A distributed model‐free adaptive voltage control algorithm for distribution systems with extensive integration of photovoltaics

Abstract The widespread integration of photovoltaics (PVs) presents significant challenges to the operation and control of distribution systems, particularly in maintaining voltage stability at nodes with PV connections. To address these challenges, this paper proposes a voltage control algorithm based on distributed model‐free adaptive control (MFAC). The control objective is to achieve real‐time reactive‐power‐voltage coordination under constraints including PV power output limitations, voltage safety ranges, and the communication network topology. The proposed method estimates dynamic linearization parameters that represent the voltage control characteristics of the distribution systems by utilizing real‐time data from distributed PVs and enabling communication between adjacent nodes. Rather than relying on a precise network model, the algorithm achieves robust voltage control by estimating these parameters from historical and real‐time sampling data, employing a data‐driven approach to iteratively update control strategies. Multi‐scenario simulations of a 32‐bus power system demonstrated the effectiveness and robustness of the algorithm across diverse operating conditions.

Authors

Institutions

Publication Details

Journal
Energy Conversion and Economics
Published
2025-02-01
DOI
https://doi.org/10.1049/enc2.70003
Citations
2
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A distributed model‐free adaptive voltage control algorithm for distribution systems with extensive integration of photovoltaics

Zhuoming Deng, Baoye Tian, Lingxue Lin, Baorong Zhou et al.
2 citations
Energy Conversion and Economics
Optimal Power Flow Distribution
1.46
article

A distributed model‐free adaptive voltage control algorithm for distribution systems with extensive integration of photovoltaics

Zhuoming Deng, Baoye Tian, Lingxue Lin, Baorong Zhou, Lijuan Fan, Zhifei Guo, Yongjie Zhang, Zuowei You
article en
2 citations

Abstract

Abstract The widespread integration of photovoltaics (PVs) presents significant challenges to the operation and control of distribution systems, particularly in maintaining voltage stability at nodes with PV connections. To address these challenges, this paper proposes a voltage control algorithm based on distributed model‐free adaptive control (MFAC). The control objective is to achieve real‐time reactive‐power‐voltage coordination under constraints including PV power output limitations, voltage safety ranges, and the communication network topology. The proposed method estimates dynamic linearization parameters that represent the voltage control characteristics of the distribution systems by utilizing real‐time data from distributed PVs and enabling communication between adjacent nodes. Rather than relying on a precise network model, the algorithm achieves robust voltage control by estimating these parameters from historical and real‐time sampling data, employing a data‐driven approach to iteratively update control strategies. Multi‐scenario simulations of a 32‐bus power system demonstrated the effectiveness and robustness of the algorithm across diverse operating conditions.

Energy Conversion and EconomicsVol. 6(1)
South China University of Technology (CN)
Openalex Percentile: Top 19%
Optimal Power Flow Distribution
1.46
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.