| Summary: | This paper presents, with a live field experiment, the potential of increasing wind farm power generation by optimally yawing upstream wind turbine for reducing wake effects as a part of the SmartEOLE project. Two 2MW turbines from the Le Sole de Moulin Vieux (SMV) wind farm are used for this purpose. The upstream turbine (SMV6) is operated with a yaw offset (<inline-formula> <math display="inline"> <semantics> <mi>α</mi> </semantics> </math> </inline-formula>) in a range of <inline-formula> <math display="inline"> <semantics> <mrow> <mo>−</mo> <mn>12</mn> </mrow> </semantics> </math> </inline-formula>° to 8° for analysing the impact on the downstream turbine (SMV5). Simulations are performed with intelligent control strategies for estimating optimum <inline-formula> <math display="inline"> <semantics> <mi>α</mi> </semantics> </math> </inline-formula> settings. Simulations show that optimal <inline-formula> <math display="inline"> <semantics> <mi>α</mi> </semantics> </math> </inline-formula> can increase net production of the two turbines by more than 5%. The impact of <inline-formula> <math display="inline"> <semantics> <mi>α</mi> </semantics> </math> </inline-formula> on SMV6 is quantified using the data obtained during the experiment. A comparison of the data obtained during the experiment is carried out with data obtained during normal operations in similar wind conditions. This comparison show that an optimum or near-optimum <inline-formula> <math display="inline"> <semantics> <mi>α</mi> </semantics> </math> </inline-formula> increases net production by more than 5% in wake affected wind conditions, which is in confirmation with the simulated results.
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