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Centralized intelligent dispatching method for charging plug-in hybrid electric vehicle (PHEV)

A hybrid electric vehicle, intelligent dispatching technology, applied in secondary battery charging/discharging, secondary battery repair/maintenance, etc., can solve problems such as large development space

Inactive Publication Date: 2010-12-01
HOHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] To sum up, the current V2G technology for PHEVs is mainly limited to the above two aspects. However, from the perspective of demand-side response, intelligently deploying V2G charging for PHEVs to achieve peak-shaving functions on the grid side has not yet achieved concrete results, and there is huge room for development.

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  • Centralized intelligent dispatching method for charging plug-in hybrid electric vehicle (PHEV)

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Embodiment Construction

[0112] In order to verify the feasibility of the present invention, a specific example is as follows: the PHEV retention rate in the Long Island Area of ​​the State of New York in the Northeast of the United States is 25%, assuming that 60% of the total 214,780 PHEVs participate in the peak-shaving intelligence Charge. On January 1, 2010, the data released by the ISO in the Long Island area is shown in Table 1 below, which shows the day-ahead load and electricity price information during the peak-shaving period. The peak-shaving period ranges from 21:00 pm to 07:00 am the next day:

[0113]

[0114] Table 1: List of day-ahead electricity price load information

[0115] The present invention divides PHEVs into five types from the perspective of PHEV battery to be charged, 10KWh, 8KWh, 6KWh, 4KWh and 2KWh, then the charging time corresponding to PHEV is 5 hours to 1 hour, and the percentage of PHEVs of each charging time type in the total PHEV 10%, 20%, 30%, 20%, 10%. In ad...

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Abstract

The invention provides a centralized intelligent dispatching method for charging a plug-in hybrid electric vehicle (PHEV), which belongs to the research field of power system demand side response and is especially suitable for a plug-in hybrid electric vehicle (PHEV) of peak load regulation. The invention is established on the basis of a dynamic estimation interpolation concept, and mainly comprises the following parts: real-time information extraction, PHEV dynamic cataloging, load per-unit transformation, boundary condition detection, singular load analysis, load estimation interpolation, load index evaluation and charging cost calculation. The invention can dynamically dispatch the charging time periods of the PHEV, thereby effectively reducing the risk and hidden danger which are brought by the load singularity of the grid side, indirectly lowering the investment into newly arranged generating equipment at the grid side and saving the charging cost at the user side, and realizing the purpose of benefiting both the grid side and the user side.

Description

Technical field: [0001] The invention relates to a centralized intelligent scheduling charging method for a plug-in hybrid electric vehicle, in particular suitable for a plug-in hybrid electric vehicle for load peak regulation, and belongs to the research field of demand side response of a power system. Background technique: [0002] Vehicle to Grid (V2G: Vehicle to Grid) of Plug-in Hybrid Electric Vehicle (PHEV: Plug-in Hybrid Electric Vehicle) is a concept to realize the interconnection between vehicle and grid. Through the electric energy exchange between PHEV and grid, various Electricity market ancillary services. [0003] With the introduction of the smart grid concept, State Grid is building a new generation of power system engineering that is reliable, safe, economical, efficient, and fully embodies the idea of ​​demand-side management. Under this macro background, with the rapid development of plug-in hybrid electric vehicle technology at home and abroad, due to th...

Claims

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Application Information

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IPC IPC(8): H01M10/44
CPCY02E60/10
Inventor 刘皓明邱玥灏陈星莺王丹
Owner HOHAI UNIV
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