A self-tuning NeuroFuzzy feedback linearization-based damping control   strategy for multiple HVDC links

SAGHIR AHMAD; LAIQ KHAN

Makale detayları

A self-tuning NeuroFuzzy feedback linearization-based damping control strategy for multiple HVDC links

Yazarlar:

SAGHIR AHMAD | LAIQ KHAN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.913-938

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000741018

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

This research work proposes a multi-input multi-output   (MIMO) online adaptive feedback linearization NeuroFuzzy control (AFLNFC)   scheme to improve the damping of low frequency oscillations (LFOs) in an   AC/DC power system. Optimized NeuroFuzzy identification architecture online   captures the oscillatory dynamics of the power system through wide area   measurement system (WAMS)-based measured speed signals of machines. Based on   the identified power system model, the appropriate control law is derived   through feedback linearization control with a self-tuned coefficient vector.   The generated control signal modulates the real power flow through a high   voltage direct current (HVDC) link during perturbed operating conditions and   enhances system stability. The effectiveness of the proposed control   strategy is demonstrated through different contingency conditions of a   multi-machine test power system with multiple HVDC links. The results   validate the significance of the proposed control strategy to improve the   capability of HVDC links to damp inter-area modes of LFOs. The proposed MIMO   AFLNFC performance is bench-marked against conventional PID based   supplementary control.

Makale detayları

A self-tuning NeuroFuzzy feedback linearization-based damping control strategy for multiple HVDC links

Yazarlar: SAGHIR AHMAD | LAIQ KHAN

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.913-938

Belge Tipi: Makale

Yayın Tarihi: 3/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000741018

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

SAGHIR AHMAD | LAIQ KHAN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.913-938

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000741018

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632