Power grid elastic modeling and quantitative evaluation method based on maximum flow

Abstract

The invention discloses a power grid elastic modeling and quantitative evaluation method based on maximum flow, and the method comprises the steps: introducing a maximum flow thought, comprehensively considering the vulnerability characteristics of an element and the structure characteristics of a system, and building a vulnerability model for measuring the damage caused by hurricane to a power distribution system in real time; on the other hand, the targets that the power supply recovery time of the system is shortest and the power supply quantity is increased fastest are comprehensively considered, the PERT/CPM algorithm is used for solving the optimal fault recovery sequence, the recovery performance of the system is evaluated according to the maximum flow value, and finally, the damage and repair process of the system under the hurricane attack is simulated by taking an IEEE-30 node network as an example. The feasibility and effectiveness of the method are verified, and the result shows that the method is favorable for identifying key elements of the system and enables the system to recover power supply in the shortest time.

Description

technical field [0001] The invention relates to the technical field of power grid operation, in particular to a method for modeling and quantitative evaluation of power grid elasticity based on maximum flow. Background technique [0002] Although the probability of extreme natural weather is low, it may seriously threaten the normal operation of the power system because of its strong destructiveness. With the increasing impact of human activities on nature, the meteorological department said that in the near future, the frequency and intensity of extreme weather will increase. At present, the power grid is based on the reliability criteria of "N-1" or "N-2 designed in, meaning that the system only needs to be designed with one or two components failing. The reliability analysis of the system generally only focuses on events with a high probability of occurrence but a relatively low degree of impact, ignoring the catastrophic consequences caused by low-probability events suc...

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Problems solved by technology

[0003] At present, when the power grid system is in operation, it is easily affected by severe weather such as hurricanes, which will cause damage to the lines and towers, resulting in changes in the power flow of the lines, which cannot guarantee the normal power transmission of the load; and the loss of elasticity is difficult to quantify and evaluation, which leads to the inability to formulate repair strategies according to the system operation performance in the repair stage. Establishing a framework that can quickly and reasonably evaluate power grid resilience can not only pre-estimate the damage of the actual power grid, but also provide support for the strengthening of the power grid. Therefore, it is necessary to design a grid resilience modeling and quantitative evaluation method based on maximum flow, simulate grid fault conditions, formulate and calculate resilience indicators, and establish a reasonable evaluation process

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