Photovoltaic Integration Using a Virtual Airgap
Sector: Solar • Location: Alamo, California, United States of America
Source: Department of Energy (DOE)
This project will demonstrate an approach to convert untrusted behind-the-meter (BTM) data into secure, clean, and reliable data for grid operations. Most utilities are reluctant to integrate BTM telemetry with control-room systems because it’s not secure for mission-critical operations technology (OT). Plus, there is an inherent mismatch between current protocols and legacy systems. This project
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Phone | 0000000000 |
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This project will demonstrate an approach to convert untrusted behind-the-meter (BTM) data into secure, clean, and reliable data for grid operations. Most utilities are reluctant to integrate BTM telemetry with control-room systems because it’s not secure for mission-critical operations technology (OT). Plus, there is an inherent mismatch between current protocols and legacy systems. This project is a cloud-based integration layer that decouples photovoltaic data collection from OT systems. It will perform heterogeneous data validation, transformation, and estimation on data streams, which also improves usability, reliability, and security by neutralizing the operational impacts of cyber-risks. Bad data is filtered out, missing data is automatically filled in, and sensitive data is mathematically secured. This system will also help solve the emerging challenge of coordinating BTM data across multiple stakeholders, such as distribution and transmission operators and energy retailers and aggregators. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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