Challenges for Probabilistic Generation Adequacy Assessment in Sub-Saharan Africa

Gruffudd Edwards; Christopher Dent; Neal Wade

doi:10.1109/PESGM.2017.8274574

Challenges for Probabilistic Generation Adequacy Assessment in Sub-Saharan Africa

Gruffudd Edwards, Christopher Dent, Neal Wade

School of Mathematics

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

Abstract / Description of output

This paper explores the need for, and challenges associated with the probabilistic assessment of the generation adequacy of power systems in Sub-Saharan Africa, using Kenya and Ghana as examples. Some relevant distinctive characteristics of these systems are discussed, and previous work in this area is reviewed. Illustrative data analysis for the future Kenyan system is presented, exploring the temporal relationship between the wind power resource, demand, and the hydro power resource – to provide insight on the potential contribution of large wind projects to generation adequacy.

Original language	English
Title of host publication	Power & Energy Society General Meeting, 2017 IEEE
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	5
ISBN (Electronic)	978-1-5386-2212-4
ISBN (Print)	978-1-5386-2213-1
DOIs	https://doi.org/10.1109/PESGM.2017.8274574
Publication status	Published - 1 Feb 2018
Event	2017 IEEE PES General Meeting - Chicago, United States Duration: 16 Jul 2017 → 20 Jul 2017

Conference

Conference	2017 IEEE PES General Meeting
Country/Territory	United States
City	Chicago
Period	16/07/17 → 20/07/17

Access to Document

10.1109/PESGM.2017.8274574

Gruffudd_Edwards_PES_2017Accepted author manuscript, 754 KBLicence: Creative Commons: Attribution (CC-BY)

http://ieeexplore.ieee.org/document/8274574/

Green Growth Diagnostics for Africa
Dent, C.
EPSRC
12/09/16 → 31/01/17
Project: Research

Cite this

@inproceedings{aead671f83ef46cd98bfc339a979c0c1,

title = "Challenges for Probabilistic Generation Adequacy Assessment in Sub-Saharan Africa",

abstract = "This paper explores the need for, and challenges associated with the probabilistic assessment of the generation adequacy of power systems in Sub-Saharan Africa, using Kenya and Ghana as examples. Some relevant distinctive characteristics of these systems are discussed, and previous work in this area is reviewed. Illustrative data analysis for the future Kenyan system is presented, exploring the temporal relationship between the wind power resource, demand, and the hydro power resource – to provide insight on the potential contribution of large wind projects to generation adequacy.",

author = "Gruffudd Edwards and Christopher Dent and Neal Wade",

year = "2018",

month = feb,

day = "1",

doi = "10.1109/PESGM.2017.8274574",

language = "English",

isbn = "978-1-5386-2213-1",

booktitle = "Power & Energy Society General Meeting, 2017 IEEE",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2017 IEEE PES General Meeting ; Conference date: 16-07-2017 Through 20-07-2017",

}

TY - GEN

T1 - Challenges for Probabilistic Generation Adequacy Assessment in Sub-Saharan Africa

AU - Edwards, Gruffudd

AU - Dent, Christopher

AU - Wade, Neal

PY - 2018/2/1

Y1 - 2018/2/1

N2 - This paper explores the need for, and challenges associated with the probabilistic assessment of the generation adequacy of power systems in Sub-Saharan Africa, using Kenya and Ghana as examples. Some relevant distinctive characteristics of these systems are discussed, and previous work in this area is reviewed. Illustrative data analysis for the future Kenyan system is presented, exploring the temporal relationship between the wind power resource, demand, and the hydro power resource – to provide insight on the potential contribution of large wind projects to generation adequacy.

AB - This paper explores the need for, and challenges associated with the probabilistic assessment of the generation adequacy of power systems in Sub-Saharan Africa, using Kenya and Ghana as examples. Some relevant distinctive characteristics of these systems are discussed, and previous work in this area is reviewed. Illustrative data analysis for the future Kenyan system is presented, exploring the temporal relationship between the wind power resource, demand, and the hydro power resource – to provide insight on the potential contribution of large wind projects to generation adequacy.

U2 - 10.1109/PESGM.2017.8274574

DO - 10.1109/PESGM.2017.8274574

M3 - Conference contribution

SN - 978-1-5386-2213-1

BT - Power & Energy Society General Meeting, 2017 IEEE

PB - Institute of Electrical and Electronics Engineers

T2 - 2017 IEEE PES General Meeting

Y2 - 16 July 2017 through 20 July 2017

ER -

Challenges for Probabilistic Generation Adequacy Assessment in Sub-Saharan Africa

Abstract / Description of output

Conference

Access to Document

Fingerprint

Projects

Green Growth Diagnostics for Africa

Cite this