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分时电价下电锅炉经济运行的BP网络负荷预测
引用本文:张晋文,张新铭,姜延灿.分时电价下电锅炉经济运行的BP网络负荷预测[J].重庆大学学报(自然科学版),2004,27(9):112-114.
作者姓名:张晋文  张新铭  姜延灿
作者单位:重庆大学,动力工程学院,重庆,400030;重庆大学,动力工程学院,重庆,400030;重庆大学,动力工程学院,重庆,400030
摘    要:随着我国电力需求侧管理(DSM)的日益深入和分时电价制度的日益完善,蓄热式电锅炉的应用将越来越广泛.利用人工神经网络的BP预测模型对蓄热式电锅炉供热系统进行了热负荷预测.并以某医院1 200kW蓄热式电锅炉优化运行的研究为例,得到了某日预测的逐时热负荷与实际热负荷的对比关系,预测值与实际值吻合良好.

关 键 词:负荷预测  分时电价  蓄热式电锅炉  BP神经网络
文章编号:1000-582X(2004)09-0112-03
修稿时间:2004年5月21日

Load Forecasting Based on BP ANN for Economical Operation of Electric Boiler with Heat Reservoir Under Time-sharing price
ZHANG Jin-wen,ZHANG Xin-ming,JIANG Yan-can.Load Forecasting Based on BP ANN for Economical Operation of Electric Boiler with Heat Reservoir Under Time-sharing price[J].Journal of Chongqing University(Natural Science Edition),2004,27(9):112-114.
Authors:ZHANG Jin-wen  ZHANG Xin-ming  JIANG Yan-can
Abstract:Along with the generalization of DSM and time-sharing price system, the use of electric boiler with heat reservoir becomes more and more extensive. Load forecasting of heat supply system is an important base in the study of economical operation of electric boiler with heat reservoir under time-sharing price. The BP ANN modeling of the load forecasting for a 1200 kW electric boiler is discussed. The result of hourly heat load forecasting accords well with the real heat load.
Keywords:load forecasting  time-sharing price  electric boiler with BP ANN
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