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Electric vehicle charging strategy optimization method based on QPSO algorithm

A technology of electric vehicles and charging strategies, applied in the direction of electric vehicle charging technology, electric vehicles, charging stations, etc., to achieve the effect of improving the photovoltaic on-site consumption capacity and reducing the impact on the power grid

Inactive Publication Date: 2021-06-01
STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD ELECTRIC POWER RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of this invention is to solve the problem of on-site consumption of photovoltaic power generation systems through centralized charging of electric vehicles, and at the same time reduce the threat of centralized charging of electric vehicles to the safe operation of the power grid. Therefore, an electric vehicle based on QPSO algorithm is proposed. Optimization method of vehicle charging strategy

Method used

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  • Electric vehicle charging strategy optimization method based on QPSO algorithm
  • Electric vehicle charging strategy optimization method based on QPSO algorithm
  • Electric vehicle charging strategy optimization method based on QPSO algorithm

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specific Embodiment approach 1

[0017] Specific implementation mode one: combine figure 1 To illustrate this embodiment, a QPSO algorithm-based electric vehicle charging strategy optimization method described in this embodiment includes the following steps:

[0018] Step 1. Establish a microgrid model for electric vehicle charging;

[0019] Step 2. Define the optimization objective function of the microgrid model;

[0020] Step 3. According to the optimization objective function defined in step 2, the electric vehicle charging strategy is obtained;

[0021] Step 4, based on the QPSO algorithm, optimize the electric vehicle charging strategy obtained in step 3.

specific Embodiment approach 2

[0022] Specific implementation mode two: combination figure 2 Describe this embodiment. This embodiment is to further limit the charging strategy optimization method for electric vehicles based on the QPSO algorithm described in the first specific embodiment. In this embodiment, the microgrid model in step 1 includes energy storage systems, photovoltaic Power generation system, grid connection system, energy management system and electric vehicle charging system.

[0023] In this embodiment, a microgrid model including a photovoltaic power generation system, an energy storage system, a grid-connected system, an energy management system, and an electric vehicle charging system is established; among them, the electric vehicle charging system is: a company that provides pick-up and drop-off services for employees of the enterprise Commuter electric vehicles; the battery capacity of commuter electric vehicles is 160kW·h, and the company’s working hours are from 8:30 to 16:30. Acco...

specific Embodiment approach 3

[0024] Specific embodiment three: this embodiment is to further limit the QPSO algorithm-based electric vehicle charging strategy optimization method described in specific embodiment two. In this embodiment, the optimization objective function in step two includes: electric vehicle charging Price and the proportion of electricity provided by photovoltaic power generation system in the total electricity consumed by electric vehicle charging system.

[0025] In this embodiment, when the charging power of the electric vehicle is constant, the relationship between the charging time and the charging power is shown in the formula:

[0026]

[0027] In the formula, T EV_cha Charging time for electric vehicles for commuting, SOC EV_0 is the initial state of charge of the electric vehicle (take 15% in this implementation), SOC EV_end The state of charge of the battery at the end of charging the electric vehicle, P ch Charging power for electric vehicles, W EV is the electric veh...

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Abstract

The invention discloses an electric vehicle charging strategy optimization method based on a QPSO algorithm, relates to an electric vehicle charging strategy optimization technology, and aims to solve the problem that centralized charging and quick charging of electric vehicles are uncertain and threaten the safe operation of a power grid. Meanwhile, by charging the electric vehicle, the problem of photovoltaic local consumption is solved. The method comprises the following steps: establishing a micro-grid model for electric vehicle charging; defining an optimization objective function of the micro-grid model; obtaining an electric vehicle charging strategy according to the defined optimization objective function; and optimizing the electric vehicle charging strategy based on the QPSO algorithm. The method has the advantages that a more reasonable charging strategy is made for the electric vehicle, the photovoltaic local consumption capacity in the micro-grid is improved, it is guaranteed that impact on the power grid is as small as possible, the QPSO algorithm is adopted for optimizing the charging strategy of the electric vehicle, and the problem that the objective function is not converged due to the fact that the optimization dimension of the PSO algorithm is high is solved.

Description

technical field [0001] The invention relates to an electric vehicle charging strategy optimization technology. Background technique [0002] With the development of the economy, my country's electricity consumption is increasing day by day; environmental pollution and fossil energy shortages have become global hot issues; vigorously developing new energy power generation and replacing fuel vehicles with electric vehicles has become an important means of energy conservation and emission reduction; however, photovoltaic and wind power The power generation of renewable energy such as renewable energy has the characteristics of volatility and intermittency. Large-scale and high penetration rate grid connection will bring a lot of impact to the power grid, seriously threatening the security and stability of the power system; in addition, from the perspective of load , The centralized charging and fast charging of electric vehicles have the characteristics of uncertainty and high po...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60L53/51B60L53/63B60L53/64H02J3/32H02J3/38
CPCB60L53/51B60L53/63B60L53/64H02J3/322H02J3/381H02J2203/20H02J2300/24H02J2310/48Y02T10/70Y02T10/7072Y02T90/12Y02E70/30Y02E10/56
Inventor 雷雪婷徐明宇陈晓光胡远婷刘进关万琳曹融荣爽崔佳鹏张睿张美伦刘智洋郑君张明江
Owner STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD ELECTRIC POWER RES INST
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