Identification and Mitigation of Weak Points in an Electrical Network for Optimal Solar PV Power Integration

In Burkina Faso, significant initiatives are underway to link multiple Solar Photovoltaic Power plants to the national grid and establish connections with neighboring West African Nations. This endeavor requires careful consideration due to the intermittent nature of Photovoltaic (PV) power generation and the rising electricity demand in Burkina Faso, both of which impact the grid's flexibility. The primary objective of this study is to model the national electrical grid to pinpoint optimal connection sites for photovoltaic solar power plants using PSAT /SIMULINK in MATLAB environment. Initially, this research used the Continuation Power Flow (CPF) technique alongside Burkina Faso's grid code criteria to identify the weakest buses, ensuring that nominal voltage deviations did not exceed ±5%, highlighting Zagtouli, Komsilga, Ouahigouya, Patte d'Oie, Ouaga 1, Ouaga 2, Kossodo, Yaramoko, Wona Hounde, and Ouaga 2000 as the most vulnerable in terms of voltage. The introduction of a 40 MWp solar PV generator at each of these low-voltage points has resulted in an overall network voltage improvement. However, voltage irregularities persist at certain buses. To optimize the injection of PV power flow, a network restructuring is necessary.

Authors

Institutions

Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/mne3sd63831.2024.10812154
Citations
1
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification and Mitigation of Weak Points in an Electrical Network for Optimal Solar PV Power Integration

Thomas Nyangonda, Abdoulaye Ouédraogo, Sebastian Waita, Sami Florent Palm et al.
1 citations
Photovoltaic System Optimization Techniques
0.10
article

Identification and Mitigation of Weak Points in an Electrical Network for Optimal Solar PV Power Integration

Thomas Nyangonda, Abdoulaye Ouédraogo, Sebastian Waita, Sami Florent Palm, Celestin Kambou, Sayouba Kabre
article en
1 citations

Abstract

In Burkina Faso, significant initiatives are underway to link multiple Solar Photovoltaic Power plants to the national grid and establish connections with neighboring West African Nations. This endeavor requires careful consideration due to the intermittent nature of Photovoltaic (PV) power generation and the rising electricity demand in Burkina Faso, both of which impact the grid's flexibility. The primary objective of this study is to model the national electrical grid to pinpoint optimal connection sites for photovoltaic solar power plants using PSAT /SIMULINK in MATLAB environment. Initially, this research used the Continuation Power Flow (CPF) technique alongside Burkina Faso's grid code criteria to identify the weakest buses, ensuring that nominal voltage deviations did not exceed ±5%, highlighting Zagtouli, Komsilga, Ouahigouya, Patte d'Oie, Ouaga 1, Ouaga 2, Kossodo, Yaramoko, Wona Hounde, and Ouaga 2000 as the most vulnerable in terms of voltage. The introduction of a 40 MWp solar PV generator at each of these low-voltage points has resulted in an overall network voltage improvement. However, voltage irregularities persist at certain buses. To optimize the injection of PV power flow, a network restructuring is necessary.

University of Nairobi (KE), Burkina Faso Ministry of the Environment, Green Economy, and Climate Change (BF)
Climate action
Openalex Percentile: Top 62%
Photovoltaic System Optimization Techniques
0.10
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.