DEM: Direct estimation method for photovoltaic maximum power point tracking

Jieming Ma; K. L. Man; T. O. Ting; N. Zhang; Sheng Uei Guan; Prudence W.H. Wong

doi:10.1016/j.procs.2013.05.069

DEM: Direct estimation method for photovoltaic maximum power point tracking

Jieming Ma, K. L. Man, T. O. Ting^*, N. Zhang, Sheng Uei Guan, Prudence W.H. Wong

^*Corresponding author for this work

University of Liverpool

Research output: Contribution to journal › Conference article › peer-review

16 Citations (Scopus)

Abstract

Since the electrical characteristics of a Photovoltaic (PV) Module vary with the changing atmospheric conditions, researchers have shown an increasing interest in Maximum Power Point Tracking (MPPT) approaches. This paper presents a direct Maximum Power Point (MPP) estimation method derived from the mathematical expressions of the Current-Voltage (I-V) characteristics of a PV module. Simulation results demonstrate that the proposed approach is sufficiently accurate for practical applications.

Original language	English
Pages (from-to)	537-544
Number of pages	8
Journal	Procedia Computer Science
Volume	17
DOIs	https://doi.org/10.1016/j.procs.2013.05.069
Publication status	Published - 2013
Event	1st International Conference on Information Technology and Quantitative Management, ITQM 2013 - Suzhou, China Duration: 16 May 2013 → 18 May 2013

Keywords

MPP estimation
Maximum Power Point (MPP)
Photovoltaic (PV)

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10.1016/j.procs.2013.05.069

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title = "DEM: Direct estimation method for photovoltaic maximum power point tracking",

abstract = "Since the electrical characteristics of a Photovoltaic (PV) Module vary with the changing atmospheric conditions, researchers have shown an increasing interest in Maximum Power Point Tracking (MPPT) approaches. This paper presents a direct Maximum Power Point (MPP) estimation method derived from the mathematical expressions of the Current-Voltage (I-V) characteristics of a PV module. Simulation results demonstrate that the proposed approach is sufficiently accurate for practical applications.",

keywords = "MPP estimation, Maximum Power Point (MPP), Photovoltaic (PV)",

author = "Jieming Ma and Man, {K. L.} and Ting, {T. O.} and N. Zhang and Guan, {Sheng Uei} and Wong, {Prudence W.H.}",

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language = "English",

volume = "17",

pages = "537--544",

journal = "Procedia Computer Science",

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TY - JOUR

T1 - DEM

T2 - 1st International Conference on Information Technology and Quantitative Management, ITQM 2013

AU - Ma, Jieming

AU - Man, K. L.

AU - Ting, T. O.

AU - Zhang, N.

AU - Guan, Sheng Uei

AU - Wong, Prudence W.H.

PY - 2013

Y1 - 2013

N2 - Since the electrical characteristics of a Photovoltaic (PV) Module vary with the changing atmospheric conditions, researchers have shown an increasing interest in Maximum Power Point Tracking (MPPT) approaches. This paper presents a direct Maximum Power Point (MPP) estimation method derived from the mathematical expressions of the Current-Voltage (I-V) characteristics of a PV module. Simulation results demonstrate that the proposed approach is sufficiently accurate for practical applications.

AB - Since the electrical characteristics of a Photovoltaic (PV) Module vary with the changing atmospheric conditions, researchers have shown an increasing interest in Maximum Power Point Tracking (MPPT) approaches. This paper presents a direct Maximum Power Point (MPP) estimation method derived from the mathematical expressions of the Current-Voltage (I-V) characteristics of a PV module. Simulation results demonstrate that the proposed approach is sufficiently accurate for practical applications.

KW - MPP estimation

KW - Maximum Power Point (MPP)

KW - Photovoltaic (PV)

UR - http://www.scopus.com/inward/record.url?scp=84893009745&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2013.05.069

DO - 10.1016/j.procs.2013.05.069

M3 - Conference article

AN - SCOPUS:84893009745

SN - 1877-0509

VL - 17

SP - 537

EP - 544

JO - Procedia Computer Science

JF - Procedia Computer Science

Y2 - 16 May 2013 through 18 May 2013

ER -

DEM: Direct estimation method for photovoltaic maximum power point tracking

Abstract

Keywords

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