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Dynamic characteristics of autonomous wind–diesel systems

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  • Papathanassiou, Stavros A
  • Papadopoulos, Michael P

Abstract

In this paper the dynamics of a small autonomous system, comprising a diesel generator and a wind turbine, are investigated. The analysis is performed both in the frequency and time domain, using simplified models of the system components and taking into account the diesel engine speed governor and the wind turbine pitch controller (for pitch regulated machines). The investigation is extended to include different types of wind turbines, equipped with induction or synchronous generator and using pitch or stall regulation, as well as operation of the wind turbine in an autonomous or infinite system. The objective is to determine the main factors affecting the behaviour of the system and to illustrate the effect of the speed governor and pitch controller settings on the expected performance. Particular emphasis is placed on identifying the main modes of the system and determining their dependence on the controllers' parameters. A comparative assessment of the dynamic characteristics of different types of wind turbines is also included and the operation of the wind turbine in a small system and against an infinite bus is addressed and discussed.

Suggested Citation

  • Papathanassiou, Stavros A & Papadopoulos, Michael P, 2001. "Dynamic characteristics of autonomous wind–diesel systems," Renewable Energy, Elsevier, vol. 23(2), pages 293-311.
  • Handle: RePEc:eee:renene:v:23:y:2001:i:2:p:293-311
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    References listed on IDEAS

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    1. Bhatti, T.S. & Al-Ademi, A.A.F. & Bansal, N.K., 1997. "Load-frequency control of isolated wind-diesel-microhydro hybrid power systems (WDMHPS)," Energy, Elsevier, vol. 22(5), pages 461-470.
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    Cited by:

    1. Jurado, Francisco & Saenz, José R., 2003. "An adaptive control scheme for biomass-based diesel–wind system," Renewable Energy, Elsevier, vol. 28(1), pages 45-57.
    2. Jurado, Francisco & Saenz, José R., 2002. "Possibilities for biomass-based power plant and wind system integration," Energy, Elsevier, vol. 27(10), pages 955-966.
    3. Jurado, Francisco & Saenz, José R, 2002. "Neuro-fuzzy control for autonomous wind–diesel systems using biomass," Renewable Energy, Elsevier, vol. 27(1), pages 39-56.
    4. Pablo Jimenez Zabalaga & Evelyn Cardozo & Luis A. Choque Campero & Joseph Adhemar Araoz Ramos, 2020. "Performance Analysis of a Stirling Engine Hybrid Power System," Energies, MDPI, vol. 13(4), pages 1-38, February.
    5. Datta, Manoj & Senjyu, Tomonobu & Yona, Atsushi & Funabashi, Toshihisa, 2011. "A fuzzy based method for leveling output power fluctuations of photovoltaic-diesel hybrid power system," Renewable Energy, Elsevier, vol. 36(6), pages 1693-1703.
    6. Sebastián, R. & Quesada, J., 2006. "Distributed control system for frequency control in a isolated wind system," Renewable Energy, Elsevier, vol. 31(3), pages 285-305.

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