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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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Wind turbine power coefficient analysis of a new maximum power point tracking technique

Xia, Yuanye and Ahmed, Khaled and Williams, Barry (2013) Wind turbine power coefficient analysis of a new maximum power point tracking technique. IEEE Transactions on Industrial Electronics, 60 (3). pp. 1122-1132. ISSN 0278-0046

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Abstract

A small-scale wind energy conversion system can track the maximum power point (MPP) based on a linear relationship between $V_{rm dc}^{2}$ and $I_{rm dc}$. Unlike conventional MPP tracking (MPPT) methods using a lookup table, an advanced technique is proposed based on this relationship as a variant of the perturb and observe (P&O) method. It not only has the advantages of the conventional P&O method but also has a faster tracking speed and better performance. This paper theoretically analyzes the possible power coefficient drop when using a linear relationship for MPPT and establishes that the turbine design can ensure that the possible power coefficient drop is small. The simulation results show that the analysis is precise. The validity and performance of the proposed MPPT method are confirmed by both simulation and experimentation.