A statistical analysis of Cape Town wind profile

Mbuyamba Tshibanda; Jan Harm C. Pretorius

doi:10.1109/AFRCON.2013.6757612

A statistical analysis of Cape Town wind profile

Mbuyamba Tshibanda
, Jan Harm C. Pretorius

Postgraduate School of Engineering Management

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The increased integration of wind power into electric power systems presents new challenges for effective planning and operation of these systems. The Weibull distribution is a widely used distribution, especially for modelling the random variable of wind speed. In this respect, the authors present a comparative analysis of a number of methods used for estimating Weibull parameters. Results for a real-world database are presented in a case study format. The techniques require historical wind speed data, collected over a particular time interval, to establish the parameters of wind speed distribution for a specific location, namely Cape Town, South Africa.

Original language	English
Title of host publication	IEEE AFRICON 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781467359405
DOIs	https://doi.org/10.1109/AFRCON.2013.6757612
Publication status	Published - 2013
Event	IEEE AFRICON 2013 - Pointe-Aux-Piments, Mauritius Duration: 9 Sept 2013 → 12 Sept 2013

Publication series

Name	IEEE AFRICON Conference
ISSN (Print)	2153-0025
ISSN (Electronic)	2153-0033

Conference

Conference	IEEE AFRICON 2013
Country/Territory	Mauritius
City	Pointe-Aux-Piments
Period	9/09/13 → 12/09/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Weibull distribution
Wind speed data
probability density function
wind energy

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/AFRCON.2013.6757612

Cite this

@inproceedings{d537a5b7b286482e9ed6b162b6203731,

title = "A statistical analysis of Cape Town wind profile",

abstract = "The increased integration of wind power into electric power systems presents new challenges for effective planning and operation of these systems. The Weibull distribution is a widely used distribution, especially for modelling the random variable of wind speed. In this respect, the authors present a comparative analysis of a number of methods used for estimating Weibull parameters. Results for a real-world database are presented in a case study format. The techniques require historical wind speed data, collected over a particular time interval, to establish the parameters of wind speed distribution for a specific location, namely Cape Town, South Africa.",

keywords = "Weibull distribution, Wind speed data, probability density function, wind energy",

author = "Mbuyamba Tshibanda and Pretorius, \{Jan Harm C.\}",

year = "2013",

doi = "10.1109/AFRCON.2013.6757612",

language = "English",

isbn = "9781467359405",

series = "IEEE AFRICON Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IEEE AFRICON 2013",

address = "United States",

note = "IEEE AFRICON 2013 ; Conference date: 09-09-2013 Through 12-09-2013",

}

TY - GEN

T1 - A statistical analysis of Cape Town wind profile

AU - Tshibanda, Mbuyamba

AU - Pretorius, Jan Harm C.

PY - 2013

Y1 - 2013

N2 - The increased integration of wind power into electric power systems presents new challenges for effective planning and operation of these systems. The Weibull distribution is a widely used distribution, especially for modelling the random variable of wind speed. In this respect, the authors present a comparative analysis of a number of methods used for estimating Weibull parameters. Results for a real-world database are presented in a case study format. The techniques require historical wind speed data, collected over a particular time interval, to establish the parameters of wind speed distribution for a specific location, namely Cape Town, South Africa.

AB - The increased integration of wind power into electric power systems presents new challenges for effective planning and operation of these systems. The Weibull distribution is a widely used distribution, especially for modelling the random variable of wind speed. In this respect, the authors present a comparative analysis of a number of methods used for estimating Weibull parameters. Results for a real-world database are presented in a case study format. The techniques require historical wind speed data, collected over a particular time interval, to establish the parameters of wind speed distribution for a specific location, namely Cape Town, South Africa.

KW - Weibull distribution

KW - Wind speed data

KW - probability density function

KW - wind energy

UR - https://www.scopus.com/pages/publications/84897466852

U2 - 10.1109/AFRCON.2013.6757612

DO - 10.1109/AFRCON.2013.6757612

M3 - Conference contribution

AN - SCOPUS:84897466852

SN - 9781467359405

T3 - IEEE AFRICON Conference

BT - IEEE AFRICON 2013

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE AFRICON 2013

Y2 - 9 September 2013 through 12 September 2013

ER -

A statistical analysis of Cape Town wind profile

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this