Method for establishing virtual reality excavation dynamic smart load prediction models

A load forecasting and intelligent forecasting technology, applied in the field of smart grid, can solve the problems of limited application, inability to fully adapt to the smart grid environment, and low accuracy

Inactive Publication Date: 2014-08-27
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0015] The purpose of the embodiments of the present invention is to provide a method for constructing a dynamic intelligent load forecasting model for imaginary mining, aiming at solving the problems that existing intelligent load forecasting models have low precision, limited application, and cannot fully adapt to the modern smart grid environment

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  • Method for establishing virtual reality excavation dynamic smart load prediction models
  • Method for establishing virtual reality excavation dynamic smart load prediction models

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[0048] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] The application principle of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0050] Such as figure 1 As shown, the method for constructing a dynamic intelligent load forecasting model for imaginary mining in an embodiment of the present invention includes the following steps:

[0051]S101: Use knowledge mining technology to form a simulated environment for analysis, and explore the quantitative impact relationship between meteorological impacts and renewable energy power generation, between regional environmental characteristics and regi...

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Abstract

The invention discloses a method for establishing virtual reality excavation dynamic smart load prediction models. The method includes the steps that the knowledge excavation technology is adopted so that a virtual reality analysis environment can be formed, the influence relation between fixed quantities is explored, and an input variable candidate set is determined; smart load prediction models of a support vector machine of a self-adaptive structure and an Elman neural network and the like are established, wherein input variables are determined by the support vector machine through the attribute screening technology and parameters are optimized by the support vector machine through a flora tendency differential evolutionary algorithm; a region load smart load prediction model based on data slice excavation is established; a load curve prediction model combined with dynamic electrovalence factors, user characteristics and the user response electric quantity is established, so that linked correcting prediction of loads, electrovalence and the response electric quantity is achieved. According to the method, the prediction models suitable for the actual condition of a smart power grid of China are established, the scale of construction of renewable energy sources is reasonably planned, more efficient power utilization of users is facilitated, and reasonable arrangement of power supply resources of power enterprises is facilitated.

Description

technical field [0001] The invention belongs to the technical field of smart grids, and in particular relates to a method for constructing a dynamic intelligent load forecasting model for imaginary mining. Background technique [0002] Smart grid is the main direction of power system reform in the future. Building a more intelligent, economical, environmentally friendly, and low-carbon development grid has become a common goal of the world. Since Obama came to power, the United States has proposed a smart grid-based The core of the U.S. energy strategy is to combine locally dispersed smart grids into a nationwide network system; the European smart grid innovation is to combine wide-area power transmission networks with smart grids to form a super smart power grid. The development direction of smart power refers to the complex power system generation, transmission, distribution, and use as the target, and organically combines new power grid control technology, intelligent inf...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/02
Inventor 王建军牛东晓李莉李存斌
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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