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Title: Probabilistic small-signal stability analysis and improved transient stability control strategy of grid-connected doubly fed induction generators in large-scale power systems
Author: Bu, Siqi
ISNI:       0000 0004 2745 3587
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2012
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Growing numbers of large-scale wind farms have been recently established and connected to conventional power grid. With the rising level of penetration, the impact of wind power sources on the grid has extended from simple power quality problems to power grid security and stability, frequency and peak regulation, and economic dispatch issues. Therefore, it has significant theoretical and practical values to comprehensively investigate the effect of grid-connected wind power sources on the power system stability. In order to study the influence of considerable stochastic characteristic of wind power generation, probabilistic analysis of power system small-signal stability has been implemented. An analytical method of probabilistic analysis based on Gram-Charlier expansion is proposed to deal with the stochastic uncertainty and spatial correlation of multiple grid-connected wind power sources. Results of probabilistic stability analysis of the example power system demonstrate that the stochastic fluctuation of wind power generation certainly affects small-signal stability of the power system especially in a stressed load condition. Probabilistic stability changes significantly with the variation of wind power penetration level. Focusing on the examination of mechanism of terminal voltage dip during the grid fault, this thesis then develops an improved flux magnitude and angle control (IFMAC) strategy to enhance the grid fault ride-through (FRT) capability of grid-connected doubly fed induction generators (DFIGs). It is indicated by analysis that the significant increase of DFIG power angle stimulated by grid faults during the transient is the essential reason of DFIG voltage dip. IF MAC scheme is proposed with the aim to control the DFIG power angle. The theoretical analysis has also illustrated that the surrounding power system may benefit prominently in terms of transient stability margin by applying the proposed control strategy. Simulation results of the example system have validated the effectiveness and robustness of IF MAC controller in different operating conditions.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available