Method for establishing cluster division double-layer model in combination with network reconstruction

Abstract

The invention relates to a method for establishing a cluster division double-layer model in combination with network reconstruction. The method comprises the steps of S1 acquiring power distribution network data, establishing a first-layer model, acquiring a time period division mode and calculating first-layer fitness f1; S2 dynamically reconstructing each divided time period based on a random spanning tree reconstruction method according to the time period division obtained in the step S1; S3 establishing a second-layer model according to the network topology of different time periods and the load characteristics of each moment obtained in the S2, obtaining an optimal cluster division result, and recording the corresponding optimal fitness f2max; and S4 returning to the first-layer model, updating the first-layer fitness according to the second-layer model fitness obtained in the S3, realizing the whole process through a double-layer nested genetic algorithm, and simultaneously obtaining an optimal dynamic reconstruction strategy and a cluster division scheme through repeated crossover variation and double-layer optimization. The established model can simultaneously obtain the optimal reconstruction strategy and cluster division mode in a research time period, and a basis is provided for realizing optimal planning or operation scheduling of a power system.

Description

technical field [0001] The present invention relates to the technical field of power system planning and operation, and more specifically, relates to a method for establishing a two-layer model of cluster division combined with network reconfiguration, which provides a basis for realizing optimal planning or operation scheduling of a power system. Background technique [0002] With the continuous deepening of research on distributed renewable energy generation and the encouragement of a series of favorable policies in China, my country's distributed power generation is showing a rapid development trend of regionalization and industrialization. Large-scale, clustered distributed power generation will be connected to the grid The key development direction in the future. Distributed photovoltaic generation (DPV), which has typical characteristics of intermittent and randomness, is connected to the distribution network on a large scale, which may have an impact on the safety, sta...

AI Technical Summary

Problems solved by technology

In reality, the distribution network that integrates various loads, DG, ESS, micro-grid systems, etc. is complex and time-varying. The traditional distribution network switch configuration scheme is no longer suitable for time-varying networks. The problem of distribution network reconfiguration under changing conditions is also of great significance to improve the economical and reliable operation of the distribution network.

As of now, there is no literature on the impact of dynamic refactoring on cluster partitioning

The difficulty lies in the fact that too many refactoring times will reduce the economy; too few refactoring times will reduce the real-time performance. In order to achieve a balance between the two, an appropriate model should be established

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