Power grid multiple major failure recognition method based on a linear weighting method

Abstract

A power grid multiple major failure recognition method based on a linear weighting method comprises the steps as follows: establishing an electrical power system graph theory model and a Laplacian matrix corresponding to the electrical power system graph theory model according to a topological connection relation; establishing a node active power matrix according to a node property and size of an active power; establishing multiple major failure objective function by using the linear weighting method; calculating product of a generalized inverse matrix of the Laplacian matrix and the node active power matrix; establishing a failure preliminary screening matrix according to a vector corresponding to an exact solution; calculating fault component number corresponding to each column vector in the failure preliminary screening matrix; determining weight coefficient in the objective function according to concern extent of an operating crew and screening the column vector which enables the objective function to obtain a minimum value. The power grid multiple major failure recognition method based on the linear weighting method of the invention has important guiding significance for formulating effective prevention and control measures and solving a column control strategy to recognize the multiple major failure.

Description

technical field [0001] The invention belongs to the technical field of power system safety analysis and on-line monitoring, in particular to a method for identifying multiple severe faults in a power grid based on a linear weighting method. Background technique [0002] In the actual operation of the power system, it is necessary to identify the faults that seriously affect the safe operation of the system in advance, so as to formulate corresponding preventive and control measures, so as to prevent the occurrence of large-scale power outages. Failures include single element failures, dual element failures or multiple element failures. The modern power system is a large-scale complex network, and the expected number of faults is very large. Most methods only consider single faults or a few double faults. However, many power outages in recent years have shown that the hazards of high-risk multiple faults cannot be ignored. For faults with three or more fault components, exi...

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Problems solved by technology

For faults with three or more fault components, existing methods usually adopt the idea of ​​multiple single faults, starting from the most serious single fault, and searching for the most serious fault of the next level, since a combined problem is artificially Divided into multi-layer search problems, it is easy to ignore the optimal combination of multiple components, and there is currently a lack of systematic and effective identification methods

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