Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12097
Title: Coordinated damping control design for DFIG-based wind generation considering power output variation
Authors: Huang, H
Chung, CY
Keywords: Double fed induction generator
particle swarm optimization
power system stabilizer
probabilistic small signal stability analysis
Issue Date: 2012
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on power systems, 2012, v. 27, no. 4, 6177706, p. 1916-1925 How to cite?
Journal: IEEE transactions on power systems 
Abstract: To alleviate the impacts of stochastic wind generation on stability performance, this paper proposes a novel control design method for coordination and synthesis of damping controllers for conventional synchronous generators (SG) and double fed induction generators (DFIG)-based wind generation in multi-machine power systems. A probabilistic model of wind generation under Weibull distribution of wind speed is first introduced. Based on this model, an extended probabilistic small signal stability analysis (SSSA) incorporating wind power generation is proposed for handling probability density function (PDF) of its power output. The optimization problem for tuning of damping controllers is then formulated, considering the cumulative distribution function (CDF) of the real part and damping ratio of eigenvalues obtained by the proposed probabilistic SSSA as stability constraints. Particle swarm optimization (PSO) is used to solve the optimization problem and to determine parameters of damping controllers. The effectiveness of the proposed method is demonstrated on the modified New England power system with multi-wind farms through probabilistic SSSA and transient stability analysis, and it is compared with conventional deterministic methods. Accuracy of the proposed probabilistic SSSA is also validated by Monte Carlo simulations (MCS).
URI: http://hdl.handle.net/10397/12097
ISSN: 0885-8950
EISSN: 1558-0679
DOI: 10.1109/TPWRS.2012.2190110
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