Electric vehicle group scheduling method based on load classification

A technology for electric vehicles and scheduling methods, applied in electric vehicle charging technology, instruments, data processing applications, etc., can solve problems such as limiting scheduling flexibility

Active Publication Date: 2019-11-19
XI AN JIAOTONG UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When modeling battery swapping electric vehicles, it is assumed that the replaced battery has run out of power, which has limitations, and does not perform charge and di

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  • Electric vehicle group scheduling method based on load classification
  • Electric vehicle group scheduling method based on load classification
  • Electric vehicle group scheduling method based on load classification

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Embodiment Construction

[0118] The invention provides a load classification-based electric vehicle group dispatching method, respectively established under the G2V and V2G modes, with the constraints of the physical conditions of the rechargeable electric vehicles and the travel needs of users, and with the goal of maximizing the operating benefits of the load aggregator The dispatching decision-making model of charging electric vehicles; under the G2B and B2G modes, the dispatching of battery swapping electric vehicles is constrained by the physical conditions of batteries of swapping electric vehicles and the needs of users for swapping batteries, and the goal is to maximize the operating benefits of load aggregators. decision model.

[0119] A kind of electric vehicle group scheduling method based on load classification of the present invention, comprises the following steps:

[0120] S1. Obtain system historical data from relevant departments, obtain the status and information of electric vehicle...

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Abstract

The invention discloses an electric vehicle group scheduling method based on load classification. The method comprises steps of carrying out load prediction and electric vehicle behavior prediction; establishing a charging type electric vehicle load group scheduling objective function and a charging type electric vehicle load group scheduling constraint condition in G2V and V2G modes; optimizing the economic benefit of the power exchange type electric vehicle load aggregator in the G2B mode and the economic benefit of the power exchange type electric vehicle load aggregator in the B2G mode tothe maximum, and establishing a power exchange type electric vehicle load group scheduling objective function and a power exchange type electric vehicle load group scheduling constraint condition in the G2B mode and the B2G mode; determining an electric vehicle load classification scheduling method and charging and discharging schemes for rechargeable electric vehicle batteries; adopting a batterycharging, discharging and battery replacing scheme of the battery replacing type electric automobile; and enabling the aggregator to purchase and sell electricity from the power grid and optimizes the economic benefit of the aggregator. According to the method, the potential of the demand side is fully excavated, and certain guiding significance is achieved for large-scale electric vehicle accessto the power grid in the future.

Description

technical field [0001] The invention belongs to the technical field of electric vehicle group scheduling, and in particular relates to a load classification-based electric vehicle group scheduling method. Background technique [0002] As a typical flexible load resource, electric vehicles have both the characteristics of load and energy storage, and can promote the stable operation of the power grid in terms of peak shaving and valley filling, new energy consumption, and frequency regulation. When large-scale electric vehicles are connected and charged out of order, the load on the power system will be greatly increased, especially the peak load. By effectively aggregating electric vehicle loads, aggregators can participate in demand-side response in an orderly manner by rationally optimizing dispatch. A variety of smart grid technologies are used here, such as RFID, GPRS, and Ethernet technology, so that electric vehicles can communicate with the aggregator, and transmit t...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/06312Y02T90/167Y04S30/12Y04S50/16Y02T10/70Y02T10/7072
Inventor 王建学朱宇超雍维桢张耀陈竟成白辛雨
Owner XI AN JIAOTONG UNIV
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