Picture of UK Houses of Parliament

Leading national thinking on politics, government & public policy through Open Access research

Strathprints makes available scholarly Open Access content by researchers in the School of Government & Public Policy, based within the Faculty of Humanities & Social Sciences.

Research here is 1st in Scotland for research intensity and spans a wide range of domains. The Department of Politics demonstrates expertise in understanding parties, elections and public opinion, with additional emphases on political economy, institutions and international relations. This international angle is reflected in the European Policies Research Centre (EPRC) which conducts comparative research on public policy. Meanwhile, the Centre for Energy Policy provides independent expertise on energy, working across multidisciplinary groups to shape policy for a low carbon economy.

Explore the Open Access research of the School of Government & Public Policy. Or explore all of Strathclyde's Open Access research...

Collective control of a cluster of stall regulated wind turbines

Hur, S. and Leithead, W. E. (2012) Collective control of a cluster of stall regulated wind turbines. In: International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012). IEEE, Piscataway, NJ, United States, pp. 1-8. ISBN 9781849196734

Full text not available in this repository.Request a copy from the Strathclyde author

Abstract

Collective control of a small cluster of wind turbines using a single controller is investigated to enable simplification of the turbines. For simplicity, reduced cost, and possibly improved reliability, each turbine is constant speed stall regulated. In return, each turbine experiences reduced energy capture and increased loads, and these disadvantages become greater as the number of wind turbines in the cluster increases. In this paper, a cluster consisting of 5 turbines is assessed in comparison to the situation with each turbine having its own converter and controller. A new collective control strategy that acts in response to the poorest control is proposed as opposed to acting in response to the average control. The control strategy is applied to a cluster model, which is also developed in this paper by modifying a Matlab/SIMULINK® simulation model of the SUPERGEN 5MW exemplar wind turbine, and simulation results demonstrate that the control strategy could be more cost effective than each turbine having its own converter and controller, especially with optimal design of rotors.