| 1. |
- Kristalny, Maxim, et al.
(author)
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Decentralized Feedforward Control of Wind Farms: Prospects and Open Problems
- 2011
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Conference paper (peer-reviewed)abstract
- The problem of load mitigation in wind turbines located in wind farms is addressed. The benefits of letting turbines communicate with and account for their neighbors are explored. First, the idea of exploiting previewed wind speed measurements is examined. The problem is formulated as an H 2 model matching optimization. The influence of preview length on the performance is analyzed and simulation results are presented. Then, the possibility of cooperation between turbines is studied within a distributed feedforward control scheme. The problem is formulated as a decentralized model matching optimization and several theoretical challenges associated with it are outlined. An approximate frequency domain solution and preliminary simulation results are presented.
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| 2. |
- Madjidian, Daria, et al.
(author)
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A Distributed Power Coordination Scheme for Fatigue Load Reduction in Wind Farms
- 2011
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In: ; , s. 5219-5224
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Conference paper (peer-reviewed)abstract
- Wind turbines operating in wind farms are coupled by the wind flow. This coupling results in increased turbulence levels for downwind turbines, and consequently higher maintenance costs. In this paper, we consider a scenario where a wind farm is asked to produce less than maximum power. The objective is to minimize fatigue loads on the turbines, while maintaining the desired power production. We show how this can be achieved by coordinating neighboring turbines. The result is a control structure where each turbine only need to communicate with a limited set of neighboring turbines. Moreover, the synthesis of the controllers is also distributed.
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| 3. |
- Madjidian, Daria, et al.
(author)
-
A Stationary Turbine Interaction Model for Control of Wind Farms
- 2011
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Conference paper (peer-reviewed)abstract
- Turbines operating in wind farms are coupled by the wind flow. This coupling results in limited power production and increased fatigue loads on turbines operating in the wake of other turbines. To operate wind farms cost effectively, it is important to understand and address these effects. In this paper, we derive a stationary model for turbine interaction. The model has a simple intuitive structure, and the parameters a clear interpretation. Moreover, the effect of upwind turbines on a downwind turbine can be completely determined through information from its closest neighbor. This makes the model well suited for distributed control. In an example, we increase total power production in a farm, by coordinating the individual power production of the turbines. The example points to an interesting model property: decreasing power in an upwind turbine can lead to a larger and larger increase in available power downwind.
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