Distributed power distribution network optimization reconstruction method

Abstract

The invention provides a distributed power distribution network optimization reconstruction method. The method comprises the steps of building a reactive power optimization power distribution network multi-objective optimization reconstruction model, and obtaining the switching action frequency; dynamically monitoring the power supply and load change trend of the power distribution network on the premise of meeting the constraint of the switching action frequency; dynamically monitoring the uncertainty of the power supply and the load of the power distribution network on the premise of meeting the constraint of the switching action frequency; and dynamically adjusting the topological structure of the power distribution network by dynamically monitoring the power supply and load change trend and uncertainty of the power distribution network. Through the power distribution network optimization reconstruction method, guidance suggestions can be provided for reactive power optimization and voltage monitoring of the power distribution network, stable operation between lines, optimization of a topological structure of the power distribution network and rapid positioning of faults of the power distribution network, multi-objective optimization of power distribution network reconstruction is realized, and the power supply reliability of the power distribution network is effectively guaranteed.

Description

technical field [0001] The invention relates to the technical field of distribution network optimization, in particular to a distributed distribution network optimization and reconstruction method. Background technique [0002] The distribution network is composed of overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensators, and some auxiliary facilities. In the current actual distribution network reconstruction process, there are many switch decision variables. Strict mathematical The model belongs to nonlinear non-convex programming, which is a non-deterministic polynomial problem. Problems such as distribution network reconfiguration and fault location are currently solved by multi-application group intelligent optimization algorithms, but a large number of infeasible solutions that do not satisfy the network topology constraints are easily generated during the optimization process. The voltage and topology will change, re...

AI Technical Summary

Problems solved by technology

Problems such as distribution network reconfiguration and fault location are currently solved by multi-application group intelligent optimization algorithms, but a large number of infeasible solutions that do not satisfy the network topology constraints are likely to be generated during the optimization process. The voltage and topology will change, resulting in insufficient power supply voltage of the distribution network, which cannot effectively guarantee the power supply security of the distribution network

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