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Intelligent planning method for electric automobile charging station

A technology of electric vehicles and intelligent planning, applied in the direction of circuit devices, AC network circuits, AC network load balancing, etc., to achieve the effect of good experience and high participation

Active Publication Date: 2018-09-04
JIANGSU ELECTRIC POWER CO
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Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies in the prior art and provide an intelligent planning method for electric vehicle charging stations, aiming to use the artificial bee colony algorithm to solve the multi-objective model optimization problem

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  • Intelligent planning method for electric automobile charging station
  • Intelligent planning method for electric automobile charging station
  • Intelligent planning method for electric automobile charging station

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Embodiment Construction

[0017] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0018] The basic idea of ​​the present invention is inspired by the fact that the bee colony cooperates with each other to complete the task of collecting honey through individual division of labor and information exchange. The minimal search model for bee colonies to realize swarm intelligence includes four elements: honey source, leading bee, follower bee and scout bee, and two basic behaviors of recruiting bees and giving up honey source. The search for honey sources by bees generally has the following three steps: 1) Leading bees discover honey sources and share information about honey sources; 2) Follower bees select honey sources according to the information of honey sources provided by leading bees; 3) The quality of honey sources found by leading bees through multiple searches When there is no improvement, the existing nectar source is abandoned and tra...

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Abstract

The invention provides an intelligent planning method for an electric automobile charging station, and the method employs an artificial bee colony algorithm for solving a multi-target model, and effectively irons out the defects that a multi-target model is poor in solving and calculation precision, is complex in operation, is large in number of control parameters, and is poor in robustness. The solving method has no requirements for a target function and constraints, hardly employs external information in a search process, just takes a fitness function as an evolving basis, and forms the artificial intelligent technology which takes generation + verification as the features. A solving result is a comprehensive optimal charging strategy, and provides a charging guide with the good experience and high participation degree for a power grid company and an electric automobile charging user.

Description

technical field [0001] The invention relates to an intelligent planning strategy for an electric vehicle charging station, belonging to the field of power system operation and control. Background technique [0002] In today's situation of energy shortage and prominent environmental problems, electric vehicles are developing vigorously because of their energy saving, emission reduction, green and environmental protection characteristics. After the large-scale application of electric vehicles, if the behavior of electric vehicle charging stations is not properly planned, it will have an impact on the safe and stable operation of the power grid, the smoothness of the transportation network, and the user experience. Therefore, it is necessary to study planning strategies for EV charging stations. The current research is mostly limited to single-objective optimization, but the comprehensive optimal objective model established by fuzzy decision-making method realizes the optimal ...

Claims

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Application Information

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IPC IPC(8): H02J3/32
CPCH02J3/32H02J2203/20
Inventor 陈铭沈海平缪立恒陈苏华崔国华张思德刘阳孙国强臧海祥刘志仁乔臻
Owner JIANGSU ELECTRIC POWER CO
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