GIS-Based Distribution System Planning for New PV Installations
Solar panel installations have increased significantly in Japan in recent decades. Due to this, world trends, such as clean/renewable energy, are being implemented in power systems all across Japan—particularly installations of photovoltaic (PV) panels in general households. In this work, solar powe...
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MDPI AG
2021-06-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/14/13/3790 |
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author | Pawita Bunme Shuhei Yamamoto Atsushi Shiota Yasunori Mitani |
author_facet | Pawita Bunme Shuhei Yamamoto Atsushi Shiota Yasunori Mitani |
author_sort | Pawita Bunme |
collection | DOAJ |
description | Solar panel installations have increased significantly in Japan in recent decades. Due to this, world trends, such as clean/renewable energy, are being implemented in power systems all across Japan—particularly installations of photovoltaic (PV) panels in general households. In this work, solar power was estimated using solar radiation data from geographic information system (GIS) technology. The solar power estimation was applied to the actual distribution system model of the Jono area in Kitakyushu city, Japan. In this work, real power consumption data was applied to a real world distribution system model. We studied the impact of high installation rates of solar panels in Japanese residential areas. Additionally, we considered the voltage fluctuations in the distribution system model by assessing the impact of cloud shadows using a novel cloud movement simulation algorithm that uses real world GIS data. The simulation results revealed that the shadow from the cloud movement process directly impacted the solar power generation in residential areas, which caused voltage fluctuations of the overall distribution system. Thus, we advocate distribution system planning with a large number of solar panels. |
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format | Article |
id | doaj.art-bd55b1d53a4641d6a2dd422c5a51d9f1 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T10:06:51Z |
publishDate | 2021-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-bd55b1d53a4641d6a2dd422c5a51d9f12023-11-22T01:31:04ZengMDPI AGEnergies1996-10732021-06-011413379010.3390/en14133790GIS-Based Distribution System Planning for New PV InstallationsPawita Bunme0Shuhei Yamamoto1Atsushi Shiota2Yasunori Mitani3Department of Electrical and Electronics Engineering, Kyushu Institute of Technology, 1-1, Sensui-cho, Tobata-ku, Fukuoka, Kitakyushu City 804-8550, JapanDepartment of Electrical and Electronics Engineering, Kyushu Institute of Technology, 1-1, Sensui-cho, Tobata-ku, Fukuoka, Kitakyushu City 804-8550, JapanDepartment of Information Technology, General Affairs Bureau City of Kitakyushu, 1-1, Jonai, Kokurakita-ku, Fukuoka, Kitakyushu City 803-8501, JapanDepartment of Electrical and Electronics Engineering, Kyushu Institute of Technology, 1-1, Sensui-cho, Tobata-ku, Fukuoka, Kitakyushu City 804-8550, JapanSolar panel installations have increased significantly in Japan in recent decades. Due to this, world trends, such as clean/renewable energy, are being implemented in power systems all across Japan—particularly installations of photovoltaic (PV) panels in general households. In this work, solar power was estimated using solar radiation data from geographic information system (GIS) technology. The solar power estimation was applied to the actual distribution system model of the Jono area in Kitakyushu city, Japan. In this work, real power consumption data was applied to a real world distribution system model. We studied the impact of high installation rates of solar panels in Japanese residential areas. Additionally, we considered the voltage fluctuations in the distribution system model by assessing the impact of cloud shadows using a novel cloud movement simulation algorithm that uses real world GIS data. The simulation results revealed that the shadow from the cloud movement process directly impacted the solar power generation in residential areas, which caused voltage fluctuations of the overall distribution system. Thus, we advocate distribution system planning with a large number of solar panels.https://www.mdpi.com/1996-1073/14/13/3790photovoltaic (PV)solar energygeographic information system technologydigital surface model (DSM)distribution systemrenewable energy |
spellingShingle | Pawita Bunme Shuhei Yamamoto Atsushi Shiota Yasunori Mitani GIS-Based Distribution System Planning for New PV Installations Energies photovoltaic (PV) solar energy geographic information system technology digital surface model (DSM) distribution system renewable energy |
title | GIS-Based Distribution System Planning for New PV Installations |
title_full | GIS-Based Distribution System Planning for New PV Installations |
title_fullStr | GIS-Based Distribution System Planning for New PV Installations |
title_full_unstemmed | GIS-Based Distribution System Planning for New PV Installations |
title_short | GIS-Based Distribution System Planning for New PV Installations |
title_sort | gis based distribution system planning for new pv installations |
topic | photovoltaic (PV) solar energy geographic information system technology digital surface model (DSM) distribution system renewable energy |
url | https://www.mdpi.com/1996-1073/14/13/3790 |
work_keys_str_mv | AT pawitabunme gisbaseddistributionsystemplanningfornewpvinstallations AT shuheiyamamoto gisbaseddistributionsystemplanningfornewpvinstallations AT atsushishiota gisbaseddistributionsystemplanningfornewpvinstallations AT yasunorimitani gisbaseddistributionsystemplanningfornewpvinstallations |