In developing advanced grid analytics, PNNL collaborates with industry stakeholders to create the control room of the future and to develop planning functions that address emerging power grid requirements. Our platform merges cutting-edge modeling with data science, engineering, and economics, delivering comprehensive insights that empower quicker, more effective planning. Analysts can mine data such as real-time asset metrics and weather factors, then apply smart grid analytics to optimize performance of connected devices in the field. Solvyn is designed to integrate with existing plant infrastructure, OEMs, devices, and control systems. This unique facility integrates industry hardware and software, real-time grid data, and advanced computation in two control rooms. By incorporating third-party data, utilities can predict the potential impact of storms to customers and infrastructure, which supports more proactive planning.
Discover how you can turn this dark data into valuable insights. Much of utilities’ data is dark (unknown or unused). Learn how they can directly address utilities’ biggest challenges. Set the stage for the advanced technologies that create a true “smart grid. Minimize chaos, damage, and outages by leveraging the GridOS software portfolio.
From maximizing reliability amidst increased renewables to bolstering resilience https://nebrdecor.com/air-conditioning-service-reliable-solutions-for-home-and-business.html to severe weather, GridOS provides end-to-end support. More renewablesGE Vernova Grid Software customers have managed clean energy grids with up to 70% renewables penetration. Ease the process and smooth out the complexity by leveraging GridOS software to orchestrate the grid. As these advanced solutions reach the power grid community, the grid will become more resilient, secure, and flexible. For the Department of Homeland Security, PNNL supports the National Infrastructure Simulation and Analysis Center, which focuses on protecting the nation’s critical infrastructure.
Integrated Grid Planning
AMI 2.0 modernizes the utility backbone, reshaping how utilities demonstrate performance, manage regulatory complexity, and quantify ROI. Add the control and intelligence layers you need without rebuilding your entire technology stack. 25+ years in software development and IT infrastructure. Turbine controller integration, ramp-rate management, and frequency response.
Low-CodeNo BoundariesYour Data, Your Way.
- It will be reshaped by technologies, such as low-cost battery storage, rooftop photovoltaics and microgrids that can operate in grid-connected or island mode, and IoT connectivity of smart devices.
- Plant data is combined with forecasts, operational constraints and market intelligence, so AURA can inform decisions, and the control layer can turn them into action.
- Analytics is driving the work of designing new products and services that will improve value to customers.
- How utility companies are capitalizing on the exponential growth of data sources
AI layered on AMI data helps utilities identify energy-burdened households and boost affordability. Critical plant control remains on premises. Deploy SCADA, PPC, EMS, Solvyn X, AURA or the capabilities you need today, and expand as your operational requirements grow.
Historically, utility companies generated power in one central location and then used their own dedicated grid to deliver electricity to customers. It’s a new day in an https://ecrfeg.org/what-almost-no-one-knows-about-6/ industry that hasn’t seen much major evolution until now. How utility companies are capitalizing on the exponential growth of data sources
It may not be apparent to most energy consumers, but big changes are happening in the utility industry – innovation fueled by the Internet of Things (IoT) and smart grid analytics. Landis+Gyr’s Cloud-based Analytics solution unlocks smarter, faster, and more data-driven decisions by turning the growing volume and flow of data into actionable insights—delivering increased grid reliability, resiliency, and consumer empowerment. Landis+Gyr’s Analytics Solutions comprise a comprehensive AI-driven Software as a Service (SaaS) suite to turn complex data into clear, actionable intelligence for you and your consumers. AI-enabled risk planning transforms grid resilience with real-time data, predictive modeling, and visualizations that drive faster, smarter decisions.
- From detecting outages and pinpointing power quality issues to optimizing load management and EV detection, our platform empowers you to act swiftly, minimizing downtime and improving service reliability.
- For a power grid to maintain maximum reliability and efficiency, operators need to know what’s happening across the system, and locally, as it happens.
- Advanced renewables management technology is essential for ensuring a reliable, efficient, and sustainable supply of electricity.
- PNNL uses computing, modeling, and simulation to provide predictive capabilities for managing grid dynamics and uncertainties.
- By incorporating third-party data, utilities can predict the potential impact of storms to customers and infrastructure, which supports more proactive planning.
Covering Digital Twin Models, EMS Dispatch Logic,AURA Intelligence, and grid-interactive control systems.
Solvyn Studio is a no-code, low-code dashboard builder that gives every role operators, managers, and executives Turns forecasts into schedules for hybrid and storage plants. SCADA and telemetry unify every asset into one operational picture. The platform gets sharper every cycle. Unifying SCADA, EMS, and PPC into a single, high-performance command center.
Explore the benefits of grid orchestration
Solvyn can be deployed across both new and operating assets, adding intelligence, visibility and control while working with the infrastructure already in place. Some of the world’s largest electric utilities, grid operators, and market operators already use GridOS and its grid orchestration technology. GridOS is the first software portfolio designed specifically for grid orchestration, empowering utilities to navigate the energy transition.