Simultaneous Planning of PV and DSTATCOM for Combined Mitigation of Voltage Deviation and Unbalance

The increased integration of photovoltaic systems (PVs) and unbalanced loads in low-voltage (LV) distribution systems has negative consequences on the overall performance of the utility grid (UG), resulting in voltage imbalance, power losses, line overheating, and various power quality issues. To enhance the hosting capacity (HC) of such distribution systems for accommodating increased capacities of PVs, the reactive power control (RPC) techniques, such as distribution static compensators (DSTATCOMs) are utilized to regulate voltage profiles and address voltage unbalances. In this regard, this study focuses on coordinating the sizing and placement of PVs and DSTATCOMs to mitigate voltage unbalances and maintain acceptable limits for other power quality metrics, particularly in unbalanced three-phase systems. By accounting for fluctuations in both load demand and solar irradiance, a multi-objective grey wolf optimization (MOGWO) algorithm verifies the planning method within the IEEE 123-bus unbalanced distribution system, employing the co-simulation between MATLAB and OpenDSS platforms. As a result of this proposed planning approach, voltage unbalances, power losses, and voltage deviations are reduced by 21%, 42%, and 23%, respectively, under 100% overloading conditions, alongside a 215% penetration level of PVs. Furthermore, the proposed planning strategy underscores that the combination of PVs and DSTATCOMs can alleviate voltage unbalances, consequently reducing power losses and thermal line overloading effectively.

Authors

Institutions

Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/mepcon63025.2024.10850462
Citations
2
Primary Topic
Power Quality and Harmonics
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simultaneous Planning of PV and DSTATCOM for Combined Mitigation of Voltage Deviation and Unbalance

Matti Lehtonen, Karar Mahmoud, Hossam H. H. Mousa
2 citations
Power Quality and Harmonics
0.42
article

Simultaneous Planning of PV and DSTATCOM for Combined Mitigation of Voltage Deviation and Unbalance

Matti Lehtonen, Karar Mahmoud, Hossam H. H. Mousa
article en
2 citations

Abstract

The increased integration of photovoltaic systems (PVs) and unbalanced loads in low-voltage (LV) distribution systems has negative consequences on the overall performance of the utility grid (UG), resulting in voltage imbalance, power losses, line overheating, and various power quality issues. To enhance the hosting capacity (HC) of such distribution systems for accommodating increased capacities of PVs, the reactive power control (RPC) techniques, such as distribution static compensators (DSTATCOMs) are utilized to regulate voltage profiles and address voltage unbalances. In this regard, this study focuses on coordinating the sizing and placement of PVs and DSTATCOMs to mitigate voltage unbalances and maintain acceptable limits for other power quality metrics, particularly in unbalanced three-phase systems. By accounting for fluctuations in both load demand and solar irradiance, a multi-objective grey wolf optimization (MOGWO) algorithm verifies the planning method within the IEEE 123-bus unbalanced distribution system, employing the co-simulation between MATLAB and OpenDSS platforms. As a result of this proposed planning approach, voltage unbalances, power losses, and voltage deviations are reduced by 21%, 42%, and 23%, respectively, under 100% overloading conditions, alongside a 215% penetration level of PVs. Furthermore, the proposed planning strategy underscores that the combination of PVs and DSTATCOMs can alleviate voltage unbalances, consequently reducing power losses and thermal line overloading effectively.

Aswan University (EG), Aalto University (FI)
Climate action
Openalex Percentile: Top 35%
Power Quality and Harmonics
0.42
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.