Research on Analysis and Forecast of Power Demand Based on Changli Network

被引：0
|
作者：
Li Ying [1 ]
Liu Qihui [1 ]
Li Chao [2 ]
机构：
[1] North China Elect Power Univ, Sch Elect & Engn, Beijing, Peoples R China
[2] Shi Jiazhuang Power Supply Co, Dept Substn & Operat, Shijiazhuang, Peoples R China
来源：
2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2011年
关键词：
power demand forcasting; distribution network planning; grey system theory; maximum load;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
引用
收藏
页数：4
相关论文
共 50 条
  • [41] Forecast of export demand based on artificial neural network and fuzzy system theory
    Jiang Bin
    Xiong Tianli
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (02) : 1701 - 1709
  • [42] Research on Demand Forecast of City Underground Space
    Zhuo, Chen
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON PRODUCT INNOVATION MANAGEMENT, VOLS I AND II, 2008, : 1216 - 1221
  • [43] Research on Simulation Method of Material Demand Forecast
    Ma, Quanfeng
    Shi, Shaoyong
    Liang, Ying
    SYSTEM SIMULATION AND SCIENTIFIC COMPUTING, PT II, 2012, 327 : 345 - +
  • [44] Power demand forecast based on optimized neural networks by improved genetic algorithm
    Yang, Shu-Xia
    Li, Ning
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 2877 - +
  • [45] RETRACTED: Analysis of Enterprise Human Resources Demand Forecast Model Based on SOM Neural Network (Retracted Article)
    Zheng, Jiafeng
    Ma, Ruijun
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 2021
  • [46] Research on the Combination Forecast Model based on the BP Neural Network
    Zong, Shengwang
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, 2015, 17 : 49 - 53
  • [47] The Research of Crack Forecast for Casting Slab Based Neural Network
    Sun, Jie
    Wang, Junxia
    9TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED INDUSTRIAL DESIGN & CONCEPTUAL DESIGN, VOLS 1 AND 2: MULTICULTURAL CREATION AND DESIGN - CAID& CD 2008, 2008, : 405 - 408
  • [48] Research on Emergency Material Demand Forecast Model in Typhoon Disaster Based on Risk
    Zhang, Bin
    Chen, Jianguo
    Wu, Jinsheng
    Wen, Renqiang
    INNOVATIVE THEORIES AND METHODS FOR RISK ANALYSIS AND CRISIS RESPONSE, 2012, 21 : 72 - 77
  • [49] RESEARCH ON ECOTOURISM DEVELOPMENT MODEL BASED ON BIG DATA TOURISM DEMAND FORECAST
    Liu, Yuji
    FRESENIUS ENVIRONMENTAL BULLETIN, 2022, 31 (8B): : 9260 - 9264
  • [50] Research on demand forecast of spare parts of wind turbine based on system dynamics
    Hu, Di
    Gao, Qingshui
    Zhang, Chu
    Yang, Tao
    Gao, Wei
    Deng, Xiaowen
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2019, 40 (03): : 666 - 672
12345