Plant Clipping Bias Due to Spatial Distribution of Inverters and AC Overbuild: Preliminary Investigation

This study investigated the bias in modeled generation for plants with a level of ac overbuild, that is greater aggregate inverter rated capacity than the plant’s grid export limit. The bias was simulated using operational data from two utility scale plants (20 MW and 200 MW). We found daily biases as high as 5% for a single variable day, while clear days experienced virtually no bias. Annual bias for the plants tested is estimated between 0.3-0.7%. In the annual case, the larger 200 MW plant was observed to have a lower bias for comparable overbuilding ratios, which we attribute to the larger inverter footprints for this plant. The use of operational data proved somewhat limiting, as it prevented a fully parameterized investigation of the issues. Further study is warranted to evaluate these effects on plants with different sizes and subject to different climatological conditions.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/pvsc59419.2025.11132488
Primary Topic
Firm Innovation and Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Plant Clipping Bias Due to Spatial Distribution of Inverters and AC Overbuild: Preliminary Investigation

Joseph Ranalli, William B. Hobbs
4 links
Firm Innovation and Growth
article

Plant Clipping Bias Due to Spatial Distribution of Inverters and AC Overbuild: Preliminary Investigation

Joseph Ranalli, William B. Hobbs
article en

Abstract

This study investigated the bias in modeled generation for plants with a level of ac overbuild, that is greater aggregate inverter rated capacity than the plant’s grid export limit. The bias was simulated using operational data from two utility scale plants (20 MW and 200 MW). We found daily biases as high as 5% for a single variable day, while clear days experienced virtually no bias. Annual bias for the plants tested is estimated between 0.3-0.7%. In the annual case, the larger 200 MW plant was observed to have a lower bias for comparable overbuilding ratios, which we attribute to the larger inverter footprints for this plant. The use of operational data proved somewhat limiting, as it prevented a fully parameterized investigation of the issues. Further study is warranted to evaluate these effects on plants with different sizes and subject to different climatological conditions.

Pennsylvania State University (US), Southern Company (United States) (US)
Openalex Percentile: Top 69%
Firm Innovation and Growth
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.