DocumentCode :
3518001
Title :
Evaluation of IRAN Dispatching Status for Next 10 Years with Neural Network
Author :
Madahi, Seyed Siavash Karimi ; Araghi, Saeid Amir ; Razavi, Farzad ; Ghadimi, Ali Asghar
Author_Institution :
Dept. of Elec. Eng., Univ. of Tafresh Tafresh, Tafresh, Iran
fYear :
2010
fDate :
26-27 June 2010
Firstpage :
50
Lastpage :
53
Abstract :
Dispatching centers play an important role in safe and stable operation and also have a great importance observing economical usages. Basically stepwise dispatching system is corresponding to electrical network structures and the ministry of power management methods, and also has to be more flexible with future operation methods and able to coordinate with future structure of country power network. In this paper, important hints and tips to improve dispatching situation, is presented besides clarifying the status of Iran power network with the current structure of AOC´s in next 10 years. Since the demand of each AOC is a nonlinear and multivariable function, Artificial Neural Network (ANN) is used for load consumption estimation. Finally total generation need in each AOC for satisfying one of the major indexes, generation and consumption balance, will present.
Keywords :
distribution networks; load dispatching; neural nets; transmission networks; ANN; Iran dispatching status; Iran power network; artificial neural network; country power network; dispatching centers; electrical network structures; load consumption estimation; power management methods; Area Operation Center (AOC); Artificial Neural Network (ANN); Back-Propagation (BP); dispatching; location of power plants; power system control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Power and Energy Engineering (ICFPEE), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-7378-6
Electronic_ISBN :
978-1-4244-7379-3
Type :
conf
DOI :
10.1109/ICFPEE.2010.19
Filename :
5663341
Link To Document :
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