Data Sheet 1_Online capacity detection of distribution transformers based on zero-sequence

173.7 KB of data supporting an online method for detecting distribution transformer capacity based on zero-sequence impedance curve matching. The dataset includes parameter data for transformer series S7, S9, and S11, covering capacities from 6.3 kVA to 1600 kVA, and was used to construct a reference curve relating zero-sequence impedance to rated capacity. It was authored by Bo Li and last updated on March 18, 2026.

Use Cases

• Train models for online capacity verification based on zero-sequence impedance curves.
• Validate simulation models of transformer behavior under three-phase unbalanced conditions.
• Develop data cleaning methods for power system monitoring data using the described BP neural network approach.
• Benchmark engineering accuracy for transformer nameplate tampering detection systems.

Strengths

• Covers a practical capacity range from 6.3 kVA to 1600 kVA.
• Includes data for multiple transformer series (S7, S9, S11).
• Field validation reported errors within ±10% for a 315 kVA transformer.
• Method is described as stable across load levels from 30% to 80% of rated capacity.

Limitations

• The dataset is small at 173.7 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Parameter data was collected for multiple transformer series, and MATLAB/Simulink models were established to calculate zero-sequence impedance.

Freshness

Last updated 2026-03-18 05:34:38; freshness should be verified.