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Title: Power network support using wind turbines with embedded energy storage
Author: Xu , Guoyi
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2013
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Wind energy has been widely used around the world, but there are still many problems associated with the operation of the wind turbines. The increase penetration of wind power in power system further brings new challenges for the transmission system operators. The grid codes now require the wind turbines have a high quality output power and can be operated to provide network support in similar ways as for conventional generators. To improve the performance of the wind turbines and provide network support, extra energy is required. In order not to disturb the operation of wind turbines, small energy storage systems are connected to fully rated converter based wind turbines to improve their performance. Coordinate DC voltage control methods of the line side converter and energy storage system are investigated to provide power smoothing of the wind turbine output power. Wind turbines are also expected to provide damping to system. As system oscillation is often induced by AC faults, it is desirable for the wind turbines to ride through the fault first and then provide a damping effect. During the fault period, the energy storage system is controlled to assist the fault ride through process, and the line side converter is controlled to provide AC voltage support in accordance with grid code. Methods based 'on regulating the active power output of energy storage system and reactive power of line side converter is proposed to enhance power system damping. Assessment of variable speed wind turbine's inertial response for power system frequency support is made, and an improved control method to carry out inertial response is proposed. The embedded energy storage system helps smooth the wind turbine 's rotor speed transition from acceleration to deceleration while carrying out inertial response. The frequency support effect with AC and DC connected wind farms is studied.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available