Our Technology
ALEX is TREX-AI’s AI-driven DERMS, designed to address operability challenges that emerge at the grid edge.
By aligning asset end-users and grid stakeholder interests and providing automation services, ALEX naturally incentivizes and empowers DERs to support grid operations. No need for micromanagement from the grid stakeholder and/or the end-user.
Dive deeper by downloading our whitepaper, where ALEX is quantitatively benchmarked
Distributed Energy Resources (DERs) hold promise for enhancing energy self-sufficiency and reducing carbon emissions.
Grid stakeholders perceive DERs as harmful because their intermittent nature and low inertia compound the complexity and fragility of electricity grid operations and maintenance.
This stems from a fundamental misalignment of interests between asset end-users and grid stakeholders: a lack of mechanisms that incentivize and enable DER behavior that supports grid operations.
Traditional DER systems prioritize self-sufficiency, while recent solutions, such as Virtual Power Plants (VPPs) and aggregators, aim to bolster grid operations through centralized computation and model predictive control (MPC) optimization.
However, these approaches encounter challenges related to scalability, responsiveness, and sensitivity to aggregating errors and end-user behavior changes, resulting in high costs.
ALEX revolutionizes this paradigm by adopting a bottom-up approach, incentivizing energy coordination and usage at the local level.
Leveraging distributed, decentralized control and automation powered by AI, ALEX ensures high scalability, responsiveness, and robust system behavior while maintaining transparency for end-users.
The result is vastly reduced variability, without requiring information sharing between participants.
