Stability Analysis of DFIG-Based Wind Farms using Different Bus Systems
Mustafa Jawad Kadhim1, D.S.Chavan2
1Mustafa Jawad Kadhim, M.Tech Student, Department of Electrical Power Systems, Bharati Vidyapeeth Deemed University, College of Engineering, Pune, (Maharashtra), India.
2Prof. D.S. Chavan, Associate Professor, Co-Ordinator R&D Cell, Co Ordinator PH.D. Programme Management, Bharati Vidyapeeth Deemed University, College of Engineering, Pune (Maharashtra), India.
Manuscript received on 12 March 2013 | Revised Manuscript received on 21 March 2013 | Manuscript Published on 30 March 2013 | PP: 186-190 | Volume-2 Issue-4, March 2013 | Retrieval Number: D0595032413/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper shows an overview of the power system stability of DFIG based wind farms and conventional synchronous generator. For the optimized computation, the reduced order DFIG model was used in order to restrict calculation to the fundamental frequency component. It depends on accurate model of DFIG wind generator, modal analysis, PV curves, as well as time domain simulations could be used to study the effect on system stability of replacing conventional generation by DFIG-based wind generation on the IEEE 14-bus, IEEE 30-bus, IEEE 18-bus benchmark system, for fixed power factor and voltage control operation. This paper presents the block diagram of IEEE 14 bus system by using Wind Turbine. This paper indicates that the oscillatory behavior associated with the dominant mode of the synchronous generator, is improved when the DFIG-based wind turbine is connected to the system; this improvement in the damping ratios is more evident when the wind turbines are operated with terminal voltage control.
Keywords: Power System, IEEE 14 Bus System, IEEE 18 Bus System, Stability, Wind Power Generation, Time Domain, Power Flow Analysis, PSAT.
Scope of the Article: Predictive Analysis