A quantitative analysis method for influence factors of load characteristics

A technology of influencing factors and load characteristics, applied in the field of electric power engineering, can solve the problems of many influencing factors, no clear division, and complexity of indicators, and achieve the effect of improving prediction accuracy and ensuring safety

CN108985964AInactive Publication Date: 2018-12-11KUNMING UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2018-12-11
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a quantitative analysis method for influencing factors of load characteristics, belonging to the technical field of electric power engineering. At first, a main index of the influence factors of the load characteristic is extracted by a principal component analysis method, the traditional grey relational analysis method is improved, the main influencing factors are quantitatively analyzed by fuzzy weighted grey relational analysis, and thus the correlation degree between the load characteristic index and the main influencing factor index is obtained. Therefore, the users can take appropriate forecasting methods according to the influence of different factors. The method is of great significance to improving the accuracy of regional load forecasting and ensuring thesafe, economic and efficient operation of the power network.
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Description

technical field

[0001] The invention relates to a method for quantitative analysis of factors affecting load characteristics, and belongs to the technical field of electric power engineering. Background technique

[0002] The power load characteristics are an intuitive reflection of the power consumption structure and power consumption mode of the entire power grid. With the continuous development of the market economy, the load characteristics of the power grid are also constantly changing. At present, there are many factors affecting the change of load characteristics, such as: economic development level and economic structure, residents' income and living consumption level, power consumption structure, electricity price, temperature and demand-side management measures, etc. The results brought about by different influencing factors are also quite different, and there is a lot of randomness and uncertainty. This has brought great difficulties to modeling and analysis, so...

Examples

Embodiment 1

[0013] Embodiment 1: as figure 1 As shown, a method for quantitative analysis of factors affecting load characteristics, the steps of the method are as follows:

[0014] S1. Select the main influencing factor indicators of the power load characteristics: extract m main influencing factor indicators from the n data indicators in the historical data based on the power load characteristics processed by the active analysis method;

[0015] The specific process is as follows:

[0016] Based on the historical load data of a certain city, combined with relevant information, 11 indicators were selected as the preliminary indicators of the influencing factors of load characteristics in Kunming according to the economic structure, electricity structure and social factors. where: X 0 —GDP (100 million yuan), X 1 —The proportion of primary industry GDP / (%), X 2 —The proportion of secondary industry GDP / (%), X 3 —GDP ratio of the tertiary industry / (%), X 4 —The average maximum temper...