SAIP2015

A quantum walk-based MPPT optimization algorithm for a stand-alone PV system

1 Jul 2015, 16:10

1h 50m

Board: F.205

Poster Presentation Track F - Applied Physics Poster2

Speaker

Mr Makhamisa Senekane (Quantum Research Group, School of Chemistry and Physics, University of KwaZulu-Natal, Private Bag X54001, Durban 4000, South Africa)

Apply to be<br> considered for a student <br> &nbsp; award (Yes / No)?

No

Please indicate whether<br>this abstract may be<br>published online<br>(Yes / No)

Yes

Main supervisor (name and email)<br>and his / her institution

Prof. Francesco Petruccione (petruccione@ukzn.ac.za),
University of KwaZulu-Natal

Level for award<br>&nbsp;(Hons, MSc, <br> &nbsp; PhD, N/A)?

PhD

Would you like to <br> submit a short paper <br> for the Conference <br> Proceedings (Yes / No)?

Yes

Abstract content <br> &nbsp; (Max 300 words)<br><a href="http://events.saip.org.za/getFile.py/access?resId=0&materialId=0&confId=34" target="_blank">Formatting &<br>Special chars</a>

A novel quantum walk-based maximum power point tracking (MPPT) optimization algorithm for stand-alone photovoltaic (PV) system is proposed in this paper. A quantum walk is a quantization of a classical random walk algorithm. Since a classical random walk has proven to be a very powerful algorithmic tool, it is prudent then to investigate its quantum analogue, namely a quantum walk, for design of algorithms. The paper further provides a numerical analysis of the algorithm in order to determine its suitability as an MPPT optimization algorithm. Simulation results show that this quantum walk-based algorithm can quickly reach maximum power point (MPP), thereby reducing PV system power loss.