Achieve business outcomes that matter
Measure, manage, and operationalize your sustainability goals – including decarbonization, energy resources management, and reduced WAGES.
Achieve operations visibility and AI-based optimization, linking plant-floor actions to your enterprise sustainability initiatives.
A system of record to automate accurate GHG data collection, provide valuable insights, and identify ways to reduce carbon emissions
One modular solution to connect, see, control, and optimize DERs from a technical and an economic standpoint
Reduced operational costs and risks using Digital Twins, machine learning and predictive models
Increased network reliability
Advanced analytics to predict future asset and process performance for reduced variability and improved operations
Optimized asset performance to reduce risk and improve safety, reliability, compliance, and efficiency
Optimize assets and processes – from plant-level operations to the enterprise – with self-service process analytics software.
Minimized potential impact of anomalies
Comprehensive visibility of asset health for rapid situational adjustments with quality information
Streamlined mechanical integrity solution to reduce risk, maintain compliance and optimize resources
Develop, implement, maintain, and optimize asset strategies to effectively balance cost and risk
Operational visibility and analysis to reduce asset failures, control costs and increase availability
Performance Intelligence with APM Reliability is your partner in meeting your plant and fleet performance goals.
Predictive analytics software, helps prevent equipment downtime by detecting, diagnosing, forecasting & preventing emerging failures.
The AI-powered product automatically explores the space of operation of gas turbines, builds a machine learning model, and continuously finds the optimal flame temperatures and fuel splits to minimize emissions
BoilerOpt works within existing plant technology to improve boiler productivity and air-fuel ratios in a closed-loop system
Pre-built templates for equipment health monitoring, asset strategies, and process workflows
Operator rounds efficiency and operational impact
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A globally recognized benchmark for procurement of OT secure products.
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Native cloud service for a data historian.
Safe and secure management and orchestration of the distribution grid
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Overcome foreseeable load variations
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Effective management and orchestration to unlock the power of renewables and DERs
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End-to-end network connectivity modeling and data workflow management
Software designed to help grid operators orchestrate the grid
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Best practices and proven deployment learnings
In-depth understanding of how GE Digital software can help your operations
Holistic performance management for today’s connected enterprise
Management of fast-moving processes as well as slower moving, labor-intensive jobs
Cost savings with improved manufacturing overall equipment effectiveness
Batch automation, regardless of the underlying equipment
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Materials to help you better understand GE Digital software and its robust functionality
Integrated solutions for improved efficiency and sustainability while supporting business growth
Energy management for the zero carbon grid
Reliable mobilization of network assets to ensure maximum transmission of energy from multiple sources
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Getting the most benefit out of digitization and industrial IoT
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Best practices for your industrial processes to help build and maintain operational resilience
GE Digital’s expert service and support teams create value and deliver on business objectives
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The cornerstone of your journey to operational excellence
Operational excellence including improved reliability, reduced costs and managed risk
GridOS, the first grid software portfolio designed for grid orchestration
Reduced operational costs and risks using predictive models
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Field-connected operations and management
One modular solution that enables grid operators to connect, see, control, and optimize DERs from a technical and an economic standpoint
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GE Digital software is the backbone of modern plant operations
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AI/ML to make your gas turbine's fuel and air controls smarter
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Achieve digital transformation
Expert service teams to maximize the benefits from your IIoT software
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Analytics to predict future asset and process performance for reduced variability & improved operations
A common network view to ensure integrity, network validity and infrastructure management
Mission critical software to better operate, optimize and analyze your work to deliver results
Locate the best partners to meet your needs
Digital transformation acceleration
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Product training, industry education, and rigorous certification programs
More efficient and secure electric grid, greater sustainability and waste reduction
Solutions for today, scale for tomorrow
Increased reliability and reduced reactive maintenance leading to higher efficiency and reduced costs
Using Digital Twin blueprints, GE's Industrial Managed Services team monitors 7,000+ global assets
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Success stories and product updates from the world of Electrification Software
Analyst and third-party expert opinions of Electrification Software and our software and services
White papers, product overviews, and other content to help you put your industrial data to work
Experience in leading edge software development and business working with best-in-class leaders
Understand how Electrification software and services helps our customers solve today's toughest challenges
One of the toughest challenges transmission grid operators face today is the integration of renewables as part of the wider energy transition. As renewables penetration amplifies, so do the challenges associated with intermittent power generation. That’s because intermittency introduces variability that makes it incredibly hard for transmission grid operators to guarantee a reliable flow of power for their customers.
