en.Wedoany.com Reported - Corinex Corp. and Plexigrid S.L. have signed a strategic cooperation agreement to jointly launch the "Corinex Plexigrid Intelligence" platform, which is based on high-precision energy data and designed for low-voltage and medium-voltage grid operations.

Against the backdrop of the widespread adoption of high-energy-consuming artificial intelligence, accelerated electrification in the industrial and transportation sectors, and significant growth in distributed energy resources, grid operators are facing the most severe technical challenges in decades: the need to plan, operate, and control in real time a decentralized, intermittent, bidirectional power system comprising millions of distributed energy resources. Addressing this challenge requires achieving entirely new levels of real-time transparency, intelligence, and control in low-voltage and medium-voltage grid areas, which is the core objective of this collaboration.
Corinex's products are responsible for monitoring and intervening in the physical grid, while Plexigrid's software models and optimizes the grid. This partnership combines these two complementary capabilities, connecting real-time field data with digital twin analysis, capacity decisions, and flexibility measures. The integrated solution helps energy suppliers identify grid voltage conditions in real time, determine available capacity, and respond when the grid reaches its limits.
Based on Corinex's broadband power line (BPL) architecture and edge computing capabilities, the solution distributes sensing, processing, and intelligence throughout the grid, enabling Plexigrid's digital twin to obtain richer and more accurate information about grid components.
Transmission networks achieve real-time modeling and operation at each node through high-resolution measurement technologies and rely on dedicated topology teams to maintain precise electrical topology structures to meet "observability" requirements. However, extending this approach from thousands of transmission nodes to tens of millions of distribution nodes would cost hundreds of billions and require hundreds of thousands of employees, making it impractical, resulting in 99% of grid nodes remaining unmodeled. Plexigrid offers an alternative: its digital twin is equipped with a Bayesian artificial intelligence layer that reconstructs electrical topology and grid states from systems already in use by grid operators, such as GIS for field operations and AMI for billing, creating transparency and control in previously unobserved or only partially observed areas. However, these Bayesian digital twins cannot achieve the time resolution and accuracy of transmission control systems.
Corinex's BPL elevates the performance of the digital twin to a new level by adding a low-latency, high-resolution instrumentation and control layer, supplementing the information grid operators obtain from assets such as meters and feeders. The Corinex "Grid Intelligence Node" installed on low-voltage lines adds measurement points, providing more detailed physical grid measurement data, enabling the digital twin to gain a clearer understanding of load, voltage, power quality, and emerging issues. In performance comparisons, when using PLC smart meters, the digital twin's time resolution is 5-60 minutes, estimation accuracy is approximately 90-95%, operational uncertainty is about 5-10%, required safety margins are around 10-20%, and asset utilization is conservative, at about 80% of the limit. In contrast, with Corinex BPL, time resolution improves to 1 minute, estimation accuracy reaches approximately 99%, operational uncertainty drops to about 1%, required safety margins decrease to around 2%-5%, and asset utilization is optimized, closer to actual limits.
Corinex and Plexigrid use BPL as the architectural foundation for distributed grid intelligence, with the platform processing data near substations, feeders, and grid assets. Grid intelligence is integrated into both solutions, aiming to provide distribution system operators with optimal performance and benefits, supporting real-time data validation, local analysis, and anomaly alerts. The platform also supports modeling, forecasting, planning, reporting, and connectivity with other utility systems, ultimately forming a distributed intelligence layer that connects field conditions with digital models and energy supplier decisions.
Peter Sobotka, Founder and CEO of Corinex Corp., stated that energy suppliers need an intelligence layer capable of observing the physical grid, understanding changing conditions, and supporting rapid action; Corinex provides BPL, GIN, and edge capabilities, while Plexigrid complements this with digital twin and flexibility management functions, aiding in better decisions regarding capacity, investment, and operations. Alberto Méndez, CEO and Co-founder of Plexigrid, noted that this collaboration allows models to be built on high-resolution information from the physical grid, combining distributed processing with advanced grid analysis to lay the foundation for planning, flexibility, and daily operations.
Corinex Corp. provides technology to strengthen low-voltage and medium-voltage grids. Its platform serves as a digital infrastructure for grid capacity, offering utilities the data and control capabilities needed to address bottlenecks, create available capacity, and fully utilize existing assets. Plexigrid develops AI-based digital twin and orchestration solutions for grid transparency, planning, and flexibility management, helping energy suppliers model grid states, identify bottlenecks, assess available capacity, and coordinate flexible resources.










