Abstract
With the increase of installed wind power capacity, the contribution of wind power curtailment to power balancing becomes more relevant. Determining the available power during curtailment at the wind farm level is not trivial, as curtailment changes the wake effects in a wind farm. Current best practice to estimate the available power is to sum the available power calculated by every wind turbine. However, during curtailment the changed local wind conditions at the wind turbines lead to inaccurate results at the wind farm level. This paper presents an algorithm to determine the available power of a wind farm during curtailment. Moreover, results of curtailment experiments are discussed that were performed on nearshore wind farm Westermeerwind to validate the algorithm. For the case where a single turbine is being curtailed, it is shown that the algorithm reduces the estimation error for the first downstream turbine significantly. Further development of the algorithm is required for accurate estimation of the second turbine. All further downstream turbines did not experience a change in wake conditions.
Highlights
The electricity market is currently experiencing a paradigm shift from a market dominated by generators running on fossil fuels, towards a more varied market with multiple renewable power sources
When curtailing the leading turbine, the second turbine experiences an increase in power production due to the reduced wake effect; the third turbine has a decrease in power production smaller than that increase and all further downstream turbines have no significant change in power production
Determining the available power of a wind farm during curtailed operation is complicated as the wake losses are different than during normal operation
Summary
The electricity market is currently experiencing a paradigm shift from a market dominated by generators running on fossil fuels, towards a more varied market with multiple renewable power sources. Wind power plays an important role in this transition. Notwithstanding the benefits of wind power, the transition poses new challenges concerning the power balance in the electrical system. These challenges are mostly related to the variability and partial unpredictability of wind power. [1] This makes it difficult for the power supply to follow the demand, both on the short-term and long-term. From the two cases of power imbalances that can be identified — either the supply being higher than the demand, or vice versa — this research considers a surplus of power production. A method of mitigating this surplus is to (temporarily) reduce the power production
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