Power distribution network multi-target coordination planning method considering charging station

Abstract

The invention discloses a power distribution network multi-target coordination planning method considering a charging station. The method includes steps of extracting basic power parameter information of a power distribution network initial grid structure, a charging machine and a charging pile, data information of a typical daily load characteristic curve and typical daily traffic flow and the like, and information of coupling node pairs of a power distribution network and a traffic network; obtaining a charging station optimization configuration candidate scheme considering traffic flow information; establishing a power distribution network multi-target coordination planning model considering the charging station optimization configuration; designing a multi-phase solution strategy and obtaining a final power distribution network planning scheme considering the charging station. By adopting the technology provided by the invention, double network coordination planning of the traffic network and the power distribution network in geographic strong correlation coupling considering the traffic flow and power load flows can be realized and a reference can be provided better for a power distribution network development and planning department.

Description

technical field [0001] The invention relates to a multi-objective collaborative planning method for a distribution network considering a charging station, and belongs to the field of distribution network planning. Background technique [0002] Compared with traditional power load control, mobile charging load represented by electric vehicles is easily affected by factors such as traffic flow and individual user behavior, and has obvious randomness and mobility. Large-scale access to the system will inevitably increase power distribution. Uncertainty in system operation will also make the relationship between goals and constraints more complicated in research modeling. How to realize the coordinated planning of distribution network and transportation network with strong correlation and coupling in geographical space on the basis of adapting to different user behaviors has become a research difficulty in distribution network planning and optimization. Therefore, on the basis ...

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Problems solved by technology

[0002] Compared with traditional power load control, mobile charging load represented by electric vehicles is easily affected by factors such as traffic flow and individual user behavior, and has obvious randomness and mobility. Large-scale access to the system will inevitably increase power distribution. Uncertainty in system operation will also make the relationship between goals and constraints more complicated in research modeling

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