A Multi-Agent Framework for Voltage Control in Distribution Systems with High Penetration of Inverter-Based Resources

The increasing penetration of inverter-based resources (IBRs) such as photovoltaic (PV) systems, electric vehicles (EVs), and battery energy storage systems (BESSs) in distribution networks presents new challenges for maintaining voltage within the standard limits. Traditional voltage control methods are often insufficient to manage the complex dynamics introduced by decentralized and variable power sources. This paper proposes a multi-agent framework for voltage control in distribution systems with a high penetration of IBRs. The framework leverages decentralized agents coordinating with a voltage regulator agent, including PV, EV, and fuel cell agents. Each agent monitors and controls its local voltage and power generation or consumption while communicating with the voltage regulator to ensure system-wide voltage control. The novelty lies in the proposed framework’s flexibility, scalability, and adaptability to varying network conditions, particularly under high renewable energy penetration. Simulation results demonstrate that the proposed framework effectively mitigates voltage deviations, decreases the control operation of the voltage regulator, and supports the seamless integration of IBRs into the distribution network. This approach shows promise for enhancing the resilience and efficiency of future power systems with high shares of renewable energy.

Authors

Institutions

Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/mepcon63025.2024.10850396
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multi-Agent Framework for Voltage Control in Distribution Systems with High Penetration of Inverter-Based Resources

Naoto Yorino, Yutaka Sasaki, Ahmed Bedawy, Yoshifumi Zoka
Smart Grid Energy Management
article

A Multi-Agent Framework for Voltage Control in Distribution Systems with High Penetration of Inverter-Based Resources

Naoto Yorino, Yutaka Sasaki, Ahmed Bedawy, Yoshifumi Zoka
article en

Abstract

The increasing penetration of inverter-based resources (IBRs) such as photovoltaic (PV) systems, electric vehicles (EVs), and battery energy storage systems (BESSs) in distribution networks presents new challenges for maintaining voltage within the standard limits. Traditional voltage control methods are often insufficient to manage the complex dynamics introduced by decentralized and variable power sources. This paper proposes a multi-agent framework for voltage control in distribution systems with a high penetration of IBRs. The framework leverages decentralized agents coordinating with a voltage regulator agent, including PV, EV, and fuel cell agents. Each agent monitors and controls its local voltage and power generation or consumption while communicating with the voltage regulator to ensure system-wide voltage control. The novelty lies in the proposed framework’s flexibility, scalability, and adaptability to varying network conditions, particularly under high renewable energy penetration. Simulation results demonstrate that the proposed framework effectively mitigates voltage deviations, decreases the control operation of the voltage regulator, and supports the seamless integration of IBRs into the distribution network. This approach shows promise for enhancing the resilience and efficiency of future power systems with high shares of renewable energy.

Hiroshima University (JP)
Openalex Percentile: Top 76%
Smart Grid Energy Management
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.