dc.contributor.authorWen, Mingxing
dc.contributor.authorRen, Ye
dc.contributor.authorSrikanth, Narasimalu
dc.identifier.citationWen, M., Ren, Y., & Srikanth, N. (2016). Review of Maximum Power Point Tracking Algorithm for Tidal Turbine Generator. Proceedings of 3rd Asian Wave and Tidal Energy Conference 2016 (AWTEC 2016).en_US
dc.description.abstractTidal energy is a clean and environment-friendly energy source. It has many advantages such as sustainability, low initial cost, abundant and highly predictable due to its regular pattern. The working principle of tidal energy conversion system (TECS) is to use the potential and kinetic energy of the ocean waves caused by the celestial gravitation to drive the turbine that is coupled with a generator to produce electricity. However, due to the physical structure of the generator, the power output is closely related with water speed, direction, load amount, etc., which show highly non-linear characteristics. The water speed and direction of the tidal stream are closely related to the moon phase, which can be considered as deterministic factor. However, there are non-deterministic factors such as sea habitat migration, seaweed entanglement, bio-foiling, etc. that can make the power output sub-optimal. In order to extract the maximum potential of tidal power in terms of electricity, the maximum power point (MPP) needs to be monitored and tracked in real time. In this paper, we will review state-of-the-art MPP tracking (MPPT) of TECS such as optimal tip speed ratio (TSR) method, optimum relation based (ORB) method, and perturb and observe (P&O) method. Based on the reviewed methods, we summarize the principles, advantages and limitations of the methods, and show the performance of MPPT based on P&O in TECS with simulated results.en_US
dc.format.extent5 p.en_US
dc.rights© 2016 Asian Wave and Tidal Energy Conference (AWTEC) 2016. This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of 3rd Asian Wave and Tidal Energy Conference 2016 (AWTEC 2016), Asian Wave and Tidal Energy Conference (AWTEC) 2016. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.en_US
dc.subjectTidal Energy Conversion Systemen_US
dc.titleReview of Maximum Power Point Tracking Algorithm for Tidal Turbine Generatoren_US
dc.typeConference Paper
dc.contributor.conferenceProceedings of 3rd Asian Wave and Tidal Energy Conference 2016 (AWTEC 2016)en_US
dc.contributor.researchEnergy Research Institute @NTUen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.versionAccepted versionen_US

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