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Abstract
Nowadays, wind power has become one of the fastest growing sources of electricity
in the world. Due to the inherent variability and uncertainty, wind power
integration into the grid brings challenges for power systems, particularly when
the wind power penetration level is high. The challenges exist in many aspects,
such as reliability, power quality and stability. With the rapid development of
energy storage technology, the application of Energy Storage System (ESS) is
considered as an effective solution to handle the aforementioned challenges.
The main objective of this study is to investigate the coordinated control of wind
power and ESS. Due to the different technical characteristics, such as power and
energy density, ESS can play different roles either in generation-side, grid-side
or demand side. This thesis focuses on the following two scenarios:• Scenario 1: As a part of wind farm, the ESS plays a generation-side role
which aims to improve the grid-friendliness of the wind farm. • Scenario 2: As a part of microgrid, the ESS is used to efficiently accommodate
the wind power fluctuation.Around the main objective, the relevant research fields including the wind turbine
modeling and control, wind farm modeling and control, planning of ESS
are also studied in this thesis.
The implementation and validation of the International Electrotechnical Commission
(IEC) generic Type 1A are presented in this thesis. It is shown that the implemented IEC generic Type 1 models in PowerFactory (PF) can represent
the relevant dynamics during normal operation and fault conditions. The model
against measurements validation was carried out to verify the implemented wind
turbine generator model.
For the wind turbine control strategy, the L1 adaptive controller for Maximum
Power Point Tracking (MPPT) of a small variable speed Wind Energy Conversion
System (WECS) is developed. It showed good tracking performance
towards the optimum Tip Speed Ratio (TSR) and robustness with fast adaptation
to uncertainties and disturbances.
For the wind farm control, the optimal active power control based on Distributed
Model Predictive Control (D-MPC) is proposed. With the developed D-MPC,
most of computation tasks are distributed to the local D-MPCs equipped at each
actuator (wind turbine or ESS). This control structure is independent from the
scale of the wind farm.
The algorithms for optimal siting and sizing of ESS in the grid with a significant
penetration of wind power are studied and implemented in a test network. For
the point of view the grid operator, the optimal sizing and siting of ESS are
analyzed, which enhance the controllability and derive the global benefit of the
whole grid.
Original language | English |
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Publisher | Technical University of Denmark, Department of Electrical Engineering |
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Number of pages | 270 |
Publication status | Published - 2014 |
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Dive into the research topics of 'Coordinated control of wind power and energy storage'. Together they form a unique fingerprint.Projects
- 1 Finished
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Coordinated Control of Wind Power Plants and Energy Storage Systems
Zhao, H. (PhD Student), Rasmussen, C. N. (Supervisor), Træholt, C. (Examiner), Zhang, B. (Examiner), Pöller, M. (Examiner) & Wu, Q. (Main Supervisor)
Technical University of Denmark
15/10/2011 → 27/02/2015
Project: PhD