• Title/Summary/Keyword: Dumpload

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Power Quality Control of Hybrid Wind Power Systems using Robust Tracking Controller

  • Ko, Heesang;Yang, Su-Hyung;Lee, Young Il;Boo, Chang-Jin;Lee, Kwang Y.;Kim, Ho-Chan
    • Journal of Electrical Engineering and Technology
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    • v.10 no.2
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    • pp.688-698
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    • 2015
  • This paper presents a modeling and a controller design for a hybrid wind turbine generator, especially with an operating mode of battery energy-storage system and a dumpload that contribute to the frequency control of the system while diesel-synchronous unit is not in operation. The proposed control scheme is based on a robust tracking controller, which takes an account of system uncertainties due to the wind flow and load variations. In order to provide robustness for system uncertainties, the range of operation is partitioned into three operating conditions as sub-models in the controller design. In the simulation study, the proposed robust tracking controller (RTC) is compared with the conventional proportional-integral (PI) controller. Simulation results show that the effectiveness of the RTC against disturbances caused by wind speed and load variation. Thus, better quality of the hybrid wind power system is achieved.

Multi-agent Control for Wind Hybrid Power Systems (풍력 복합발전 시스템을 위한 멀티에이전트 제어)

  • Kang, Seung-Jin;Ko, Hee-Sang;Boo, Chang-Jin;Kim, Ho-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.12
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    • pp.7451-7458
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    • 2014
  • In this paper, the system modeling and multi-agent control algorithm in isolated wind hybrid power systems are proposed. The multi-agent control is a new type of the hybrid control method that is made up of wind turbine, diesel generator, battery, and dumpload. Fourteen different modes of operations of the wind hybrid power system are performed by wind speed changes and the SOC of battery. Simulation results show that the efficient operations under various wind variations in isolated wind hybrid power systems can be obtained using proposed algorithms.