Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days

T. O. Ting*, K. L. Man, Sheng Uei Guan, J. K. Seon, T. T. Jeong, Prudence W.H. Wong

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

9 Citations (Scopus)

Abstract

The atmospheric conditions such as environmental temperature T and irradiance G are inputs to PhotoVoltaic (PV) arrays. Both inputs change the P-V characteristic curve and thereby shift the operating point from the Maximum Power Point (MPP). In order to adjust such a shifted point to optimal, a MPPT method based on our Weightless Swarm Algorithm (WSA) is proposed in this paper and implemented on the Solarex MSX60 PV module. The optimization model is formulated and presented in this paper. Simulation results show that conventional methods such as P&O and IncCond fail to track the MPP efficiently on cloudy days whereby irradiance G changes abruptly. On the other hand, our proposed WSA is able to overcome this limitation with a little extra processing time.

Original languageEnglish
Title of host publication2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012
Pages336-339
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012 - Kaohsiung, Taiwan, Province of China
Duration: 2 Dec 20125 Dec 2012

Publication series

NameIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Conference

Conference2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period2/12/125/12/12

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