Algerian Journal of Signals and Systems

Algerian Journal of Signals and Systems

Voltage Stability Maximization by Optimal Wind Turbine Insertion Using Genetic Algorithm

Yazarlar: mustafa mosbah, Raimon Bawazir, Numan S. CETIN, Salem Arif, Karim sebaa

Cilt 6 , Sayı 1 , 2021 , Sayfalar 49-54

Konular:-

DOI:10.51485/ajss.v6i1.124

Anahtar Kelimeler:Power system,Voltage stability,Wind turbine

Özet: The integration of clean or renewable sources such as wind turbines based distributed generation (WT_DG) into the power system has become one of the priorities of the grid operator. In this paper a study on the search for optimal locations and sizes of WT in the transmission network has been carried in order to maximize the lambda parameter and therefore the voltage stability, using Genetic Algorithms Technique (GAT). This method has been applied on the modified IEEE 30 bus network, with MATLAB code. The results demonstrated the effectiveness of wind turbine integration in improving the voltage stability of the studied network.    

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@article{2021, title={Voltage Stability Maximization by Optimal Wind Turbine Insertion Using Genetic Algorithm}, volume={6}, number={49–54}, publisher={Algerian Journal of Signals and Systems}, author={mustafa mosbah,Raimon Bawazir,Numan S. CETIN,Salem Arif,Karim sebaa}, year={2021} }
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mustafa mosbah,Raimon Bawazir,Numan S. CETIN,Salem Arif,Karim sebaa. (2021). Voltage Stability Maximization by Optimal Wind Turbine Insertion Using Genetic Algorithm (Vol. 6). Vol. 6. Algerian Journal of Signals and Systems.
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mustafa mosbah,Raimon Bawazir,Numan S. CETIN,Salem Arif,Karim sebaa. Voltage Stability Maximization by Optimal Wind Turbine Insertion Using Genetic Algorithm. no. 49–54, Algerian Journal of Signals and Systems, 2021.
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