Method, system and device for predicting the maximum load of summer power grid
A technology of maximum load, forecasting method, applied in the field of electric power engineering
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Embodiment 1
[0078] According to an embodiment of the present invention, a summer power grid maximum load forecasting system is provided, figure 2 It is a schematic diagram of a summer power grid maximum load forecasting system module according to an embodiment of the present invention, such as figure 2 shown, including:
[0079] Cooling load module 10: used to calculate the d-day cooling load of the power grid last summer according to the spring and autumn base load method;
[0080] The cooling load module 10 specifically includes,
[0081] Calculate the average load data of last spring to obtain the base load of last spring, and calculate the average load data of last autumn to obtain the autumn base load of last autumn. According to the linear growth of the base load from spring to autumn, draw the abscissa as time and the ordinate as a linear function of load Figure, get the base load P on d day last summer dt ;
[0082] According to formula 1, the maximum daily load in last summ...
Embodiment 2
[0121] An embodiment of the present invention provides a summer power grid maximum load forecasting device, such as image 3 As shown, it includes: a memory 30, a processor 32, and a computer program stored in the memory 30 and operable on the processor 32. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.
Embodiment 3
[0123] An embodiment of the present invention provides a computer-readable storage medium, on which a program for realizing information transmission is stored, and when the program is executed by the processor 32, the steps in the foregoing method embodiments are implemented.
[0124] The computer-readable storage medium described in this embodiment includes but is not limited to: ROM, RAM, magnetic disk or optical disk, and the like.
[0125] Obviously, those skilled in the art should understand that each module or each step of the above-mentioned present invention can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed in a network formed by multiple computing devices Alternatively, they may be implemented in program code executable by a computing device so that they may be stored in a storage device to be executed by a computing device, and in some cases in an order different from that shown here The s...
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