DocumentCode :
2356564
Title :
An intelligent voltage control system — Training, learning and controlling
Author :
Ma, Haomin ; Lin, Dan ; Tao, Mei
Author_Institution :
Shenzhen Polytech., Shenzhen, China
fYear :
2011
fDate :
25-28 Sept. 2011
Firstpage :
1
Lastpage :
6
Abstract :
An intelligent voltage control (IVC) system is proposed in this paper. Accompanied with training and learning capabilities, this system can realized a fast and efficient voltage control after an emergency happens in a power system. Firstly, the system knowledge is acquired from off-line studies and then further accumulated from on-line experiences by learning. With this saved control knowledge, the searching solution space is then significantly reduced in focusing into a specified area. Within this solution area, the on-line control can quickly achieve a good system performance. With both of the training and learning scheme, controls for any emergency can be realized in a rapid and qualified response. A simulation in the New England 39-bus power system shows that this intelligent strategy is very efficient for real time applications.
Keywords :
learning systems; power system control; predictive control; training; voltage control; New England 39-bus power system; intelligent voltage control system; learning; model predictive control; online control; power system control; searching solution space; training; Aerospace electronics; Databases; Genetic algorithms; Optimization; Power system stability; Voltage control; Coordinated voltage control; intelligent system; model predictive control; multi-objective optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Application to Power Systems (ISAP), 2011 16th International Conference on
Conference_Location :
Hersonissos
Print_ISBN :
978-1-4577-0807-7
Electronic_ISBN :
978-1-4577-0808-4
Type :
conf
DOI :
10.1109/ISAP.2011.6082256
Filename :
6082256
Link To Document :
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