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https://doi.org/10.1080/00051144.2017.1391941

Dynamic equivalent of wind farm model for power system stability studies

Maharajan Duraisamy ; Research Scholar, Anna University, Guindy, India
Kumudini Devi Raguru Pandu ; Power Systems Engineering Division, Anna University, Guindy, India
Ramanujam Rangarajan ; Department of Electrical and Electronics Engineering, SRM University, Kattankulathur, India


Puni tekst: engleski pdf 1.802 Kb

str. 216-231

preuzimanja: 450

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Sažetak

A new dynamic equivalencing method for stability assessment of a grid-integrated wind farm is proposed in this article. The accuracy of the method is validated for a 34-bus system with 28-unit wind farm connected to Indian utility system. This wind farm consists of several wind turbines of two different ratings. The electrical parameters of the equivalent generator are derived from the mathematical model of the squirrel-cage induction generator. The parameters of the equivalent wind-turbine generator are optimized to yield minimum deviation from the detailed system response using genetic algorithm. The small-signal and transient stability responses of the study system with detail wind farm and equivalent model are simulated using MATLAB. Equivalent model eigenvalues are compared to the centre of inertia based detailed
system eigenvalue. In addition, the computed eigenvalues and time-domain responses of the proposed equivalent model, detailed wind farm are compared against weighted model proposed earlier. In most of the investigated cases, the average error of dynamic responses between the proposed equivalent and detailed models are less when compared to weighted model. Thus, the large-signal responses of the proposed equivalent model show superior agreement with detailed system response.

Ključne riječi

Transient stability; smallsignal stability; dynamic equivalent; squirrel-cage induction generator; Indian utility system; wind farm; genetic algorithm

Hrčak ID:

203357

URI

https://hrcak.srce.hr/203357

Datum izdavanja:

1.12.2017.

Posjeta: 892 *