Optimal configuration method for electric automobile charging pile

A technology for electric vehicles and optimized configuration, applied in data processing applications, prediction, computing and other directions, can solve problems such as falling into local optimum, loss of population diversity, premature convergence, etc.

Active Publication Date: 2017-05-10
STATE GRID SHANXI ELECTRIC POWER
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Problems solved by technology

The particle swarm optimization algorithm adopted is an intelligent optimization algorithm based on social group behavior, which has fast search ability, but it often falls into local optimum due to the loss of population diversity and premature convergence in the later stage of evolution.

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  • Optimal configuration method for electric automobile charging pile
  • Optimal configuration method for electric automobile charging pile
  • Optimal configuration method for electric automobile charging pile

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Embodiment Construction

[0083] The present invention will be described in detail below in conjunction with specific drawings and specific embodiments. The invention establishes a mathematical model for optimal configuration of electric vehicle charging stations based on the bi-level programming theory. Based on the analysis of the behavioral characteristics of various types of electric vehicles, the Monte Carlo (Monte Carlo) simulation method is used to predict the charging power demand of the planning area; considering the constraints of the power grid, charging stations and investor budgets, the investment income and user perception of charging stations are established Utility bilevel programming model; introduce KKT conditions (Karush–Kuhn–Tucker Conditions Karush–Kuhn–Tucker Conditions) to achieve equivalent conversion of double single-level models, and use VNS-PSO (Variable Neighborhood Search-Particle SwarmOptimization variable neighborhood search-particle swarm optimization) hybrid algorithm f...

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Abstract

The invention discloses an optimal configuration method for an electric automobile charging pile. The method comprises the following steps: predicting the charging power demand of a planning area by a Monte Carlo simulation method on the basis of analysis of various electric automobile behavior characteristics; building a bi-level planning model of charging station investment profit and user perception effect under the consideration of constraint conditions such as a power grid, a charging station and an investor budget; and introducing a KKT (Karush-Kuhn-Tucker) condition to realize equivalent conversion of a double-layer model and a single-layer model, and solving by adopting a variable neighborhood search-particle swarm mixed algorithm with a convergence polymerization degree. Through adoption of the method, the problem of premature convergence of particles is avoided effectively; population diversity is increased; the optimization capacity of the particles and the convergence speed of the algorithm are improved and increased remarkably; the calculation speed and the calculation accuracy of optimal configuration of the charging station are increased; and important references are provided for investors to plan and build the charging station under an enterprise-dominant pattern.

Description

technical field [0001] The invention relates to the technical field of optimal configuration of electric vehicle charging stations, in particular to a method for optimal configuration of electric vehicle charging stations. Background technique [0002] In recent years, countries around the world have reached a consensus on strengthening the development and utilization of renewable energy under the dual pressure of energy crisis and environmental pollution. At present, as a green vehicle that can make full use of renewable energy to achieve energy conservation and environmental protection, electric vehicles have been rapidly developed and widely used in developed countries such as Europe, America, and Japan. Investors of enterprises under the enterprise-led model (such as Tesla, BYD, BAIC and other large automobile manufacturers) pay more attention to the investment income and comprehensive market competitiveness of electric vehicle charging stations. One of the key concerns...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 赵俊屹杨超颖薛志伟
Owner STATE GRID SHANXI ELECTRIC POWER
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