Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 11, Issue 2, Pages 894-905Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2019.2912037
Keywords
Wind farm model order reduction; Iterative Rational Krylov Algorithm (IRKA); Trajectory Piecewise Linear
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Funding
- Indonesia Endowment Fund for Education scholarship, Ministry of Finance, The Republic of Indonesia
- Offshore HVDC project from GE Grid Solutions, Stafford, U.K [RDA/R1089/160817/KV/ICL]
- U.K.-China research grant on Stability and Control of Power Networks with Energy Storage (STABLE-NET) - Research Council U.K. Energy Program [EP/L014343/1]
- EPSRC [EP/L014343/1] Funding Source: UKRI
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This paper presents a method to develop computationally efficient dynamic model of a wind farm suitable for large disturbance simulation. The method based on a trajectory piecewise linear approximation uses single and multiple training trajectory to develop a nonlinear reduced order model. Simulation results using a small demonstration wind farm system and a large practical wind farm system are discussed to demonstrate the effectiveness of the model in capturing dynamic behavior of wind farm following large disturbances.
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