Real-Time PV Reactive Power Prediction for Online Voltage Control in Distribution Network Installed with Phasor Measurement Unit

This paper presents and describes an intelligent predictive technique for utilizing reactive power from PV in a distribution network that has several PV sources connected to a low voltage (LV) bus. The technique employs an artificial neural network (ANN) as part of an intelligent management tool that can be used to manage PV sources in a distribution network. The effectiveness of the method is assessed, and the result is very promising. The intelligent predictive technique presented in this paper is suitable to be integrated into an active distribution network management scheme of the distribution network that utilizes a phasor measurement unit (PMU) for monitoring.

Authors

Institutions

Publication Details

Published
2024-11-24
DOI
https://doi.org/10.1109/ispec59716.2024.10892575
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real-Time PV Reactive Power Prediction for Online Voltage Control in Distribution Network Installed with Phasor Measurement Unit

Antonio Sanfilippo, Mohd Zamri Che Wanik, Abdullah Abdul Jabbar, Mohamed Khalid Gad
Power Systems and Renewable Energy
article

Real-Time PV Reactive Power Prediction for Online Voltage Control in Distribution Network Installed with Phasor Measurement Unit

Antonio Sanfilippo, Mohd Zamri Che Wanik, Abdullah Abdul Jabbar, Mohamed Khalid Gad
article en

Abstract

This paper presents and describes an intelligent predictive technique for utilizing reactive power from PV in a distribution network that has several PV sources connected to a low voltage (LV) bus. The technique employs an artificial neural network (ANN) as part of an intelligent management tool that can be used to manage PV sources in a distribution network. The effectiveness of the method is assessed, and the result is very promising. The intelligent predictive technique presented in this paper is suitable to be integrated into an active distribution network management scheme of the distribution network that utilizes a phasor measurement unit (PMU) for monitoring.

Hamad bin Khalifa University (QA), Qatar Foundation (QA)
Affordable and clean energy
Openalex Percentile: Top 68%
Power Systems and Renewable Energy
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.