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Study of the Load Forecasting of the Electricity Market in the Rural Area of Huaibei City

Author: ZhangZhiQiang
Tutor: ZhaoZhiBin;LiHuaiHai
School: North China Electric Power University
Course: Electrical Engineering
Keywords: Electricity market Time series method Load forecasting
CLC: TM715
Type: Master's thesis
Year: 2011
Downloads: 51
Quote: 0
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Abstract


Load forecasting is starting from a known demand for electricity , consider the political , economic , climate , and other relevant factors , to predict the future demand for electricity . Load forecast of the rural power grid , there is conducive to ensuring the security of the rural power , optimizing the power structure , reasonable arrangements for grid operation mode and Unit Maintenance Plan , develop a reasonable grid construction planning , improve the economic and social benefits of the electric power system for rural and agricultural development good power protection. The the Anhui Huaibei rural ( suixi ) power load is divided into six categories , specific large industrial , non - S \u0026 P industrial , commercial , agricultural production users , since the venture user of migrant workers and rural residents , users . Known nearly four load historical data based on various industries with load and total load time series prediction. Exponential smoothing a time series prediction method , commonly used in power system load forecasting method . This selection of secondary exponential smoothing method to forecast of Huaibei power load carried . The smoothing coefficient selection has empirical estimation method , trial and error method , the preferred method , etc., used to select the decile the preferred method smoothing coefficient . The next four years , Huaibei power load will be substantial growth , a relatively large proportion of total load of industrial , rural residents , electricity and other industries , non- S \u0026 P industry, agriculture production users , the total proportion of self - entrepreneurship users relatively small.

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Theory and Analysis > Power system planning
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