An intelligent Approach to Combinational Load Shedding with Tracing Reactive Power based on Genetic Algorithm

Ghazanfar SHAHGHOLIAN; Bahman ZAHEDI

Makale detayları

An intelligent Approach to Combinational Load Shedding with Tracing Reactive Power based on Genetic Algorithm

Yazarlar:

Ghazanfar SHAHGHOLIAN | Bahman ZAHEDI

Yayıncı:

Sivas Cumhuriyet Üniversitesi

Dergi:

Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 2017 Vol.38 Issue 1, pp.95-108

Belge Tipi:

Makale

Yayın Tarihi:

2/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000921068

Sıklık:

Üç Aylık

eISSN:

2587-246X

pISSN:

2587-2680

Özet:

 


Abstract. Stability of both voltage and frequency in power systems is the basis of the electricity generation. Load shedding is one the last strategies to stabilize a power system. However, the conventional load shedding schemes do not consider the reactive power as a direct participation in load shedding, which is essential for the voltage stability. To fill this gap, we propose a new combinational under frequency load shedding (UFLS) and Under Voltage Load Shedding (UVLS), considering reactive and active power simultaneously, and using non-dominated sorting genetic algorithm (NSGA II) in this paper. The location of bus loads, the reactive power and the active power consumption at each bus are used as GA control variables. This method is tested on the modified IEEE 39-bus system. The results of simulations validate the proficiency of proposed method in stabilizing the frequency and voltage of the power system.

Keywords: Power system stability, Genetic algorithms, frequency load shedding, voltage load shedding

 

 

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Makale detayları

An intelligent Approach to Combinational Load Shedding with Tracing Reactive Power based on Genetic Algorithm

Yazarlar: Ghazanfar SHAHGHOLIAN | Bahman ZAHEDI

Yayıncı: Sivas Cumhuriyet Üniversitesi

Dergi: Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 2017 Vol.38 Issue 1, pp.95-108

Belge Tipi: Makale

Yayın Tarihi: 2/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000921068

Sıklık: Üç Aylık

eISSN: 2587-246X

pISSN: 2587-2680

Sayı

Yazarlar:

Ghazanfar SHAHGHOLIAN | Bahman ZAHEDI

Yayıncı:

Sivas Cumhuriyet Üniversitesi

Dergi:

Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 2017 Vol.38 Issue 1, pp.95-108

Belge Tipi:

Makale

Yayın Tarihi:

2/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000921068

Sıklık:

Üç Aylık

eISSN:

2587-246X

pISSN:

2587-2680