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Short-term load forecasting method based on support vector machine for micro-grid system

A short-term load forecasting and support vector machine technology, applied in the field of power grid load, can solve problems such as poor regularity, small power supply range, and inaccurate weather forecasting

Inactive Publication Date: 2018-02-06
SHANGHAI ELECTRICGROUP CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally, the power supply range of the microgrid is small, and the load fluctuation of the microgrid is larger and the regularity is poor.
At the same time, the weather forecast in a small area is generally inaccurate, so it is difficult to achieve accurate load forecasting

Method used

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  • Short-term load forecasting method based on support vector machine for micro-grid system
  • Short-term load forecasting method based on support vector machine for micro-grid system
  • Short-term load forecasting method based on support vector machine for micro-grid system

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Embodiment Construction

[0024] In order to enable those skilled in the art to better understand the technical solution of the present invention, its specific implementation will be described in detail below in conjunction with the accompanying drawings:

[0025] see figure 2 , the preferred embodiment of the present invention, a short-term load forecasting method based on a support vector machine for a microgrid system, comprising the following steps:

[0026] S1, the selection steps of sample features:

[0027] Power system short-term load forecasting is a multivariate forecasting problem, which can be regarded as a functional regression problem. The predicted load value y is the output value of the function, and the corresponding factors that affect the load such as historical load sequence, time factor and temperature factor are used as the input vector x of the function, and each component of the training data is the SVM (Support Vector Machine, support vector The input vector of the feature q...

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Abstract

The invention discloses a short-term load forecasting method based on a support vector machine for a micro-grid system; the method comprises the following steps: using major constituent analysis to select input vectors, selecting 10 input vectors, obtaining all training samples and test samples, and carrying out normalization process for the inputted sample data; using a grid search method and anintersect verification method to optimize a width parameter and a punishment parameter in kernel functions; building a micro-grid online load forecasting model. The short-term load forecasting methodbased on the support vector machine for the micro-grid system can utilize real time weather information, history load data and holiday information, thus realizing micro-grid online real time load forecast.

Description

technical field [0001] The invention relates to the field of grid loads, in particular to a short-term load forecasting method based on a support vector machine for a micro grid system. Background technique [0002] see figure 1 , Microgrid refers to a self-made microgrid system (hereinafter referred to as microgrid system) that can realize self-control, protection and management, generally including distribution network, grid-connected switch, photovoltaic power supply, wind power supply, energy storage, important load, Secondary loads, energy management modules, load forecasting modules, and weather information modules. The microgrid system can be integrated into the large power grid for operation, and can also operate independently from the large power grid. The micro-grid system can connect renewable energy and clean energy systems to achieve demand management and maximize the use of existing energy. The micro-grid combines electronic systems, energy storage systems an...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/04G06Q50/06G06F18/2411
Inventor 缪勇奚玲玲李卫顾承红张会明
Owner SHANGHAI ELECTRICGROUP CORP