Power load nonlinear harmonic comprehensive prediction method and device and storage medium

A technology for comprehensive forecasting and power load, applied in the field of power systems

Inactive Publication Date: 2020-04-28
南方电网能源发展研究院有限责任公司
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a comprehensive prediction method, device and storage medium based on the artificial immune algorithm for nonlinear harmony of power loads, wh...

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  • Power load nonlinear harmonic comprehensive prediction method and device and storage medium
  • Power load nonlinear harmonic comprehensive prediction method and device and storage medium
  • Power load nonlinear harmonic comprehensive prediction method and device and storage medium

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[0102] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0103] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0104] It should also be understood that the terminology used in the description...

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Abstract

The invention discloses a power load nonlinear harmonic comprehensive prediction method and device based on an artificial immune algorithm and a storage medium. The method comprises the steps that anAIS-based harmonic average comprehensive prediction model is established, the optimal weight of each single power load prediction model in the power load prediction comprehensive model is used as an antigen, the solution of the weight is used as an antibody, and the working principle of a biological immune system is simulated; obtaining a prediction result by using the following four models: a metering economic model, a stepwise regression model, a gray index smoothing model and a fuzzy clustering model; searching an optimal weight; namely, a globally optimal solution is searched and obtainedthrough the processes of antibody initialization, target function calculation, immune genetic evaluation, immune genetic operation selection, crossover, variation and the like. The method has high androbust information processing capacity, does not require the objective function to have derivable equal-height additional information when solving the problem, and is higher in efficiency in the search process.

Description

technical field [0001] The invention relates to the technical field of electric power systems, in particular to a method, device and storage medium for comprehensive prediction of power load nonlinear harmony based on artificial immune algorithm. Background technique [0002] Load forecasting is the basis for power system planning, operation, and demand-side management. The level of power load forecasting has become one of the notable signs of whether a power company's management is moving toward modernization. Especially in today's unprecedented development of my country's electric power industry, power consumption management is coming to the market, and the problem of power load forecasting has become an important and arduous task we are facing. [0003] Although the research results of the forecasting methods in the prior art are relatively mature, various forecasting methods are proposed under certain assumptions, and often contain information independent of the system, ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06F17/18G06N3/00
CPCG06F17/18G06N3/006G06Q10/04G06Q50/06
Inventor 董楠席云华杨少瑞
Owner 南方电网能源发展研究院有限责任公司
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