Evaluation of geographical aggregation of solar photovoltaic generation in Singapore
The capacity of photovoltaic generation in Singapore is rapidly increasing. Large and rapid changes in the output of PV plants are possible because of the intermittent and stochastic nature of solar PV. Such uncertain power fluctuations may cause many issues that threaten the secure and reliable...
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sg-ntu-dr.10356-726072023-07-04T16:05:15Z Evaluation of geographical aggregation of solar photovoltaic generation in Singapore Xie, Chen Tang Yu School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The capacity of photovoltaic generation in Singapore is rapidly increasing. Large and rapid changes in the output of PV plants are possible because of the intermittent and stochastic nature of solar PV. Such uncertain power fluctuations may cause many issues that threaten the secure and reliable operation of power system. One way to alleviate these issues is to deploy distributed PV generation in multiple different sites, as geographic diversity can significantly reduce the magnitude of extreme changes in aggregated PV output. This dissertation put forward several parameters which are used to evaluate the smoothing effect of the geographical distribution of the PV plants. Also some figures in the time and frequency domain is proposed. After the data analysis processing, the results of the different timescale and combination were compared. So at last the influence factor of the smoothing effect is given and discussed based on the result figures. As the dissertaion stated, the PV generation output surely can be improved by the geographical distribution, which will highly improve the quality and stability of the solar generation power. This has a large significance to the development of the solar energy. Master of Science (Power Engineering) 2017-08-30T05:40:59Z 2017-08-30T05:40:59Z 2017 Thesis http://hdl.handle.net/10356/72607 en 67 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Xie, Chen Evaluation of geographical aggregation of solar photovoltaic generation in Singapore |
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The capacity of photovoltaic generation in Singapore is rapidly increasing. Large and
rapid changes in the output of PV plants are possible because of the intermittent and
stochastic nature of solar PV. Such uncertain power fluctuations may cause many issues
that threaten the secure and reliable operation of power system. One way to alleviate these
issues is to deploy distributed PV generation in multiple different sites, as geographic
diversity can significantly reduce the magnitude of extreme changes in aggregated PV
output. This dissertation put forward several parameters which are used to evaluate the
smoothing effect of the geographical distribution of the PV plants. Also some figures in
the time and frequency domain is proposed. After the data analysis processing, the results
of the different timescale and combination were compared. So at last the influence factor
of the smoothing effect is given and discussed based on the result figures. As the
dissertaion stated, the PV generation output surely can be improved by the geographical
distribution, which will highly improve the quality and stability of the solar generation
power. This has a large significance to the development of the solar energy. |
author2 |
Tang Yu |
author_facet |
Tang Yu Xie, Chen |
format |
Theses and Dissertations |
author |
Xie, Chen |
author_sort |
Xie, Chen |
title |
Evaluation of geographical aggregation of solar photovoltaic generation in Singapore |
title_short |
Evaluation of geographical aggregation of solar photovoltaic generation in Singapore |
title_full |
Evaluation of geographical aggregation of solar photovoltaic generation in Singapore |
title_fullStr |
Evaluation of geographical aggregation of solar photovoltaic generation in Singapore |
title_full_unstemmed |
Evaluation of geographical aggregation of solar photovoltaic generation in Singapore |
title_sort |
evaluation of geographical aggregation of solar photovoltaic generation in singapore |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/72607 |
_version_ |
1772826949665685504 |