Electric automobile charging load prediction method guided by peak-valley time-of-use electricity price

A technology of peak-valley time-of-use electricity price and electric vehicles, which is applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as inaccurate load forecasting of electric vehicles, and achieve the effect of being conducive to popularization and application, concise method and fast calculation speed

Inactive Publication Date: 2017-06-16
STATE GRID FUJIAN ELECTRIC POWER CO LTD +2
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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to propose a charging load prediction method for electric vehicles guided by peak-valley time-of-use electricity price, which can accurately reflect the mathematical law between the chan

Method used

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  • Electric automobile charging load prediction method guided by peak-valley time-of-use electricity price
  • Electric automobile charging load prediction method guided by peak-valley time-of-use electricity price
  • Electric automobile charging load prediction method guided by peak-valley time-of-use electricity price

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Experimental program
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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] Combined with the data of various types of electric vehicles in Fujian Province, calculate the maximum daily charging load curve under the guidance of peak and valley electricity prices in Fujian Province in 2020, including the following four parts:

[0044] 1. Establish initial SOC, initial charging time F 0 Various types of electric vehicle charging load models, the equation is:

[0045] Definition E 0 is the initial SOC of the electric vehicle, then E 0 The general equation that satisfies the probability density function:

[0046]

[0047] Definition F 0 is the initial charging time of electric vehicles, then F 0 The general equation that satisfies the probability density function:

[0048]

[0049] In the formula: SOC is the state of charge of the battery, F 0 is the initial charging time of the battery, R is the mileage of the e...

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Abstract

The invention relates to a charging load prediction method for electric vehicles under the guidance of peak-valley time-of-use electricity prices. Firstly, the charging load model of the electric vehicle is established; then, the Monte Carlo simulation method is used to simulate the daily charging load curve; then, the electricity price elasticity matrix is ​​established; finally Calculate the daily charging load curve based on peak and valley time-of-use electricity prices. The invention can accurately reflect the mathematical law between the change of charging users' electricity demand and the change of peak-valley time-of-use electricity price, and solve the problem of inaccurate load prediction of electric vehicles under the peak-valley time-of-use electricity price policy.

Description

technical field [0001] The invention relates to the technical field of grid load forecasting, in particular to a charging load forecasting method for electric vehicles under the guidance of peak and valley time-of-use electricity prices. Background technique [0002] Under the background of energy shortage, serious environmental pollution, and global climate change, electric vehicles, as a new type of transportation, have incomparable advantages over traditional vehicles in alleviating the energy crisis and promoting the harmonious development of human beings and the environment. The focus of attention of the government, automakers, and energy companies. As the basis for analyzing the impact of electric vehicles on the power grid, electric vehicle charging load forecasting is of great significance to power system planning and operation. [0003] Peak-valley time-of-use electricity price refers to dividing 24 hours a day into peak and trough periods according to the load cha...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 柯圣舟严通煜项康利吴威林红阳吴宇忻
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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