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2012 | OriginalPaper | Buchkapitel

Models for Impact Assessment of Wind-Based Power Generation on Frequency Control

verfasst von : Alejandro D. Domínguez-García

Erschienen in: Control and Optimization Methods for Electric Smart Grids

Verlag: Springer New York

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Abstract

This chapter develops a modeling framework for studying the impact of variability and uncertainty in wind-based electricity generation on power system frequency. The focus is on timescales involving governor response (primary frequency control) and automatic generation control (AGC) (secondary frequency control). The framework includes models of synchronous generators, wind-based electricity sources, the electrical network, and the AGC system. The framework can be used to study the impact of different renewable penetration scenarios on system frequency performance metrics. In order to illustrate the framework, a simplified model of the Western Electricity Coordinating Council (WECC) system is developed.

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Vorheriges Kapitel Smart Vehicles in the Smart Grid: Challenges, Trends, and Application to the Design of Charging Stations

Nächstes Kapitel Multi-Dimensional Modal Analysis in Large Power Systems from Ambient Data Based on Frequency-Domain Optimization

U.S. Department of Energy. The smart grid: an introduction [Online]. Available: http://www.oe.energy.gov/smartgrid.htm

Hirst E (2002) Integrating wind output with bulk power operations and wholesale electricity markets. Wind Energ 5(1):19–36CrossRef

Eriksen P, Ackermann T, Abildgaard H, Smith P, Winter W, Garcia JR (2005) System operation with high wind penetration. IEEE Power Energ Mag 3(6):65–74CrossRef

DeMeo E, Jordan G, Kalich C, King J, Milligan M, Murley C, Oakleaf B, Schuerger M (2007) Accommodating wind’s natural behavior. IEEE Power Energ Mag 5(6):59–67CrossRef

Ahlstrom M, Jones L, Zavadil R, Grant W (2005) The future of wind forecasting and utility operations. IEEE Power Energ Mag 3(6):57–64CrossRef

Eto J et al (2010) Use of frequency response metrics to assess the planning and operating requirements for reliable integration of variable renewable generation. Lawrence Berkeley National Laboratory, Technical Report LBNL-4142E, December 2010

Undrill J (2010) Power and frequency control as it relates to wind-powered generation. Lawrence Berkeley National Laboratory, Technical Report LBNL-4143E, December 2010

Martinez C, Xue S, Martinez M (2010) Review of the recent frequency performance of the eastern, western and ercot interconnections. Lawrence Berkeley National Laboratory, Technical Report LBNL-4144E, December 2010

Illian H (2010) Frequency control performance measurement and requirements. Lawrence Berkeley National Laboratory, Technical Report LBNL-4145E, December 2010

10.

Mackin P et al (2010) Dynamic simulations studies of the frequency response of the three U.S. interconnections with increased wind generation. Lawrence Berkeley National Laboratory, Technical Report LBNL-4146E, December 2010

11.

Coughlin K, Eto J (2010) Analysis of wind power and load data at multiple time scales. Lawrence Berkeley National Laboratory, Technical Report LBNL-4147E, December 2010

12.

Debs A (ed) (1988) Modern power systems control and operation. Kluwer Academic Publishers, Boston, MA

13.

Kundur P (1994) Power system stability and control. McGraw Hill Inc, New York

14.

Wood A, Wollenberg B (eds) (1996) Power generation, operation, and control. Wiley, New York

15.

Ilic M, Zaborzky J (eds) (2000) Dynamics and control of large electric power systems. Wiley, New York

16.

Chen YC, Domímguez-García A (2011) Assessing the impact of wind variability on power system small-signal reachability. In: Proceedings of Hawaii international conference on system sciences, Kauai, HI, January 2011

17.

Sauer P, Pai A (1998) Power system dynamics and stability. Prentice Hall, Upper Saddle River, NJ

18.

Pulgar H (2010) Wind farm model for power system stability analysis. Ph.D. Dissertation, University of Illinois at Urbana-Champaign, Urbana, IL

19.

Pulgar-Painemal HA, Sauer PW (2011) Towards a wind farm reduced-order model. Electric Power Systems Research 81(8):1688–1695CrossRef

20.

Ackermann T (2005) Wind power in power systems. Wiley, Chichester, UKCrossRef

21.

Hespanha J (2005) A model for stochastic hybrid systems with application to communication networks. Nonlinear Anal Spec Issue Hybrid Syst 62(8):1353–1383MATHCrossRefMathSciNet

22.

Hespanha J (2007) Modeling and analysis of stochastic hybrid systems. IEE Proc Contr Theor Appl Spec Issue Hybrid Syst 153:520–535CrossRefMathSciNet

Titel: Models for Impact Assessment of Wind-Based Power Generation on Frequency Control
verfasst von: Alejandro D. Domínguez-García
Verlag: Springer New York
Buch: Control and Optimization Methods for Electric Smart Grids
Print ISBN: 978-1-4614-1604-3

Electronic ISBN: 978-1-4614-1605-0

Copyright-Jahr: 2012
DOI: https://doi.org/10.1007/978-1-4614-1605-0_7