dc.contributor.author |
Oloo, Fiona RA
|
|
dc.contributor.author |
Molefyane, Basetsana
|
|
dc.contributor.author |
Rampokanyo, Mpeli J
|
|
dc.date.accessioned |
2021-03-07T18:20:26Z |
|
dc.date.available |
2021-03-07T18:20:26Z |
|
dc.date.issued |
2020-09 |
|
dc.identifier.citation |
Oloo, F.R., Molefyane, B. & Rampokanyo, M.J. 2020. Modelling and optimisation studies for generator dispatch strategies for deployment of an off-grid micro-grid in South Africa. http://hdl.handle.net/10204/11834 . |
en_ZA |
dc.identifier.isbn |
978-1-7281-2956-3 |
|
dc.identifier.isbn |
978-1-7281-6204-1 |
|
dc.identifier.isbn |
978-1-7281-2957-0 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/11834
|
|
dc.description.abstract |
This paper presents the modelling of an off-grid micro-grid situated in a remote rural village in Eastern Cape province in South Africa. The modelling looks at the optimization studies for control dispatch strategies for the integration of wind power into the existing micro-grid which comprises an electric load supplied by photovoltaic power, battery bank for energy storage and a diesel generator. The optimization studies are performed using HOMER Pro ® and aims to identify the best possible dispatch strategy for the dispatchable generation Le. (diesel generator and battery storage) that minimizes load shedding and excess energy production in a system where the all the generation has been sized already. Four dispatch strategies built into HOMER Pro ® , namely Cycle Charging, Load Following, Combined Dispatch and HOMER Predictive Strategy are tested. The aim of this paper is therefore to test and find which of the above dispatch strategies is the best fit for the rural village. Once the best-fit strategy has been determined, it is further customised and optimised for the rural village load profile. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
DOI:10.1109/ENERGYCon48941.2020.9236547 |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/9236547 |
en_US |
dc.source |
2020 6th IEEE International Energy Conference (ENERGYCon), Gammarth, Tunisia, 28 September-1 October 2020 |
en_US |
dc.subject |
Dispatch strategies |
en_US |
dc.subject |
Hybrid Optimization of Multiple Electric Renewables |
en_US |
dc.subject |
HOMER Pro |
en_US |
dc.subject |
Optimization |
en_US |
dc.title |
Modelling and optimisation studies for generator dispatch strategies for deployment of an off-grid micro-grid in South Africa |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
6pp |
en_US |
dc.description.note |
Copyright: 2020 IEEE. Due to copyright restrictions, the attached PDF file contains the accepted version of the published item. For access to the published item, please consult the publisher's website: https://ieeexplore.ieee.org/document/9236547 |
en_US |
dc.description.cluster |
Smart Places |
|
dc.description.impactarea |
Energy Systems |
en_US |
dc.identifier.apacitation |
Oloo, F. R., Molefyane, B., & Rampokanyo, M. J. (2020). Modelling and optimisation studies for generator dispatch strategies for deployment of an off-grid micro-grid in South Africa. http://hdl.handle.net/10204/11834 |
en_ZA |
dc.identifier.chicagocitation |
Oloo, Fiona RA, Basetsana Molefyane, and Mpeli J Rampokanyo. "Modelling and optimisation studies for generator dispatch strategies for deployment of an off-grid micro-grid in South Africa." <i>2020 6th IEEE International Energy Conference (ENERGYCon), Gammarth, Tunisia, 28 September-1 October 2020</i> (2020): http://hdl.handle.net/10204/11834 |
en_ZA |
dc.identifier.vancouvercitation |
Oloo FR, Molefyane B, Rampokanyo MJ, Modelling and optimisation studies for generator dispatch strategies for deployment of an off-grid micro-grid in South Africa; 2020. http://hdl.handle.net/10204/11834 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Oloo, Fiona RA
AU - Molefyane, Basetsana
AU - Rampokanyo, Mpeli J
AB - This paper presents the modelling of an off-grid micro-grid situated in a remote rural village in Eastern Cape province in South Africa. The modelling looks at the optimization studies for control dispatch strategies for the integration of wind power into the existing micro-grid which comprises an electric load supplied by photovoltaic power, battery bank for energy storage and a diesel generator. The optimization studies are performed using HOMER Pro ® and aims to identify the best possible dispatch strategy for the dispatchable generation Le. (diesel generator and battery storage) that minimizes load shedding and excess energy production in a system where the all the generation has been sized already. Four dispatch strategies built into HOMER Pro ® , namely Cycle Charging, Load Following, Combined Dispatch and HOMER Predictive Strategy are tested. The aim of this paper is therefore to test and find which of the above dispatch strategies is the best fit for the rural village. Once the best-fit strategy has been determined, it is further customised and optimised for the rural village load profile.
DA - 2020-09
DB - ResearchSpace
DP - CSIR
J1 - 2020 6th IEEE International Energy Conference (ENERGYCon), Gammarth, Tunisia, 28 September-1 October 2020
KW - Dispatch strategies
KW - Hybrid Optimization of Multiple Electric Renewables
KW - HOMER Pro
KW - Optimization
LK - https://researchspace.csir.co.za
PY - 2020
SM - 978-1-7281-2956-3
SM - 978-1-7281-6204-1
SM - 978-1-7281-2957-0
T1 - Modelling and optimisation studies for generator dispatch strategies for deployment of an off-grid micro-grid in South Africa
TI - Modelling and optimisation studies for generator dispatch strategies for deployment of an off-grid micro-grid in South Africa
UR - http://hdl.handle.net/10204/11834
ER - |
en_ZA |
dc.identifier.worklist |
24298 |
en_US |