Data-driven electric energy quality monitoring stationing optimization method and device

Abstract

The invention discloses a data-driven electric energy quality monitoring stationing optimization method and device. The method comprises the following steps: acquiring electric energy quality monitoring data of a to-be-evaluated regional power grid node; based on a sample size estimation principle, determining an optimal monitoring distribution point number according to a statistical characteristic value of the power quality monitoring data; on the basis of a hierarchical modeling method, constructing an optimization target model according to the optimal monitoring point distribution number, the power grid node attributes and a preset power quality management and control demand; based on the optimization target model, carrying out global optimization solution by adopting an improved genetic algorithm to obtain a Pareto solution set; and determining an optimal monitoring distribution point according to the Pareto solution set and a preset scene deviation weight matrix. According to the method, the monitoring optimization distribution points are updated based on the existing monitoring data drive. The demand of updating the monitoring distribution point increment based on monitoring data driving is realized; and in addition, the improved genetic algorithm is adopted, the monitoring stationing optimization architecture is met, meanwhile, the sample space of the solution set is reduced, and the optimization calculation efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of power system analysis, in particular to a data-driven power quality monitoring distribution optimization method and device. Background technique [0002] With the rapid development of China's economy, the scale of power system nodes is rapidly expanding, and a large number of nonlinear and fluctuating loads are connected to the power grid. Power quality problems such as high and low voltages, harmonics, imbalances, and voltage sags are becoming more and more serious and complicated. In order to discover, analyze and solve the power quality problems existing in the power grid in time, power companies have generally built power quality monitoring systems. However, the monitoring points of the current power quality monitoring system are usually laid out based on human experience, and the target of the point layout is single. Generally, they are only set at the load of the source of interference or important ...

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Problems solved by technology

[0005] In view of this, the embodiments of the present invention provide a data-driven power quality monitoring distribution optimization method and device to solve the technical problem of difficulty and uncertainty in prior art when using power grid parameters to optimize monitoring distribution points

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