Power system risk assessment acceleration method based on multi-parameter linear programming

Abstract

A method for accelerating risk assessment of an electric power system based on multi-parameter linear programming is disclosed. The method comprises a load-cutting minimum optimization model corresponding to the operation state of electric power system and a corresponding multi-parameter linear programming model are established; a line status dictionary set is established; aiming at a sampled power system running state, the key judgment region set in the corresponding line state dictionary set element is retrieved and matched; if the matching is not successful, the optimization software is used to solve the corresponding optimization model with the minimum load shedding loss, and a new key judgment area is established by using the solution results; if the matching is successful, the load loss of each node corresponding to the running state is directly calculated by using the characteristic information of the corresponding key discrimination area. The method improves the efficiency of power system risk assessment, improves the speed of power grid risk assessment, and provides decision-making reference and support for power grid planners and operators.

Description

technical field [0001] The invention relates to the technical field of power system analysis, in particular to an acceleration method for power system risk assessment based on multi-parameter linear programming. Background technique [0002] There is a great deal of uncertainty in today's power systems. The accumulation and interaction of these uncertainties make the real-time operation of the power system at risk. For example, there is a probability of generator outage in a power plant, which may lead to insufficient power generation capacity of the entire system, resulting in a forced outage; there is a probability of the transmission line being out of operation, which will cause power flow transfer in the entire system and affect the power transmission distribution. The load demand cannot be met; the interaction of various uncertainties is more likely to lead to major accidents. [0003] Therefore, it is necessary to carry out risk assessment on the power system, that i...

AI Technical Summary

Problems solved by technology

Some methods based on machine learning techniques such as artificial neural networks and support vector machines have been proposed, but they are all based on the fact that the system branches (transmission lines, cables, transformers, and transmission equipment connecting two buses are all defined as "branches") are not The assumption that it would quit running is not true

[0005] Therefore, it is hoped that there is an accelerated method for power system risk assessment to solve the problem of low calculation efficiency of power system risk assessment methods in the prior art

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