Power daily load characteristic indicator prediction method

A technology of characteristic index and forecasting method, which is applied in the direction of load forecasting, electrical components, circuit devices, etc. in the AC network, can solve the problems that the forecasting accuracy and reliability are difficult to meet the analysis needs of the power market, and achieve the improvement of operating economy and Reliability, reduced idleness, and improved scientific effects

Active Publication Date: 2015-05-20
CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the prediction accuracy and reliability of the existing power system load characteristic prediction method cannot meet the needs of power market analysis, and to provide a method for predicting the daily load characteristic index of electric power

Method used

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  • Power daily load characteristic indicator prediction method

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specific Embodiment 1

[0027] The method for predicting power daily load characteristic indicators involved in this embodiment is characterized in that: some industries are selected or set as typical industries, and some resident users are selected or set as typical users; The electricity load data of typical users is summarized and sorted out the daily load characteristic indexes of typical industries and typical users, and the daily load curve is drawn; then, the forecast model of the load characteristic indexes of different sectors and the load characteristic indexes of the whole system is established. According to the daily load curve, the trend of electricity consumption in various typical industries and residents is obtained, and the predicted value of daily load rate and daily minimum load rate is obtained.

[0028] In this embodiment:

[0029] Further, the method for predicting the daily load characteristic index of electric power is characterized in that it comprises the following steps:

[0030]...

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Abstract

The invention relates to a power daily load characteristic indicator prediction method. The method includes: selecting or setting certain industries as typical industries, and selecting or setting certain residential users as typical users; regularly or irregularly collecting power consumption load data of the typical industries and the typical users for a plurality of times, acquiring power consumption daily load characteristic indicators of the typical industries and the typical users of each time by induction and reorganization, and drawing a daily load curve; building a prediction model of departmental load characteristic indicators and whole-system load characteristic indicators, acquiring changing tendency of household power consumption of the typical industries and the residential users according to the daily load curve to acquire predication values of daily load rate and minimum daily load rate. By the power daily load characteristic indicator prediction method, load characteristic changing rule and tendency can be accurately known, scientificity and accuracy in power market analysis prediction are improved, and strength in supporting work like power grid programming, planning and production running.

Description

Technical field [0001] The invention relates to a method for predicting power daily load characteristic indicators, which is suitable for the prediction of power daily load characteristic indicators in the planning, planning, and production and operation of the Zhuhai power grid, and can be used for urban power grid planning and design, power grid operation, market operation decision-making and other fields Provide information and basis. It belongs to the field of power system design. Background technique [0002] The study of power system load characteristics is an important foundation for planning, planning, and production and operation of power grids. Power load characteristics have a complex relationship with regional industrial structure adjustments, changes in economic growth patterns, energy conservation, emission reduction, climate and temperature. By analyzing the degree of influence of these factors on the load characteristics, it is helpful to grasp the law of load ch...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J3/003
Inventor 钟杰峰郭知非袁康龙何向刚
Owner CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
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