DocumentCode :
2584650
Title :
Towards on-line optimal reactive power scheduling using ANN memory model based method
Author :
Venkatesh, B. ; Sasadivam, G. ; Khan, M. Abdullah
Author_Institution :
Sch. of Electr. & Electron. Eng., Anna Univ., Chennai, India
Volume :
2
fYear :
1999
fDate :
31 Jan-4 Feb 1999
Firstpage :
844
Abstract :
In an attempt towards on-line implementation of optimal reactive power scheduling (ORPS), a fast method using a mix of ANN based bi-directional associative memory (BAM) model and corrective control algorithm (CCA) is proposed. Sufficient number of previously encountered system states and their optimal control settings obtained through a conventional method are stored in the BAM´s weight matrix in the encoded form. Then, the BAM is put on-line. Given any arbitrary system state, the BAM recalls the closest previously encountered system state and its corresponding optimal settings. The optimal settings are corrected for any operational constraint violation using the CCA and are implemented. The method was tested on a modified IEEE 30 bus system. Twelve sets of system states and their optimal settings were stored. Given any arbitrary system state, the BAM successfully recalled the closest stored system state and its optimal settings which were corrected for violations using the CCA. The time taken was approximately one tenth of that of the conventional method demonstrating the usefulness of the proposed method.
Keywords :
neural nets; power engineering computing; power system control; reactive power control; scheduling; ANN memory model based method; bi-directional associative memory model; closest previously encountered system state; corrective control algorithm; modified IEEE 30 bus system; on-line optimal reactive power scheduling; operational constraint violation; optimal control settings; Control systems; Magnesium compounds; Optimal control; Optimization methods; Power generation; Power systems; Propagation losses; Reactive power; Reactive power control; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society 1999 Winter Meeting, IEEE
Print_ISBN :
0-7803-4893-1
Type :
conf
DOI :
10.1109/PESW.1999.747273
Filename :
747273
Link To Document :
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