dc.contributor.author |
Meegoda, MSS |
|
dc.contributor.author |
Balasooriya, BADT |
|
dc.contributor.author |
Dharmapriya, EGMC |
|
dc.contributor.author |
Kumara, JIAN |
|
dc.contributor.author |
Amarasinghe, PAGM |
|
dc.contributor.author |
Abeygunawardane, SK |
|
dc.contributor.editor |
Weeraddana, C |
|
dc.contributor.editor |
Edussooriya, CUS |
|
dc.contributor.editor |
Abeysooriya, RP |
|
dc.date.accessioned |
2022-08-05T05:01:37Z |
|
dc.date.available |
2022-08-05T05:01:37Z |
|
dc.date.issued |
2020-07 |
|
dc.identifier.citation |
******* |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/18519 |
|
dc.description.abstract |
The integration of solar PV into the power
distribution systems has been significantly increasing. Hence,
distributed solar PV will become a ubiquitous component of
modern power distribution systems. This paper investigates the
impact of solar PV systems on the adequacy of power
distribution systems. Firstly, the system Energy Not Supplied
(ENS) is calculated for the RBTS bus 2 system when there is a
line outage. The AC optimal power flow analysis is used to
evaluate the distribution system states. Different levels of solar
PV integration and various solar PV placements are considered
to analyse the impact of solar integration on the reliability of
power distribution networks. Then, Monte Carlo simulation is
used to obtain the ENS of the system by simulating the
distribution system operation. The forced outage rates of the
system components are considered in the study to model the
stochastic operation of the system. The results show that solar
PV can significantly reduce the ENS of the system when there is
an outage in the system. When 0.75, 1.5, 2.25 MW and 4.5 MW
solar capacities are integrated, the daytime ENS is reduced by
5.9 %, 11.6 %, 17.1 % and 32.6 % respectively. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/9185310 |
en_US |
dc.subject |
distribution system adequacy |
en_US |
dc.subject |
Monte Carlo simulation |
en_US |
dc.subject |
optimal power flow |
en_US |
dc.subject |
solar PV |
en_US |
dc.title |
Impact of solar pv systems on the reliability of power distribution systems |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.department |
Engineering Research Unit, University of Moratuwa |
en_US |
dc.identifier.year |
2020 |
en_US |
dc.identifier.conference |
Moratuwa Engineering Research Conference 2020 |
en_US |
dc.identifier.place |
Moratuwa, Sri Lanka |
en_US |
dc.identifier.pgnos |
pp. 560-565 |
en_US |
dc.identifier.proceeding |
Proceedings of Moratuwa Engineering Research Conference 2020 |
en_US |
dc.identifier.email |
150405t@uom.lk |
en_US |
dc.identifier.email |
150056x@uom.lk |
en_US |
dc.identifier.email |
150121t@uom.lk |
en_US |
dc.identifier.email |
150338n@uom.lk |
en_US |
dc.identifier.email |
ra-gihan@uom.lk |
en_US |
dc.identifier.email |
sarangaa@uom.lk |
en_US |
dc.identifier.doi |
10.1109/MERCon50084.2020.9185310 |
en_US |