Development of an Empirical Analysis Method for PV Inverter Anti-Islanding Performance Verification Tests: Implications for Grid Connected Energy Storage System

Anti-islanding certification is generally reported as pass or fail, although response times across the active- and reactive-power (P-Q) matrix contain additional information. We analyzed 925 Condition-A measurements from 37 grid-connected photovoltaic (PV) inverters tested under Korean Industrial Standard KS C 8565 at 60 Hz. A signed 5 × 5 map and within-product contrasts used each inverter as its own reference. Relatively long responses followed the ΔQ = 0 row rather than the balanced cell alone. Mean response was 0.221 s at balance, 0.140 s at signed |ΔQ| = 10% endpoints, and 0.208 s at signed |ΔP| = 10% endpoints. The direct P- versus Q-axis difference was 0.068 s (95% confidence interval (CI), 0.040–0.095 s; p < 0.001). Across the matrix, the ΔQ = 0 row exceeded the |ΔQ| = 10% rows by 0.061 s (95% CI, 0.036–0.085 s; p < 0.001). All values met the 0.5 s criterion. Reactive-power balance, rather than a single balanced cell, therefore marked a corridor of relatively long compliant response. This analysis converts certification records ordinarily summarized as pass/fail outcomes into a directional performance profile. The analysis procedure, but not the numerical PV response times, is proposed for future grid-connected power conversion system (PCS) testing, which requires separate charge- and discharge-mode validation.

Authors

Institutions

Publication Details

Journal
Energies
Published
2026-08-17
DOI
https://doi.org/10.3390/en19163851
Primary Topic
Islanding Detection in Power Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of an Empirical Analysis Method for PV Inverter Anti-Islanding Performance Verification Tests: Implications for Grid Connected Energy Storage System

Seongjun Park, Doeun Kim, Misung Kim, Kijin Kwon et al.
Energies
Islanding Detection in Power Systems
article

Development of an Empirical Analysis Method for PV Inverter Anti-Islanding Performance Verification Tests: Implications for Grid Connected Energy Storage System

Seongjun Park, Doeun Kim, Misung Kim, Kijin Kwon, Ina Jung, Younsung Kim, Yeongyu Ryu
article en

Abstract

Anti-islanding certification is generally reported as pass or fail, although response times across the active- and reactive-power (P-Q) matrix contain additional information. We analyzed 925 Condition-A measurements from 37 grid-connected photovoltaic (PV) inverters tested under Korean Industrial Standard KS C 8565 at 60 Hz. A signed 5 × 5 map and within-product contrasts used each inverter as its own reference. Relatively long responses followed the ΔQ = 0 row rather than the balanced cell alone. Mean response was 0.221 s at balance, 0.140 s at signed |ΔQ| = 10% endpoints, and 0.208 s at signed |ΔP| = 10% endpoints. The direct P- versus Q-axis difference was 0.068 s (95% confidence interval (CI), 0.040–0.095 s; p < 0.001). Across the matrix, the ΔQ = 0 row exceeded the |ΔQ| = 10% rows by 0.061 s (95% CI, 0.036–0.085 s; p < 0.001). All values met the 0.5 s criterion. Reactive-power balance, rather than a single balanced cell, therefore marked a corridor of relatively long compliant response. This analysis converts certification records ordinarily summarized as pass/fail outcomes into a directional performance profile. The analysis procedure, but not the numerical PV response times, is proposed for future grid-connected power conversion system (PCS) testing, which requires separate charge- and discharge-mode validation.

EnergiesVol. 19(16)
Korea Testing & Research Institute (KR)
Affordable and clean energy
Openalex Percentile: Top 18%
Islanding Detection in Power Systems
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.