A method for improving wind power accommodation based on the peak load curve of the power grid
A technology for grid load and wind power consumption, applied in data processing applications, forecasting, instruments, etc., can solve the problems of increased scheduling difficulty, energy waste, and no specific forecasting method and expression method, etc., to strengthen consumption. Effect
Active Publication Date: 2021-11-23
STATE GRID LIAONING ELECTRIC POWER RES INST +2
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Problems solved by technology
In the power system network of the prior art, there is no specific prediction method and expression method for the specific curve fitting of the power grid load peak time. In the face of the current peak load problem, the power grid can only use the past experience Reserve capacity is used to ensure the reliability of power supply, which not only causes a lot of energy waste in the existing peak-shaving method, but also increases the difficulty of scheduling
[0004] Because the load of the power grid is affected by the environment, weather, and working conditions, the load fluctuations are relatively large during the day. In order to solve the problem that the capacity of the generating set can meet the power supply requirements when the maximum load occurs in a day, the current method can only be to set up enough reserve capacity. , and due to the uncertainty of wind power, a large number of abandoned wind phenomena have been caused, which has caused a lot of waste of resources
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[0040] like figure 1 As shown, the present invention provides a method for improving wind power accommodation based on the peak load curve of the power grid, and takes the calculation of the operation of a thermal power plant as an example to implement this method:
[0041] The rated output power of a thermal power plant is 100MW, the output power of a nuclear power plant is 30MW, the output power of a hydropower plant is 20MW, the rated power of a wind power plant is 30MW, the current light intensity at a certain moment is 1003w / h, the air humidity is 30%, and the ambient temperature is 20 Celsius, the wind speed is 0.7m / s, and the network loss coefficient is 0.1.
[0042] 1. Calculate the possible peak time and the duration Δt of the peak time, and put g=1003, h=30%, t=20, v=0.6 into the following formula:
[0043]
[0044]
[0045] Solve T 1 = 8.13, Δt = 3.1, that is, a peak begins to appear at 8:07, and the duration of the peak is 3.1 hours.
[0046] 2. Calculate ...
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The invention discloses a method for improving wind power accommodation based on the peak load curve of a grid, and belongs to the technical field of smart grids. Generated by curve fitting, the increased load at the peak time is obtained, and the planned arrangement is made for the current abandoned wind access, and the battery is charged, and the peak arrival time is obtained by the curve fitting method, and the battery is discharged at the peak arrival time , charging during the low-valley period, so as to absorb the connected wind power, achieve the effect of peak-shaving and valley-filling, and strengthen the consumption of wind power. This method can obtain peak time curves more accurately. In the calculation process of the present invention, the power generation of wind power is also predicted at the same time, and the storage and discharge conditions of the storage battery are determined through the difference between the load increase at peak time and the power output of wind power. When the charge and discharge of the battery are determined, a large amount of wind power can be absorbed to calculate the wind power capacity in advance.
Description
technical field [0001] The invention belongs to the technical field of smart grids, and in particular relates to a method for improving wind power consumption based on the grid load peak time curve. Background technique [0002] In recent years, with the continuous development of new energy technologies, the grid-connected capacity of new energy represented by photovoltaics and wind power has continued to increase. However, due to the limitation of the reserve capacity of traditional cogeneration units, when the output of photovoltaic power stations and wind farms is large, Traditional units are not capable of peak regulation, resulting in a large number of abandoned wind phenomena. At present, the existing technology adjusts the electricity price strategy at different time periods, increases the electricity price during the peak load period of the power grid, and makes the user reduce the power consumption, thereby realizing the purpose of power grid shaving. However, this...
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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 葛维春左浩李家珏滕云杨金路孙鹏
Owner STATE GRID LIAONING ELECTRIC POWER RES INST