Abstract
Currently, wind farms are operated with the
primary control objective to maximise power generation. As the
penetration of wind energy rises, this strategy may no longer
be feasible, especially if government subsidies are reduced. In
such a scenario, wind farm flow control (WFFC) can offer wind
farm operators additional flexibility to maximise profits. For
example, if electricity prices fall operators could curtail power
generation in favour of load reduction strategies. To date, the
lack of convincing evidence for the economic case for WFFC
has prevented its widespread adoption. This paper addresses
this by introducing a set of showcases that researchers within
the WFFC community can use to assess the positive impact
of their control strategies. These showcases are based on
the TotalControl Reference Wind Power Plant with weather
simulation data and estimated electricity prices for both 2020
and 2030, provided courtesy of the DTU Balancing Tool Chain.
With this data, researchers can evaluate the performance of
their control algorithms using an internationally recognised
tool.
primary control objective to maximise power generation. As the
penetration of wind energy rises, this strategy may no longer
be feasible, especially if government subsidies are reduced. In
such a scenario, wind farm flow control (WFFC) can offer wind
farm operators additional flexibility to maximise profits. For
example, if electricity prices fall operators could curtail power
generation in favour of load reduction strategies. To date, the
lack of convincing evidence for the economic case for WFFC
has prevented its widespread adoption. This paper addresses
this by introducing a set of showcases that researchers within
the WFFC community can use to assess the positive impact
of their control strategies. These showcases are based on
the TotalControl Reference Wind Power Plant with weather
simulation data and estimated electricity prices for both 2020
and 2030, provided courtesy of the DTU Balancing Tool Chain.
With this data, researchers can evaluate the performance of
their control algorithms using an internationally recognised
tool.