Intelligent power distribution network situation perception method Based on multivariate spatio-temporal information modeling

Abstract

The present invention discloses an intelligent power distribution network situation perception method Based on multivariate spatio-temporal information modeling. For the first time, a multivariate spatio-temporal information model is used in intelligent power distribution network situation perception which is also a development for the potential connection and inherent characteristics of a power grid so that the state information and measurement information of a power grid can be tapped deeply and effectively. At the same time, the node voltage amplitude with higher precision obtained from the modeling and the node voltage phase angle are taken as virtual measurement information which increases the measurement redundancy of a power distribution network, improves the convergence rate and the convergence precision of the state estimation of the power distribution network, shortens the state estimation time and provides the possibility for the on-line estimation of the intelligent power distribution network. Finally, the security and stability analysis of the real-time and future states of the power distribution network is carried out. The potential risks of the power distribution network are predicted in the future, which provides a reference for system scheduling and system decision-making.

Description

technical field [0001] The invention relates to an intelligent distribution network situation awareness method based on multivariate spatio-temporal information modeling, and belongs to the technical field of power system monitoring, analysis and control. Background technique [0002] With the development of the power grid and the advancement of related technologies, the scale of new energy power generation is increasing day by day, and the structure is becoming more and more complex, which brings a series of challenges to the safe and stable operation of the smart distribution network. In order to better build a smart distribution network, on the basis of the existing dispatching system, some experts and scholars have proposed an intelligent dispatching system architecture based on situation awareness (SA), in order to realize the monitoring of the operating status and status of the smart distribution network. Accurate grasp of development trends. The concept of situationa...

AI Technical Summary

Problems solved by technology

However, with the continuous expansion of new energy grid-connected scale, the uncertainty of distribution network operation has increased, and higher requirements have been put forward for distribution network scheduling.

Considering the current situation of low measurement redundancy in the distribution network and the significant impact of distributed power grid connection on the safe operation of the system, traditional state estimation is currently facing problems such as low estimation accuracy and poor convergence.

When the information obtained by the state estimation method is not comprehensive and accurate, it will cause delays or even errors in the response of the power grid dispatching center, and ultimately endanger the operation stability of the power system.

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