from the online and offline data, which makes the power system analysis inefficient; and the existing online data Due to the inconsistency in space and time with offline data, there are redundant coupling parts. It is necessary to integrate offline models and data with inconsistency in time and space with online data; moreover, in the grid interconnection mode, online dynamic security assessment needs to be fast and accurate Real-time monitoring and early warning applications are used for the power system to analyze the operation status of the power system accurately. However, the existing power flow calculation method needs to manually match the power flow boundary, which does not meet the requirements of power system stability and reliability.

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