Publication:
Altruistic versus profit maximising system operators of rural power systems

dc.contributor.authorSendegeya, A.
dc.contributor.authorAmelin, M.
dc.contributor.authorSoder, L.
dc.contributor.authorLugujjo, E.
dc.contributor.authorDa Silva, I. P.
dc.contributor.authorDa Silva, Izael
dc.date.accessioned2023-07-10T06:58:02Z
dc.date.available2023-07-10T06:58:02Z
dc.date.issued2007-07-20
dc.description.abstractThis paper presents a methodology using Monte Carlo Simulation for analysing and compare the impact of two types of monopolistic rural power system operators (altruistic and profit maximising operators) on the probability distribution of tariff levels and reliability of the system. The market has price sensitive consumers. The developed model has been demonstrated on two power systems: only diesel genset and a wind-diesel hybrid system showing the impact of the generation costs and capacity of generation from wind on the tariff levels, expected profit and reliability.
dc.identifier.citationA. Sendegeya, M. Amelin, L. Soder, E. Lugujjo and I. P. Da Silva, "Altruistic versus Profit Maximising System Operators of Rural Power Systems," 2007 IEEE Power Engineering Society Conference and Exposition in Africa - PowerAfrica, Johannesburg, South Africa, 2007, pp. 1-7, doi: 10.1109/PESAFR.2007.4498083.
dc.identifier.isbn978-1-4244-1477-2
dc.identifier.uri10.1109/PESAFR.2007.4498083
dc.identifier.urihttp://hdl.handle.net/11071/13349
dc.language.isoen
dc.publisherIEEE
dc.titleAltruistic versus profit maximising system operators of rural power systems
dc.typeOther
dspace.entity.typePublication
relation.isAuthorOfPublication8fe091bc-b85d-4528-aa5d-42de99a427e8
relation.isAuthorOfPublication.latestForDiscovery8fe091bc-b85d-4528-aa5d-42de99a427e8
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Altruistic versus Profit Maximising System Operators of Rural Power Systems.pdf
Size:
548.03 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: