Mittal, P and Kulkarni, K and Mitra, Kishalay
(2015)
A Novel and Efficient Hybrid Optimization Approach for Wind Farm Micro-siting.
IFAC papers online, 48 (8).
pp. 397-402.
ISSN 1474-6670
Abstract
Due to increasing penetration of wind energy in the recent times, wind farm owners tend to
generate increasing amount of energy out o
f wind fa
rms. In order to meet targets, many wind farms are
operated with a layout of numerous turbines placed close to each other in a limited area leading to greater
energy losses due to ‘wake effects’ instead of generating more power. To solve the probl
em in the most
optimal way, these turbines need to satisfy many other constraints such as topological constraints,
minimum allowable capacity factors, inter
-
turbine distances etc. Existing methods to solve this complex
turbine placement problem typically a
ssume knowledge about the total number of turbines to be placed in
the farm, which might be unrealistic. This study proposes a novel hybrid optimization methodology, a
combination of evolutionary and clas
sical optimization approaches
, to simultaneously det
ermine the
optimum number of turbines to be placed in a wind farm along with their optimal locations. Application
of the proposed method on a representative case study yields 43% higher Annual Energy Production
(AEP) than the results found by one of the ex
isting methods.
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