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Method for predicting power load

A load forecasting and power load technology, applied in the field of power load forecasting, can solve problems such as low accuracy power loads

Inactive Publication Date: 2010-05-12
王阳
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the above problems and provides a method for power load forecasting that can well solve the problem of low accuracy

Method used

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  • Method for predicting power load

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Embodiment Construction

[0016] (1) Extract data samples from the historical database in load forecasting. When clustering data samples, it can be divided into two methods: one is to cluster all sample data, this method will make the capacity of the main memory insufficient and the system cannot complete a scan. We adopt the method of dividing all the sample data into p areas, and cluster the data in each area, so that all the sample data in each area can be loaded into the main memory.

[0017] (2) For each partition, clustering is performed using a hierarchical algorithm. Hierarchical algorithms actually generate nested clusters. According to different methods of generating clusters, they can be divided into different hierarchical algorithms. What we use here is agglomerative algorithm. The number of clusters for the first time is n / (p*q), where q is a certain constant.

[0018] Due to the application of SCADA system to collect data in the power system, in the process of data measurement, recordin...

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Abstract

The invention relates to a method for predicting power load and provides the power load prediction method which can better solve the problem of low accuracy. The invention provides application thereof in load prediction based on CURE algorithm. Application of the CURE algorithm in the load prediction comprises the following steps: (1) extracting data sample from a historical database of load prediction; (2) adopting hierarchical algorithm to cluster each sub-region of the data sample; and (3) clustering all the data in the sample and inputting representative points only including clusters found when all sub-regions cluster independently.

Description

Technical field: [0001] The invention relates to a method for predicting electric load. Background technique: [0002] Power load forecasting is an important part of the energy management system and power distribution management system. It is the basis for power system planning and operation scheduling, and is also the basic content necessary for the commercial operation of the power market. Accurate load forecasting can reasonably arrange the internal power grid. The start and stop of the generating set reduces unnecessary rotation reserve capacity, reasonably arranges the maintenance plan of the unit, and effectively reduces the cost of power generation and improves economic and social benefits under the conditions of ensuring normal production and life in the society. [0003] Short-term load forecasting is the basis for power system dispatching and planning departments to arrange power purchase plans and formulate operation modes; since power load is not only affected by...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F19/00H02J3/00
Inventor 王阳
Owner 王阳
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