Using learning automata for multi-objective generation dispatch considering cost, voltage stability and power losses

Arif KARAKAŞ; Celal KOCATEPE; Fangxing LI

Makale detayları

Using learning automata for multi-objective generation dispatch considering cost, voltage stability and power losses

Yazarlar:

Arif KARAKAŞ | Celal KOCATEPE | Fangxing LI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2011 Vol.19 Issue 6, pp.913-927

Belge Tipi:

Makale

Yayın Tarihi:

5/2011

Belge Dili:

Türkçe

Document ID (Org No.):

2000743722

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

The economical and secure operation of power systems has  significant importance.  Due to technical limitations, the best  economical operation point is not always the desired operating point  for system stability or power losses.  In this study, first, the most  economical operating point is obtained by solving the non-linear,  network-constrained economic dispatch problem using a genetic  algorithm.  Then, the system voltage stability is analyzed to compare  the different possible operating points using V-Q sensitivity  analysis.  The power losses, obtained for various operating points,  are considered the third objective function.  Finally, these 3 aspects  of cost, voltage stability, and power losses are combined, using the  learning automata technique, to achieve a multi-objective optimization  solution.  The methodology was implemented in MATLAB 7.8 and applied  to the IEEE 30-bus test system.  The same technique of learning  automata may be applied in the future to similar problems that need  multi-objective consideration.

 

The economical and secure operation of power systems has  significant importance.  Due to technical limitations, the best  economical operation point is not always the desired operating point  for system stability or power losses.  In this study, first, the most  economical operating point is obtained by solving the non-linear,  network-constrained economic dispatch problem using a genetic  algorithm.  Then, the system voltage stability is analyzed to compare  the different possible operating points using V-Q sensitivity  analysis.  The power losses, obtained for various operating points,  are considered the third objective function.  Finally, these 3 aspects  of cost, voltage stability, and power losses are combined, using the  learning automata technique, to achieve a multi-objective optimization  solution.  The methodology was implemented in MATLAB 7.8 and applied  to the IEEE 30-bus test system.  The same technique of learning  automata may be applied in the future to similar problems that need  multi-objective consideration.

Makale detayları

Using learning automata for multi-objective generation dispatch considering cost, voltage stability and power losses

Yazarlar: Arif KARAKAŞ | Celal KOCATEPE | Fangxing LI

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2011 Vol.19 Issue 6, pp.913-927

Belge Tipi: Makale

Yayın Tarihi: 5/2011

Belge Dili: Türkçe

Document ID (Org No.): 2000743722

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Arif KARAKAŞ | Celal KOCATEPE | Fangxing LI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2011 Vol.19 Issue 6, pp.913-927

Belge Tipi:

Makale

Yayın Tarihi:

5/2011

Belge Dili:

Türkçe

Document ID (Org No.):

2000743722

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632