Cooperative optimization configuration method and system for new energy power distribution network multi-type active and reactive sources

Abstract

The invention discloses a cooperative optimization configuration method for new energy power distribution network multi-type active and reactive sources. The changes of wind speed, illumination and load caused by seasonal change are taken into account by fitting the influences of EV charging and discharging on a power distribution network, and the relevance of the changes of wind speed, illumination and load is taken into account, so that an optimization configuration scheme is more close to actual conditions, a two-layer optimization configuration model for embedding a chance constraint plan is established, and the safety and economical efficiency of system optimization configuration are taken into account; and finally, the visual ranges and moving step lengths of different artificial fish in the same generation are adaptively adjusted through the food concentration of positions where the artificial fish is currently by adopting a two-layer nested adaptive artificial fish school algorithm, the defects of slow later constriction and low constriction precision caused by the fact that the visual ranges and moving step lengths are fixed values, so that the optimization configuration scheme is of more reference. The invention also discloses a cooperative optimization configuration system for new energy power distribution network multi-type active and reactive sources, and the system has the above beneficial effects.

Description

technical field [0001] The invention relates to the field of electrical technology, in particular to a method and system for collaborative optimization configuration of multiple types of active and reactive sources in a new energy distribution network. Background technique [0002] Distributed generation (distributed generation, DG) has attracted more and more attention due to its advantages of environmental protection and energy saving, reducing network loss, and improving power supply reliability. On the one hand, DG can alleviate the current economic development that relies heavily on fossil fuels, and to a certain extent reduce the threat of fossil fuel depletion to economic development; on the other hand, DG can reduce the greenhouse gases and sulfides released by the burning of fossil fuels , nitrogen oxides and other polluting gases. [0003] Intermittent distributed power generation represented by photovoltaic power generation and wind power generation is greatly af...

AI Technical Summary

Problems solved by technology

After electric vehicles are connected to the distribution network on a large scale, their charging and discharging will have a huge impact on the operation of the distribution network.

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