Ahmad, T. and Matthews, P.C. and Kazemtabrizi, B. (2015) 'Dynamic wind farm controller.', 11th EAWE PhD Seminar on Wind Energy in Europe. Stuttgart, Germany, 22-25 September 2015.
This work presents a dynamic wind farm controller for maximising power output of a wind farm. The controller uses a coordinated control approach where the output of the upstream turbines is varied to minimise wake effects on the downstream turbines. The speed deficit due to wakes is calculated using a modified version of the Jensen wake flow model. This model gives the wind speed at different locations in the wind farm. Particle Swarm Optimisation (PSO) is used to generate different sets of coefficients of power (CP) for all the turbines and select the one which results in maximum farm output. The Brazos wind farm is used as a case study. The controller optimises a row of seven wind turbines in less than 5 seconds and increases the farm output by 9%. High computational efficiency and accuracy make the proposed controller very suitable for practical implementation in industry.
|Item Type:||Conference item (Paper)|
|Full text:||(AM) Accepted Manuscript|
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|Publisher Web site:||http://www.eawe.eu/index.php/about/downloads|
|Date accepted:||25 September 2015|
|Date deposited:||17 March 2016|
|Date of first online publication:||2015|
|Date first made open access:||No date available|
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