Power distribution network two-stage reconstruction method and device based on ordered optimization algorithm

Abstract

The invention provides a power distribution network two-stage reconstruction method and device based on an ordered optimization algorithm, and relates to the field of electric power. The method comprises the following steps: obtaining load data in a future time period; carrying out load clustering on the load data in the future time period and constructing a static reconstruction model of a powerdistribution network; obtaining an optimal solution corresponding to each clustering center; within the future period of time, carrying out short-time prediction of load data on the power distributionnetwork; with the dissimilarity degree as an index, calculating the dissimilarity degree between the short-time prediction load data and the load data of the C clustering centers; determining the static reconstruction model corresponding to the clustering center with the minimum dissimilarity degree as a power distribution network reconstruction result in a first preset time period; and reconstructing the power distribution network according to the result. According to the method, the network loss after dynamic reconstruction of the power distribution network in actual operation is minimized,the reconstruction calculation amount is small, the operation is simple, the reconstruction calculation time is short, the dynamic change load can be well adapted, and the method has high practical value.

Description

technical field [0001] The invention relates to the field of electric power, in particular to a method and device for two-level reconfiguration of a distribution network based on an ordered optimization algorithm. Background technique [0002] Distribution network reconfiguration is to achieve the purpose of distribution network optimization by changing the state of section switches and tie switches in the distribution network to control the network topology of the distribution network. Distribution network reconfiguration can generally be divided into static reconfiguration based on a certain point in time and dynamic reconfiguration based on a time interval (usually one day). Intermittent power sources such as photovoltaics and wind power have obvious time-varying and uncertainties, and the time-varying load makes the dynamic reconfiguration more complicated. [0003] At present, most of the research on dynamic reconfiguration of distribution network is based on the optim...

AI Technical Summary

Problems solved by technology

However, in actual operation, the real-time values ​​of loads and distributed power sources (intermittent power sources such as photovoltaics and wind power) will be quite different from the predicted values.

[0004] This will lead to the fact that the dynamic reconfiguration of the distribution network is not optimal in actual operation. Either the network loss of the distribution network is high, or the calculation of the optimal reconfiguration takes a long time, which cannot well adapt to the dynamic changes. load

Images