Distribution network path optimization method based on improved condensation hierarchical clustering method

Abstract

The invention discloses a distribution network path optimization method based on a condensation hierarchical clustering method. Under the background of energy Internet, a large-scale renewable energysource can be connected into a power distribution network through various electric energy devices such as an electric energy router, and electric energy generated by the electric energy router is alsodistributed through the electric energy router. The path optimization of the distribution network containing a distributed energy source can effectively reduce the electric energy loss in the electric energy transmission process, meanwhile, the voltage distribution condition of the distribution network can be improved, and the node voltage deviation is effectively reduced. According to the distribution network path optimization method, through modeling and load flow calculation of the power distribution network containing the renewable energy source and the electric energy router, an improvedimmune clone algorithm based on aggregation hierarchical clustering is provided, so that an optimal power supply path is searched by taking the minimum total consumption value of active power and theminimum total deviation value of node voltage as targets.

Description

technical field [0001] The invention belongs to the power system technology, in particular to a distribution network path optimization method based on an improved agglomerative hierarchical clustering method. Background technique [0002] The distribution network oriented to the future energy Internet adds power routers on the original basis, which can better regulate renewable energy and various energy storage devices, and reasonably plan the power supply path of the distribution network, so that in the process of power transmission and distribution The loss is smaller. At the same time, through the access of the power router, the voltage level of each node can be effectively increased, the deviation of the node voltage can be reduced, and better power quality can be provided for power users. [0003] At present, the research on the power flow calculation of the distribution network with the power router mainly refers to the research method of the power electronic transform...

AI Technical Summary

Problems solved by technology

For the research of distribution network path optimization, the use of intelligent algorithms can improve the optimization efficiency, but due to the randomness of intelligent algorithms, the path solution may not be feasible. At present, there are existing studies that use neighborhood search to search for all feasible paths first. solution, and then assign the feasible solution set to the initial solution space of the immune cloning algorithm, but there is no guarantee that the path solution space obtained by subsequent operations is completely feasible

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