Design and Implementation of a Remote Controlled Emulator for Standalone PV Systems

Immeasurable efforts have been put into strengthening energy security and reducing greenhouse gas emissions by meeting growing energy demand. With declining costs and increasing performance, the deployment of PV systems is growing faster. The focus is on standalone solar photovoltaic systems in rural areas or where grid extension is not feasible. Meteorological conditions impact the standalone PV system's behavior. To avoid critical situations during the PV system operation, it is necessary to implement preventive measures. A PV emulator helps to understand better the behavior of the standalone PV system in critical conditions. This paper presents an intelligent and low-cost PV emulator, with focus on behavior of Li-ion battery, which can be remotely monitored and controlled. The proposed PV emulator consists of: a power supply which has the same behavior as the PV panels, battery storage, consumers which are represented by a electronic load (eload) and remote control functions by using mobile applications. The PV emulator was tested and the behavior of battery was analyzed during the charging and discharging processes. It was determined the capacity of battery is influenced by the values of charging and discharging currents. The ambient temperature influences the internal temperature of Li-ion battery and the PV emulator was stopped when the temperature of Li-ion battery was greater than 53o C.

Authors

Institutions

Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/icate62934.2024.10748669
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Implementation of a Remote Controlled Emulator for Standalone PV Systems

Daniel Tudor Cotfas, Andreea-Mihaela Călin Comșiț, Petru Adrian Cotfas
1 citations
Power Systems and Renewable Energy
0.17
article

Design and Implementation of a Remote Controlled Emulator for Standalone PV Systems

Daniel Tudor Cotfas, Andreea-Mihaela Călin Comșiț, Petru Adrian Cotfas
article en
1 citations

Abstract

Immeasurable efforts have been put into strengthening energy security and reducing greenhouse gas emissions by meeting growing energy demand. With declining costs and increasing performance, the deployment of PV systems is growing faster. The focus is on standalone solar photovoltaic systems in rural areas or where grid extension is not feasible. Meteorological conditions impact the standalone PV system's behavior. To avoid critical situations during the PV system operation, it is necessary to implement preventive measures. A PV emulator helps to understand better the behavior of the standalone PV system in critical conditions. This paper presents an intelligent and low-cost PV emulator, with focus on behavior of Li-ion battery, which can be remotely monitored and controlled. The proposed PV emulator consists of: a power supply which has the same behavior as the PV panels, battery storage, consumers which are represented by a electronic load (eload) and remote control functions by using mobile applications. The PV emulator was tested and the behavior of battery was analyzed during the charging and discharging processes. It was determined the capacity of battery is influenced by the values of charging and discharging currents. The ambient temperature influences the internal temperature of Li-ion battery and the PV emulator was stopped when the temperature of Li-ion battery was greater than 53o C.

Transylvania University of Brașov (RO)
Openalex Percentile: Top 43%
Power Systems and Renewable Energy
0.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.