水力发电学报2011，Vol.30Issue(2)：11-14,25,5.
基于人工神经网络的梯级水电站群调度规则研究
Study on hydropower stations operation rule by an artificial neural network model
摘要
Abstract
Traditional operations of cascade hydropower stations by the operators' experience need be improved on a scientific basis.This paper proposes an artificial neural network model to determine the optimized operation rule of cascade reservoirs by nonlinear decision-making mechanism.Simulations under the new operation rule were made in a ease study of practical reservoirs, and a comparison of the present results with other different methods shows improvements and advantages of the proposed model.关键词
优化调度/水电站运行/调度规则/神经网络Key words
optimal scheduling/ hydropower station operation/ operation rule/ neural network分类
建筑与水利引用本文复制引用
舒卫民,马光文,黄炜斌,黄鹭,张洪量..基于人工神经网络的梯级水电站群调度规则研究[J].水力发电学报,2011,30(2):11-14,25,5.基金项目
国家自然科学基金重点资助项目(50539140) （50539140）
国家自然科学基金资助项目(50679098) （50679098）
国家科技支撑计划(2008BAB29B09) （2008BAB29B09）
美国能源基金会"中国可持续能源"(G-0610-08581) （G-0610-08581）
