About GridAstra

GridAstra develops Integrated Digital Grid Enhancing Technologies (ID-GETs) that utilize physics-based algorithms and AI/ML to optimize power grid operations and planning. Their software specifically targets grid congestion, facilitating the interconnection of renewable energy sources and reducing costs associated with generation interconnection delays.

```xml <problem> The increasing demand for electricity and the integration of renewable energy sources are creating grid congestion, leading to generation interconnection delays and higher costs for utilities and ratepayers. Traditional solutions for expanding grid capacity, such as building new transmission lines, are expensive and time-consuming. This results in underutilization of the existing grid infrastructure. </problem> <solution> GridAstra offers an Integrated Digital Grid Enhancing Technologies (ID-GETs) software suite that optimizes power grid operations and planning to alleviate congestion and accelerate the integration of new generation resources. The FUSION-T software suite leverages physics-based algorithms and AI/ML to maximize the utilization of existing grid capacity by re-routing power flows and boosting thermal line ratings. This approach provides automated control suggestions for congestion relief based on power flow controllers and grid topology reconfiguration. GridAstra's solutions enable faster and more cost-effective interconnection of renewable energy sources, storage, and large loads, reducing reliance on expensive network upgrades. </solution> <features> - FUSION-T Interconnection Planner: Performs steady-state cluster analysis during feasibility and system impact studies for generation interconnection. - Automated control suggestions for congestion relief using power flow controllers and grid topology reconfiguration. - FUSION-T Grid Analyzer: Conducts steady-state analysis and asset condition analysis for reliable grid operations. - FUSION-T Predictive Grid Analyzer: Performs time-series based predictive steady-state analysis and asset condition analysis for short-term operations planning. - FUSION-T Predictive Grid Enhancement Manager: Provides time-series based automated predictive control suggestions for congestion relief. - FUSION-T Grid Model Manager: Creates and manages power systems and non-power systems models, importing models in widely used formats. </features> <target_audience> GridAstra's primary customers include transmission utilities, independent system operators (ISOs), regional transmission organizations (RTOs), generation and storage developers, and data center developers. </target_audience> ```

What does GridAstra do?

Where is GridAstra located?

GridAstra is based in Bothell, United States.

When was GridAstra founded?

GridAstra was founded in 2023.

Who founded GridAstra?

GridAstra was founded by Srinivas Musunuri and Saugata Biswas.

Srinivas Musunuri - CEO
Saugata Biswas - Co-Founder/President/CTO

Location

Bothell, United States

Founded

2023

Employees

5 employees

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GridAstra

Score: 53/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

gridastra.com 200+

Founded 2023 – Bothell, United States

Funding

No funding information available. Click "Fetch funding" to run a targeted funding scan.

Team (5+)

Srinivas Musunuri

CEO

Saugata Biswas

Co-Founder/President/CTO

Company Description

Problem

The increasing demand for electricity and the integration of renewable energy sources are creating grid congestion, leading to generation interconnection delays and higher costs for utilities and ratepayers. Traditional solutions for expanding grid capacity, such as building new transmission lines, are expensive and time-consuming. This results in underutilization of the existing grid infrastructure.

Solution

GridAstra offers an Integrated Digital Grid Enhancing Technologies (ID-GETs) software suite that optimizes power grid operations and planning to alleviate congestion and accelerate the integration of new generation resources. The FUSION-T software suite leverages physics-based algorithms and AI/ML to maximize the utilization of existing grid capacity by re-routing power flows and boosting thermal line ratings. This approach provides automated control suggestions for congestion relief based on power flow controllers and grid topology reconfiguration. GridAstra's solutions enable faster and more cost-effective interconnection of renewable energy sources, storage, and large loads, reducing reliance on expensive network upgrades.

Features

FUSION-T Interconnection Planner: Performs steady-state cluster analysis during feasibility and system impact studies for generation interconnection.

Automated control suggestions for congestion relief using power flow controllers and grid topology reconfiguration.

FUSION-T Grid Analyzer: Conducts steady-state analysis and asset condition analysis for reliable grid operations.

FUSION-T Predictive Grid Analyzer: Performs time-series based predictive steady-state analysis and asset condition analysis for short-term operations planning.

FUSION-T Predictive Grid Enhancement Manager: Provides time-series based automated predictive control suggestions for congestion relief.

FUSION-T Grid Model Manager: Creates and manages power systems and non-power systems models, importing models in widely used formats.

Target Audience

GridAstra's primary customers include transmission utilities, independent system operators (ISOs), regional transmission organizations (RTOs), generation and storage developers, and data center developers.