Solutions
Pioneering Industry’s first-ever ‘Integrated Digital Grid Enhancing Technologies’ (ID-GETs) for Software-based Automated Decision Support for Grid Planning & Operations
01. What is ‘ID-GETs’?
GridAstra is revolutionizing the power industry with its pioneering 'Integrated Digital Grid Enhancing Technologies' (ID-GETs) platform — the first-ever software solution of its kind.
GridAstra’s patent-pending ID-GETs technology platform digitally integrates models of various Grid Enhancing Technologies (GETs) to provide automated decision support for mitigating thermal overloads and grid congestion. By ‘unlocking’ the grid’s true potential, the ID-GETs platform can accelerate interconnection and facilitate sustained operation of additional generation, storage, and large loads (e.g. data centers).
02. How can the ID-GETs Software
Platform Help ‘Unlock’ Grid
Capacity?
The ID-GETs platform models and optimizes GETs-based solutions to automatically come up with cost-effective ways to address thermal overloads. The platform utilizes 3 types of GETs:
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Wide Area Advanced Power Flow Control (APFC)
Optimally uses APFCs to reroute power flow from overloaded lines to underutilized lines by adjusting line impedance
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Grid Topology Reconfiguration Control
Optimally identifies transmission switching in substations to redirect power flows away from congested lines
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Sensor-less Dynamic Line Rating Control
Creates a Digital Twin to dynamically increase reliable line capacity without any hardware sensors in a scalable and cost-effective manner
Unlock More, Unlock Faster, at the Lowest Possible Cost
With the ID-GETs portfolio of software applications, GridAstra is empowering developers, utilities, and ISOs with smarter, faster, and more cost-effective solutions to enhance grid capacity, accelerate interconnections, and enable the clean energy transition, while reliably meeting soaring power demand.
FUSION-T Interconnection Planner
A grid planning software for accelerating the interconnection of new generation, storage, and large loads in the grid by optimizing the existing capacity of the grid in a reliable and cost-effective manner
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Generation & Storage Developers | Data Center Developers | Transmission Utilities | ISOs / RTOs
01. Point of Interconnection Capacity Analysis
GridAstra’s software provides the optimal locations in the grid for siting new generation (like wind, solar, gas, nuclear, storage, etc.) and large loads (like data centers, industrial loads, commercial loads, etc.) based on the available grid capacity.
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02. Steady State Cluster Study Analysis
GridAstra’s software models and evaluates the entire cluster of projects in the interconnection study cycle, along with the approved network upgrades (e.g.- from the previous study cycles). With that, it can predict the basecase and contingency violations (e.g.- thermal overloading of transmission lines, etc.) for each of the study cases.​
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03. GETs-based Thermal Overload Mitigation Analysis
GridAstra’s platform models GETs like Advanced Power Flow Controllers (APFCs) and Grid Topology Reconfiguration, and autogenerates optimal feasible plans to reliably re-route power off overloaded lines onto under-utilized lines.
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GridAstra’s technology is designed to enable faster interconnection of new generation, storage, and large load projects at significantly lesser costs.
Key Outcomes for Our Customers
01. Faster interconnection studies​
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By automating interconnection studies and providing automated intelligent decision support for mitigating thermal overloads using GETs, our software can significantly reduce study timelines.
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02. Optimized utilization of the existing grid
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By automatically finding the optimal ways to re-route power from overloaded lines to under-utilized lines, our software can increase the overall utilization of the existing grid.
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03. Lower costs and shorter wait times to interconnect
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With intelligent GETs-based planning, our software automatically identifies cost-effective and fast-to-deploy solutions, thereby significantly reducing reliance on costly and time-consuming network upgrades like building new transmission lines or reconductoring existing ones. This also helps minimize project withdrawals and re-studies, further accelerating project interconnection.
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04. Compliance with Industry Regulations
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GridAstra’s software performs analysis and generates reports in compliance with FERC Orders (like FERC Order-2023, FERC Order-1920, etc.) and NERC Standards (NERC TPL-001, etc.).
FUSION-T Grid Capacity Manager
An grid operations software for finding the latent capacity of the existing grid in a reliable and cost-effective manner for the reduction of grid congestion
Utilities | ISOs / RTOs
01. Ambient Adjusted Ratings (AAR) Analysis
GridAstra’s software considers ambient temperatures and day-night variations to compute real-time and forecasted Ambient Adjusted Ratings, in compliance with the FERC Order-881.
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02. Dynamic Line Ratings (DLR) Analysis
The GridAstra platform computes Dynamic Line Ratings by building a reliable Digital Twin of the grid, integrating key aspects like grid conditions, weather data (temperature, wind, solar heating, cloud cover, etc.), and geospatial details (topography, vegetation, land cover, etc.), and asset model information. This sensor-less approach enables precise real-time and forecasted dynamic ratings of lines, in compliance with IEEE Standard-738.
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03. Effective Dynamic Line Ratings (EDLR) Analysis
GridAstra’s software computes the Effective Dynamic Line Ratings by accounting for the ratings of elements topologically connected with a line (such as circuit breakers, switches, line traps, wave traps, transformers, CTs, PTs, etc.) along with the DLR, in compliance with NERC Standard FAC-008.
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GridAstra’s sensor-less DLR technology is designed to find the latent capacity of lines in the grid, with high accuracy and significantly lower costs.
Key Outcomes for Our Customers
01. Maximized utilization of the existing grid
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GridAstra software’s comprehensive system-wide AAR and DLR analysis can provide a highly accurate assessment of a line’s true current-carrying capacity. When conditions are favorable, these dynamic line ratings can be much higher than the conservating static seasonal ratings (which are based on worst-case scenarios), thereby allowing maximum utilization of existing latent capacity.
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02. Significant reduction in cost per mile when compared to hardware-sensor-based DLRs
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GridAstra’s software can reliably compute dynamic line ratings without the need for hardware sensors. This innovative approach significantly lowers capital expenses by eliminating costly sensor deployment and engineering work. Additionally, since no specialized field crew is needed for sensor maintenance, operational costs are also considerably reduced.
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03. Matching the accuracy of hardware sensor-based DLRs
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GridAstra’s software creates a highly reliable Digital Twin of the grid by integrating data from multiple domains including, power systems, geospatial, weather, and asset models. By combining physics-based power systems and fluid dynamics algorithms, along with AI/ML techniques, GridAstra accurately computes dynamic line ratings. Over the last one year we have field-tested our software across multiple lines with sensor-based DLRs, and our solution has achieved an overall match of 98-99% in the ratings results, ensuring trusted performance across all seasons.
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04. Seamless integration with Energy Management Systems in Grid Control Rooms
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GridAstra’s software can be easily integrated with Energy Management Systems (EMS) from various vendors, enabling its ratings results to be directly utilized by key operational applications such as SCADA, State Estimator, and Real-time Contingency Analysis, as well as in study applications, ensuring efficient and reliable grid operations.
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05. Compliance with Industry Standards
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GridAstra’s software ensures full compliance with key industry regulations, including FERC Order-881 for ambient adjusted ratings computation, IEEE Standard 738 for dynamic line ratings, and NERC FAC-008 for facility ratings. It also complies with the upcoming possible DLR requirements outlined in FERC’s ANOPR on DLR (Docket: RM24-6-000).