Layered cooperative control and dynamic decision-making method for large-scale power transmission network frame restoration

Abstract

The invention discloses a layered cooperative control and dynamic decision-making method for large-scale power transmission network frame restoration. The method comprises steps as follows: step one, a power transmission network frame is divided into a main network frame layer and a regional layer which are connected through power receiving points, and the power receiving points have attributes of load and a power supply in the main network frame layer and the regional layer respectively; step two, index values of the power receiving points are determined; step three, a commitment and agreement based restoration cooperative mechanism is established, and commitment values of the power receiving points are updated according to system state change; step four, the restoration optimization of the main network frame layer and the regional layer is taken as a lower-level problem, optimization of the commitment values of the power receiving points is taken as an upper-level problem, a bi-level planning power transmission network frame restoration decision-making model is established and solved, and an integral decision-making method is obtained. The problem about coordination and cooperation of all-level and all-region scheduling in response to layered and divisional multi-process restoration is solved, independent parallel restoration of subprocesses can be realized, the operation safety is guaranteed, and the restoration efficiency is improved.

Description

technical field [0001] The invention relates to the related technical fields of power system operation scheduling, recovery control and optimization decision-making, in particular to a layered collaborative control and dynamic decision-making method for large-scale transmission grid recovery. Background technique [0002] Extreme weather disasters, equipment misuse, hacker intrusions, and terrorist attacks may all induce large-scale cascading power outages on the power grid, causing major social impacts. With the interconnection of power grids, the increasing diversification of power supply structures, the increase in extreme weather, and the increasingly rampant terrorist activities and other external factors, the risk of large-scale power outages caused by local failures is increasing year by year. As an important part of the power grid security defense system, building a complete and efficient power grid emergency response mechanism, improving power grid recovery capabili...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the above problems, to provide a layered collaborative control and dynamic decision-making method for the recovery of large-scale transmission grids, which solves the coordination and coordination between dispatching at all levels and regions when dealing with multi-process recovery in layers and partitions. Cooperating with the problem, each sub-process can be recovered independently and in parallel, and the operation security is ensured, and the recovery efficiency is improved; the problem of low flexibility and low calculation efficiency in recovery decision-making is solved, and the scale of problem solving is reduced while realizing Dynamic decision-making based on online scenarios

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