Line loss data processing method and device based on combined empowerment TOPSIS, and medium

Abstract

The invention provides a line loss data processing method and device based on combined empowerment TOPSIS, and a medium. The method comprises the following steps: establishing a line loss comprehensive calculation index system; according to the determined comprehensive calculation index system, collecting data of network line loss of the regional power distribution network from the power distribution network; calculating a first weight of each index by using an improved analytic hierarchy process according to the comprehensive calculation index system; calculating a second weight of each index based on the acquired data of the network line loss of the regional power distribution network by using an entropy weight method; combining the first weight and the second weight of each index to obtain a combined weight of each index; and obtaining a comprehensive calculation result by using a TOPSIS method according to the combined weight of each index and the acquired data of the line loss of the regional power distribution network, and controlling a power grid operation system to reduce the line loss of the power grid in the region. A comprehensive calculation result is calculated by using the combined weight of each index and the collected regional power distribution network line loss data, so that the line loss estimation is more accurate and objective.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a line loss data processing method, device and medium based on combined weighting TOPSIS. Background technique [0002] In the prior art, the evaluation method of line loss management level in provinces and cities usually takes the comprehensive line loss rate as the evaluation standard, or combines the comprehensive line loss rate with partial voltage line loss rate and lossy line loss rate. evaluation standard. However, the current line loss management of power grid companies is aimed at fine management, and the traditional evaluation methods can no longer meet the requirements, that is, it is impossible to find the objective factors that affect line loss. [0003] In the prior art, one of the main methods is the Analytic Hierarchy Process: the traditional multi-dimensional index evaluation method usually uses the Analytic Hierarchy Process for comprehensive evaluation...

AI Technical Summary

Problems solved by technology

The entropy value can be used to judge the degree of dispersion of an index. The smaller the information entropy value, the greater the degree of dispersion of the index, and the greater the impact (ie weight) of the index on the comprehensive evaluation. If the values ​​of an index are all equal , then this index will not play a role in the comprehensive evaluation, resulting in inaccurate evaluation calculation

[0005] It can be seen that in the existing technology, the calculation of the line loss of the power grid is not objective and accurate enough, which affects the control accuracy of the power grid system.

Images