Damping sub-synchronous resonance and improving fault ride through capability: Using S.T.A.T.C.O.M. and S.D.B.R. in a wind power system

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 286

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شناسه ملی سند علمی:

JR_EES-8-4_002

تاریخ نمایه سازی: 8 خرداد 1400

چکیده مقاله:

Concerning wind power penetration into power systems in recent years, the problems of incorrect operation of wind turbines include sub-synchronous resonance (S.S.R.) oscillations and fault ride through (F.R.T.) capabilities need to be fully considered and resolved. In this respect, the S.S.R. phenomenon can severely damage the rotor of an asynchronous generator in a compensated power system with capacitive reactance connected to a wind turbine. Therefore, active and reactive powers of the mentioned systems are controlled by static synchronous compensator (S.T.A.T.C.O.M.) and series dynamic braking resistor (S.D.B.R.); respe­ctively. Moreover, power system designers combine them to improve system sta­b­i­lity. In this study, an appropriate method was presented based on the genetic algorithm (G.A.) to provide coordinated and optimal control of STAT­CO­M and S.D.B.R. in order to mitigate S.S.R. and enhance F.R.T. capabilities in a wind far­m connected a power system. Optimization variable of this pro­blem included resistance value of S.D.B.R., S.T.A.T.C.O.M. capability, along with its control parameters optimized simul­tane­ou­s­ly via G.A. to store kinetic energy in the rotor, to control voltage dev­ia­tions of the wind farm bus, and to minimize speed deviations of the rotor. The prop­osed method was implemented on the Institute of Electrical and Electronics Engineers (IEEE) first benchmark model to verify the performance of its control structure. The obtained results indicated that coordinated and optimal combin­ati­o­n of S.T.A.T.C.O.M. and S.D.B.R. could damp S.S.R. oscillations and augment system stability.

نویسندگان

Ehsan Heydari

Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Ghazanfar Shahgholian

Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran

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