COMTRADE file parsing decodes the structured binary or ASCII records generated by Digital Fault Recorders (DFRs), Intelligent Electronic Devices (IEDs), and protection relays during grid disturbances. The parser must interpret the hierarchical header (.HDR), configuration (.CFG), and data (.DAT) files to reconstruct synchronized voltage and current waveforms, status channel states, and sampling rate metadata for post-fault analysis.
Glossary
COMTRADE File Parsing

What is COMTRADE File Parsing?
COMTRADE file parsing is the computational process of reading, interpreting, and extracting time-series data from files formatted according to the IEEE C37.111 Common Format for Transient Data Exchange standard, enabling interoperability between power system disturbance recording devices and analysis software.
Accurate parsing is critical for traveling wave fault location, protection coordination studies, and incipient fault detection workflows. Modern parsers handle both the 1999 and 2013 revisions of the standard, managing multi-rate sampling, timestamp synchronization, and the conversion of raw integer counts into scaled engineering units using the configuration file's conversion factors.
Key Features of COMTRADE Parsing Engines
A robust COMTRADE parsing engine must handle the intricacies of the IEEE C37.111 standard to reliably extract and interpret transient disturbance data for protection engineers.
Multi-File Format Handling
Seamlessly parses both ASCII (.dat) and Binary (.dat) data file formats defined by the standard. The engine auto-detects the encoding type from the header (.hdr) or configuration (.cfg) file, correctly interpreting integer, floating-point, and normalized sample value representations without user intervention.
Configuration File Validation
Performs strict schema validation of the .cfg file before parsing data. The engine verifies:
- Line frequency and sampling rate consistency
- Channel count matches the declared total
- Data file format specifier (ASCII/Binary) is valid
- Timestamp formatting adheres to the standard This prevents catastrophic parsing failures mid-stream.
Timestamp Resolution & Merging
Accurately reconstructs absolute time by merging the start timestamp from the configuration with the sample number and sampling rate. Advanced engines handle multiple sampling rates within a single file, correctly aligning high-speed fault data with slower pre-fault records to create a unified time-series.
Channel Mapping & Scaling
Applies the conversion factor (a) and offset (b) from the configuration file to convert raw sample counts into primary or secondary engineering units (e.g., kV, Amps). The engine maps channel identifiers to user-defined labels, automatically grouping three-phase voltage and current channels for symmetrical component analysis.
Streaming & Chunked Processing
Handles multi-gigabyte recordings from Digital Fault Recorders (DFRs) by processing data in configurable chunks rather than loading the entire file into memory. This enables real-time waveform visualization and analysis of long-duration dynamic events without system resource exhaustion.
Digital Status Extraction
Correctly interprets digital channel words as bit-packed binary data, extracting individual protection trip signals, breaker status indicators, and recloser sequence states. The engine aligns these state changes with the analog waveform samples to correlate protection operations with fault inception.
Enabling Efficiency, Speed & Accuracy
Intelligent Analysis, Decision & Execution
We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.
Talk to Us
Search across company data
Give teams answers from docs, tickets, runbooks, and product data with sources and permissions.
Useful when people spend too long searching or get different answers from different systems.

Automate internal workflows
Use AI to route work, draft outputs, trigger actions, and keep approvals and logs in place.
Useful when repetitive work moves across multiple tools and teams.

Add AI to products and internal tools
Build assistants, guided actions, or decision support into the software your team or customers already use.
Useful when AI needs to be part of the product, not a separate tool.
Frequently Asked Questions
Clear, technically precise answers to the most common questions about reading, interpreting, and troubleshooting IEEE C37.111 COMTRADE files for power system transient data.
A COMTRADE (Common Format for Transient Data Exchange) file is a standardized format defined by the IEEE C37.111 standard for storing and exchanging power system disturbance recordings. It is not a single file, but a file set consisting of a mandatory Header (.HDR) file, a mandatory Configuration (.CFG) file, and a mandatory Data (.DAT) file, with an optional Information (.INF) file. The CFG file is the key to parsing, as it defines the number of analog and digital channels, their scaling factors, sampling rates, and the data format (ASCII or binary). The DAT file contains the actual timestamped sample values, organized in rows of samples and columns of channels as specified in the CFG file. This structure allows interoperability between recording devices from different manufacturers and analysis software.
Related Terms
Mastering COMTRADE file parsing requires a deep understanding of the surrounding protection and automation ecosystem. These concepts define how disturbance data is captured, communicated, and utilized for grid stability.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
Partnered with leading AI, data, and software stack.
How We Work
Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
01
Review the use case
We understand the task, the users, and where AI can actually help.
Read more02
Pick the right approach
We define what needs search, automation, or product integration.
Read more03
Build the first useful version
We implement the part that proves the value first.
Read more04
Improve from there
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
Talk to Us