ROBUSTNESS AND ADAPTABILITY ANALYSIS OF EQUIVALENT MODEL OF DFIG WIND FARM BASED ON MEASURED DATA OF PMU

Zhang Jian, Cui Mingjian, He Yigang

Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (10) : 320-328.

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (10) : 320-328. DOI: 10.19912/j.0254-0096.tynxb.2022-0867

ROBUSTNESS AND ADAPTABILITY ANALYSIS OF EQUIVALENT MODEL OF DFIG WIND FARM BASED ON MEASURED DATA OF PMU

  • Zhang Jian1, Cui Mingjian2, He Yigang3
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Abstract

In this paper, in view of the fact that the traditional aggregation method cannot solve the problem of parameters variation after long-term operation of wind farms, a detailed equivalent model of Doubly Fed Induction Generators (DFIGs) wind farm and initialization method are developed. The trajectory sensitivity of parameters is analyzed. Parameters identification strategy is proposed that the non-time-varying parameters are fixed as aggregated values, while the Genetic Learning Particle Swarm Optimization (GLPSO) hybrid algorithm is used to identify time-varying parameters based on Phasor Measurement Unit (PMU) data at the common interconnection point of wind farm. The robustness and adaptability of the equivalent model of DFIG wind farm under different wind speeds, wake effects, unknown wind speed, different short-circuit fault locations and voltage sags depth and some DFIGs off-line are analyzed. The simulation results using the Western Electricity Coordinating Council benchmark test system show that the global searching capability to find the optimal solution of the proposed method is much higher than that of canonical particle swarm optimization (PSO) and genetic algorithm (GA). Further, the maximum deriation between the identification results using the proposed method and the true values is less than 10% with high sensitivity parameters, which is much better than previous state-of-art work.

Key words

DFIG / equivalent model of wind farm / parameter identification / trajectory sensitivity / impedance of distribution grid / power system

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Zhang Jian, Cui Mingjian, He Yigang. ROBUSTNESS AND ADAPTABILITY ANALYSIS OF EQUIVALENT MODEL OF DFIG WIND FARM BASED ON MEASURED DATA OF PMU[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 320-328 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0867

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