The European Network of Transmission Operators (ENTSO-e) has been driving automation and optimization efforts to help manage this balance across Europe, and this is very important in the Nordics, where power grids are coupled and balance is key. Coordination of load frequency control (LFC) is an important part of the solution, and Fingrid joined forces with GE Vernova’s grid software team to develop LFC in a modular and expandable way that addresses requirements mandated for electricity balancing.
Today, Fingrid uses GE Vernova’s Advanced Energy Management System (AEMS) software to help enable orchestration of renewables at scale. The AEMS is compatible with GridOS® – the first software portfolio designed specifically for grid orchestration – which means it integrates with AI-driven GridOS applications across the grid to better support and/or leverage an evolving ecosystem of grid orchestration solutions. This gives Fingrid access to modern, more flexible capabilities that help automate grid balancing and control processes and led to the rapid development of a new GridOS LFC module.
Here is a look at three GridOS benefits Fingrid is realizing today as it leans into LFC:
European utilities, who must comply with ENTSO-e’s network codes, are working quickly to optimize utilization of secondary reserves. Modular GridOS applications like Load Frequency Control, which can deploy quickly to serve a specific use case, are helping utilities manage the complexity of these fast-changing regulations.
The GridOS LFC module continually monitors frequency changes caused by various types of power fluctuations. When the solution detects a fluctuation, it quickly determines how to best respond and automatically adjusts generator frequency back to its nominal value. GridOS LFC fully meets the requirements established by ENTSO-e System Operation Guideline (SOGL) and market guidelines like the Electricity Balancing Guideline (EBGL). It can also be integrated with the Platform for the International Coordination of Automated Frequency Restoration and Stable System Operation (PICASSO) platform.
By automating the control process with GridOS LFC, Fingrid is working to better protect its transmission grid and ensure a steady flow of power to customers.
Orchestrating the modern grid with all its complexities requires an enormous amount of data. However, much of that information has traditionally been hard to access because outdated point solutions typically hold data within silos.
The GridOS portfolio provides a better way forward. Applications that run on the GridOS platform are able to leverage a federated grid data fabric designed to break down data silos, improving visibility and access to energy information. Having easier access to a variety of relevant, important energy data unlocks the use of digital twins – empowering utilities to not just enable automated grid control, but also model the grid for simulations and predictive operations. The modern grid cannot afford to have crucial data within a tight silo. Data must be in an open, accessible platform to reap its full benefits.
GridOS Load Frequency Control benefits from a microservices-based architecture. In contrast to traditional monolithic architectures, a microservices-based architecture structures an application or module as a collection of services that are:
Because of this architecture, Fingrid was able to more quickly and easily deploy GridOS Load Frequency Control and will be able to adapt the software to accommodate changing market rules as they evolve. Such updates may even be done in real time, with little to no disruption to power flow.
Fingrid leverages GridOS LFC every day to meet its ENTSO-e requirements and satisfy the demands of a grid powered by more and more renewables. It is an important asset in Fingrid’s control room that helps ensure a steady and reliable flow of power as the utility navigates the variability of renewables
For more information on why Fingrid uses GridOS, watch “How GridOS helps Fingrid navigate the energy transition.”
GE Digital, Grid Software CTO, BSc., MSc., PhD
Dr. Andrew Gillies leads the GridOS® architecture and technology strategy for Grid Software. Since 2015, he led the early validation of the modern transformative technologies that now form the core of the GE Digital GridOS® strategy. In 2019, bringing together orchestrated microservice architectures, containers, Kubernetes, Kafka, and other cloud-native technologies, he and his team operationally demonstrated a full suite of real-time Wide Area Monitoring System (WAMS) analytics and successfully delivered one of the world’s largest WAMS using this technology. Andrew played a key role in the Inertia innovation project, contributing to machine learning architecture and successful deployment on private cloud infrastructure. Together with teams in Edinburgh and Massy, he has been instrumental in the development of Load Frequency Control applications, expanding the modular portfolio into grid automation. Prior to GE, Andrew led global operations for Psymetrix, a startup focused on WAMS synchrophasor-based solutions. Additionally, he co-authored "Principles of Computational Modelling in Neuroscience" by Sterratt, D., Graham, B., Gillies, A., Willshaw, D., published by Cambridge University Press in 2011.
For more information about orchestrating renewables with grid software, contact the GE Vernova Grid Software team online or at 1-833-690-5552.