Title :
Research on Analysis and Forecast of Power Demand Based on Changli Network
Author :
Li Ying ; Liu Qihui ; Li Chao
Author_Institution :
Sch. of Electr. & Eng., North China Electr. Power Univ., Beijing, China
Abstract :
In this paper, based on the use of electric power in history and the economic development in future, from the geographical area, voltage level, the view of industry point, load cycle and other aspects, we summed up the characteristics of the power demand forecasting of Changli. Then based on the comprehensive analysis of these characteristics, we decided to use the power demand forecasting method based on grey system theory to predict the short term power demand and use the average annual growth rate method to predict the medium term power demand. According to the research on the electricity and the historical load data of changli power grid, we analyzed the characteristics of Changli´s distribution network. Finally we predicted the power and maximum load of Changli from 2010 to 2015 by the forecasting method based on the grey system theory and average annual growth rate method.
Keywords :
grey systems; load forecasting; power distribution planning; power grids; annual growth rate; distribution network; economic development; grey system theory; load cycle; power demand forecasting; power grid; Economics; Electricity; Forecasting; Load forecasting; Planning;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5749087