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SEL Metering Software Solutions

SEL  Metering Software Solutions

¥17860.00
¥14560.00
¥14560.00
¥14560.00
Weight:2.000KG
Description

SEL  Metering Software Solutions




Metering Software Solutions

Automate data collection, perform real-time power monitoring, and improve power quality analysis.

Increase power system awareness using software solutions that collect, analyze, monitor, and report meter data.

Select from three software bundles: the Meter Data Bundle, the Power Quality Bundle, or the Energy and Power Monitoring Bundle.

Order a bundle when you purchase an SEL meter, or purchase a bundle anytime for meters already in the field.

Visualize and Analyze Power System Data—Derive more insights from meters or other devices, and analyze long-term trends based on historical data.

Use interactive graphs to isolate events or specific time periods. Examine data on the web interface, or export data for further analysis.

Retrieve Reports on Demand or by Email—Generate reports on demand, or receive emails in regular intervals, including every 15-minutes, hourly, daily, weekly, or monthly. Choose between PDF or CSV file formats.

Monitor Power Quality and Confirm Compliance—Easily monitor power quality and confirm compliance with IEEE Std 519-2014. Standard for Harmonic Control in Electric Power Systems.

Innovations in ac/dc and dc/ac power conversion have led to increased harmonic distortion on distribution and transmission lines, which negatively affects neighboring loads and generation sources.

Monitor a single point or an entire power system for compliance, and detect distortions that cause excess heat, efficiency loss, system capacity reduction, and other problems.

Automate Data Collection—Accelerate root-cause analysis and reporting by automating the aggregation of voltage sag, swell, and interruption (VSSI); load data profile (LDP); Sequential Events Recorder (SER); and event data from meters.

Optimize Your System—Visualize and report system-wide meter data, including VSSI data, LDP information, SER data, and water, air, gas, electricity, and steam (WAGES) consumption details.

Use meter data to validate usage patterns and identify areas for improvement, such as avoiding peak demand charges by moving overlapping electric processes to off-peak hours.

ITI (CBEMA) curves and detailed voltage event tables help you recognize power disturbance issues before they affect equipment.

Monitor Power in Real Time—Monitor the real-time state of the power system using streaming measurements for key system and facility assets.

As power system generation and load become more dynamic, high-rate data help identify hidden equipment failures and inefficiencies early to improve reliability and uptime.

Meter Data Bundle

The Meter Data bundle includes the basics for automated SEL-735 Power Quality and Revenue Meter data collection and general reporting on interval data or captured oscillography events.

Use interactive charts and reports to quickly identify trends and opportunities for improvement and validate usage patterns. In just a few steps, you can easily export and email reports in PDF or CSV format.

Power Quality Bundle

The Power Quality bundle offers all Meter Data reports and adds an IEEE 519 compliance report, which streamlines power quality compliance monitoring.

A license for SEL-5703 Synchrowave Monitoring is also included in this bundle.

Synchrowave Monitoring receives streaming data via a phasor measurement unit (PMU) or continuous waveform streaming (CWS) device.

For applications such as virtual metering, you can visualize data in real-time dashboard plots processed by the internal calculations engine. Export data for further analysis in third-party software.

Energy and Power Monitoring Bundle

The Energy and Power Monitoring bundle is the most feature-rich and capable software bundle.

It brings together all the capabilities of interactive charts, power quality reporting, and continuous waveform analytics, and it adds alarming and detection for streaming data.

This software bundle is a valuable tool for engineers and data scientists who are developing the latest detection algorithms for events such as subsynchronous oscillation and early PT failure.


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