Torsional torque suppression of decentralized generators using LQR obsever with parameter identification
- Authors
- Goya, T.[Goya, T.]; Omine, E.[ Omine, E.]; Senjyu, T.[ Senjyu, T.]; Tokudome, M.[ Tokudome, M.]; Yona, A.[ Yona, A.]; Urasaki, N.[ Urasaki, N.]; Funabashi, T.[ Funabashi, T.]; Kim, C.-H.[Kim, C.-H.]
- Issue Date
- 2009
- Keywords
- Decentralized generator; Micro-grid; Parameter identification; Shaft torque observation; Torsional torque suppression; Wind turbine
- Citation
- IEEE International Symposium on Industrial Electronics, pp.2109 - 2114
- Journal Title
- IEEE International Symposium on Industrial Electronics
- Start Page
- 2109
- End Page
- 2114
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/79486
- DOI
- 10.1109/ISIE.2009.5218568
- Abstract
- The output power fluctuation of renewable energy power plants such as wind turbine generator and photovoltaic system result in frequency deviation and terminal voltage fluctuation. Furthermore, these power fluctuations also affect the turbine shafting of diesel generator and gas-turbine generators which are the main power generation systems in isolated islands. This paper presents a control strategy that achieves torsional torque suppression and power system stabilization. Since the measurement of torsional torque is difficult technically, and there is uncertainty in mechanical constants of the shaft torsional system, the torsional torque is estimated by using LQR observer with parameter identification system. The simulation results validate the effectiveness of the proposed control system. ©2009 IEEE.
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Collections - Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles
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