Huy NGUYEN-DUC, Linh TRAN-HOAI, Dieu Vo NGOC

8995

A novel approach to solve transient stability constrained optimal power flow problems

This paper proposes an approach to solve the transient stability constraint optimal power flow (TSC-OPF) problem. The transient stability constraints are expressed as the critical clearing time (CCT) of different contingencies, and are approximated using artificial neural networks (ANNs). The ANNs provide a nonlinear, differentiable mapping between the load flow variables and the CCT. As a result, the TSC-OPF with multiple transient stability constraints can be solved very efficiently with little additional computational burden. The effectiveness of the proposed method is demonstrated with the IEEE 39 bus and the IEEE 300 bus systems.
Keywords:

Power system stability critical clearing time, transient stability constrained optimal power flow, artificial neural networks,

PDF
Turkish Journal of Electrical Engineering and Computer Science-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
Arşiv
Sayıdaki Diğer Makaleler

Prakash ARUMUGAM, Ravichandran Coimbatore SUBRAMANIAN

Umut Can ÇABUK, Ömer AYDIN, Gökhan DALKILIÇ

Sillawat ROMPHOCHAI, Komsan HONGESOMBUT

Chandragupta Mauryan Kuppamuthu SIVALINGAM, Subramanian RAMACHANDRAN, Purrnimaa Shiva Sakthi RAJAMANI

Asif KHAN, Alam ZAIB, Shahid KHATTAK

Pelin YILDIRIM, Derya BİRANT, Tuba ALPYILDIZ

Zafar Bedar KHAN, Huiling ZHAO

Weijia CUI, Yuzhu HE

Mstislav KALIBERDA, Leonid LYTVYNENKO, Sergey POGARSKY

Ali Kürşad GÖRÜR, Pinar Öztürk ÖZDEMİR, Elif Güntürkün ŞAHİN, Ceyhun KARPUZ