Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《AUTOMATION OF ELECTRIC POWER SYSTEMS》 1999-10
Add to Favorite Get Latest Update

DAILY OPTIMAL OPERATION OF CASCADE HYDROELECTRIC POWER STATIONSBASED ON ARTIFICIAL NEURAL NETWORK

Zhu Min. Wang Dingyi (Huazhong University of Science and Technology, 430074, Wuhan, China)  
This paper presents a new approach based on artificial neural network (ANN) to solve daily optimal operationproblems of cascade hydroelectric power stations in power systems. The new approach can be used not only for the dailyoptimal generation scheduling, but also for the real--time control of cascade hydroelectric power stations. In order to speed upthe convergence of ANN. an analytical technique is used in which the complicated networks are divided into several simpleones. Simulation results show that the presented method is effective.
【CateGory Index】: TV737
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved