PV HOSTING CAPACITY ANALYSIS USING QUASI-STATIC TIME SERIES SIMULATION, STUDY CASE IN BANDAR LAMPUNG, INDONESIA

PV HOSTING CAPACITY ANALYSIS USING QUASI-STATIC TIME SERIES SIMULATION, STUDY CASE IN BANDAR LAMPUNG, INDONESIA

This study analyzes the hosting capacity of rooftop photovoltaic (PV) systems in the distribution network of Bandar Lampung, Indonesia, using the Quasi-Static Time Series (QSTS) simulation method. With the increasing penetration of PV in distribution networks, this research evaluates the impact o...

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Main Author: Prasetyo Susilo Putra, Reynaldi
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/86910
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:86910
spelling id-itb.:869102025-01-06T09:50:34ZPV HOSTING CAPACITY ANALYSIS USING QUASI-STATIC TIME SERIES SIMULATION, STUDY CASE IN BANDAR LAMPUNG, INDONESIA Prasetyo Susilo Putra, Reynaldi Indonesia Theses photovoltaic (PV), Hosting Capacity (HC), Quasi-Static Time Series (QSTS), Reverse Power Flow. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/86910 This study analyzes the hosting capacity of rooftop photovoltaic (PV) systems in the distribution network of Bandar Lampung, Indonesia, using the Quasi-Static Time Series (QSTS) simulation method. With the increasing penetration of PV in distribution networks, this research evaluates the impact of PV on voltage profiles, power flow, and the potential for Reverse Power Flow (RPF). The QSTS method is employed to analyze daily load profiles and solar irradiance variations over a 24- hour period, ensuring PV integration does not exceed network operational limits. Results indicate a maximum hosting capacity of 44.85 MW with an average transformer hosting capacity of 0.066 MW. The study highlights the importance of dynamic analysis for optimizing renewable energy integration into distribution networks. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This study analyzes the hosting capacity of rooftop photovoltaic (PV) systems in the distribution network of Bandar Lampung, Indonesia, using the Quasi-Static Time Series (QSTS) simulation method. With the increasing penetration of PV in distribution networks, this research evaluates the impact of PV on voltage profiles, power flow, and the potential for Reverse Power Flow (RPF). The QSTS method is employed to analyze daily load profiles and solar irradiance variations over a 24- hour period, ensuring PV integration does not exceed network operational limits. Results indicate a maximum hosting capacity of 44.85 MW with an average transformer hosting capacity of 0.066 MW. The study highlights the importance of dynamic analysis for optimizing renewable energy integration into distribution networks.
format Theses
author Prasetyo Susilo Putra, Reynaldi
spellingShingle Prasetyo Susilo Putra, Reynaldi
PV HOSTING CAPACITY ANALYSIS USING QUASI-STATIC TIME SERIES SIMULATION, STUDY CASE IN BANDAR LAMPUNG, INDONESIA
author_facet Prasetyo Susilo Putra, Reynaldi
author_sort Prasetyo Susilo Putra, Reynaldi
title PV HOSTING CAPACITY ANALYSIS USING QUASI-STATIC TIME SERIES SIMULATION, STUDY CASE IN BANDAR LAMPUNG, INDONESIA
title_short PV HOSTING CAPACITY ANALYSIS USING QUASI-STATIC TIME SERIES SIMULATION, STUDY CASE IN BANDAR LAMPUNG, INDONESIA
title_full PV HOSTING CAPACITY ANALYSIS USING QUASI-STATIC TIME SERIES SIMULATION, STUDY CASE IN BANDAR LAMPUNG, INDONESIA
title_fullStr PV HOSTING CAPACITY ANALYSIS USING QUASI-STATIC TIME SERIES SIMULATION, STUDY CASE IN BANDAR LAMPUNG, INDONESIA
title_full_unstemmed PV HOSTING CAPACITY ANALYSIS USING QUASI-STATIC TIME SERIES SIMULATION, STUDY CASE IN BANDAR LAMPUNG, INDONESIA
title_sort pv hosting capacity analysis using quasi-static time series simulation, study case in bandar lampung, indonesia
url https://digilib.itb.ac.id/gdl/view/86910
_version_ 1822011200404193280

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