# Photovoltaic allocation with tangent vector sensitivity
> Arief A.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85090328736
Jurnal / Konferensi: International Journal on Energy Conversion
Tahun terbit: 2020
DOI: https://doi.org/10.15866/irecon.v8i3.18419
ISSN: 22815295
Kuartil SJR: Q3
Citations: 10

## Authors
- Arief A.

## Abstract
Indonesia has abundant energy potential from renewable energy resources, especially from the sun but until now, the utilization is not optimal. This paper presents a new methodology for determining the effective location of Photovoltaic (PV) integration into the power system. The proposed scheme consists of two steps: first, determining the area with good irradiance from SOLARGIS and second, calculating the PV-Tangent Vector Sensitivity (PV-TVS) to determine the area that has the greatest impact in increasing network voltage stability and minimizing losses. PV-TVS is developed based on the Continuation Power Flow (CPF) technique which is a voltage stability evaluation tool in the quasi-static analysis methodology. For effectiveness, PV-TVS will be calculated only for good exposure areas. The region that has the highest PV-TVS means that it has the best sensitivity in enhancing system voltage stability and it is recommended for PV placement. The simulation results have been carried out on the South Sulawesi power system in Indonesia, which is a priority location for PV integration in Indonesia, and the results show that this method is effective in determining the location for PV integration.

## Keywords
- Photovoltaic system
- Sensitivity (control systems)
- Renewable energy
- Voltage
- Tangent
- Maximum power principle
- Maximum power point tracking
- Power (physics)
- Computer science
- Solar irradiance
- Tangent vector
- Stability (learning theory)
- Control theory (sociology)
- Electronic engineering
- Engineering
- Electrical engineering
- Mathematics
- Physics
- Meteorology
- Control (management)
- Machine learning
- Geometry
- Inverter
- Quantum mechanics
- Artificial intelligence

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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