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混合电力系统的短期预报和最优调度
引用本文:蔡良伟,周俊人.混合电力系统的短期预报和最优调度[J].系统工程与电子技术,1999,21(8).
作者姓名:蔡良伟  周俊人
作者单位:1. 深圳大学电子系,518060
2. 清华大学,北京,100084
摘    要:应用BP型神经网络,对水火混和电力系统中的负荷和水库独立来水进行短期预报;应用大系统最优化理论中的关联预估方法,针对大规模水火混合电力系统的最优经济调度问题,构造出一个新的多级算法,该算法结构清晰,具有很好的收敛性。

关 键 词:预报  最优调度  电力系统  神经网络  关联预估

Short Term Forecast and Optimal Dispatch of Hybrid Power Systems
Cai Liangwei,Zhou Junren.Short Term Forecast and Optimal Dispatch of Hybrid Power Systems[J].System Engineering and Electronics,1999,21(8).
Authors:Cai Liangwei  Zhou Junren
Abstract:In this paper, BP neural network is used to make short term forecast for the load and reservoir's independent income water in hydro\|thermal hybrid power systems. By using of the interaction prediction method of large scale system's optimization theory, a new multi\|level algorithm is constructed for optimal economical dispatch of large scale hydro\|thermal hybrid power systems. This algorithm is well defined in structure, it has very good convergence.
Keywords:Forecast  Optimal dispatch  Power system  Neural network  Interaction prediction  
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