SLAC-led project will use AI to prevent or minimize electric grid failuresSeptember 14, 2017
Menlo Park, Calif. -- A project led by the Department of Energy's SLAC National Accelerator Laboratory will combine artificial intelligence with massive amounts of data and industry experience from a dozen U.S. partners to identify places where the electric grid is vulnerable to disruption, reinforce those spots in advance and recover faster when failures do occur.
The eventual goal is an autonomous grid that seamlessly absorbs routine power fluctuations from clean energy sources like solar and wind and quickly responds to disruptive events -- from major storms to eclipse-induced dips in solar power -- with minimal intervention from humans.
"This project will be the first of its kind to use artificial intelligence and machine learning to improve the resilience of the grid," said Sila Kiliccote, director of SLAC's Grid Integration, Systems and Mobility lab, GISMo, and principal investigator for the project. "While the approach will be tested on a large scale in California, Vermont and the Midwest, we expect it to have national impact, and all the tools we develop will be made available either commercially or as open source code."
Called GRIP, for Grid Resilience and Intelligence Project, the project builds on other efforts to collect massive amounts of data and use it to fine-tune grid operations, including SLAC's VADER project. It's one of seven Grid Modernization Laboratory Consortium projects aimed at boosting grid resilience that will receive up to $32 million in funding as part of the DOE's Grid Modernization Initiative. GRIP was awarded up to $6 million over three years.
The project will use both machine learning, where computers ingest large amounts of data and teach themselves how a system behaves, and artificial intelligence, which uses the knowledge the machines have acquired to solve problems.
SLAC's GISMo lab, which works with Stanford University, utilities and other industry partners on smart grid technology, will develop machine learning algorithms that digest data from satellite imagery, utility operations and other sources and build knowledge about how electrical distribution systems work.
"One of the first places we will test our data analytics platform is at a major California utility," Kiliccote said. "The idea is to populate the platform with information about what your particular part of the grid looks like, in terms of things like solar and wind power sources, batteries where energy is stored, and how it's laid out to distribute power to homes and businesses. Then you begin to look for anomalies - things that could be configured better."
For instance, she said, a grid can be divided into "islands," or microgrids, that can be isolated to prevent a power disruption from spreading and taking the whole system down.
"You can also learn a lot just from satellite imagery," Kiliccote said. "For example, you could see where vegetation is growing with respect to the power lines, and anticipate when trees are likely to grow over the power lines and pull them over during a storm."
The knowledge and tools developed by the project will be passed along to another partner in the project, the National Rural Electric Cooperative Association (NRECA), which represents 834 distribution cooperatives that provide electricity to an estimated 42 million people in 47 states. The association will help deploy the tools the team develops on standard utility industry platforms, make them available to its members and help the team integrate them into existing industry planning and operational workflows.
One of those members, Vermont Electric Cooperative, has already been working with Packetized Energy, which develops software and hardware that adjust the power consumption of water heaters and other thermostat-controlled devices when the grid becomes overloaded or the power supply from renewables fluctuates. "We're working with both of them to build additional controls into that system and demonstrate how we can absorb grid events by reducing loads and moving them around," Kiliccote said.
Another partner, the DOE's Lawrence Berkeley National Laboratory, will be deploying and validating control systems it has developed for solar inverters that automatically convert the variable direct current from photovoltaic systems to AC current that's fed into the grid.
"Berkeley Lab has pioneered the development of algorithms that can optimally manage distributed energy resources, like wind, solar and batteries, and are completely plug and play," said Dan Arnold, a research scientist who is leading the Berkeley Lab part of the project. "In this project we're partnering with SLAC to deploy and test our approach in a real utility network. With these algorithms, we hope to be able to create an electric grid that can use distributed energy resources to automatically reconfigure itself to maximize reliability during normal operations or emergencies."
SLAC National Accelerator Laboratory is supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.
The DOE's Grid Modernization Initiative (GMI) works with public and private partners to develop the concepts, tools, and technologies needed to measure, analyze, predict, protect, and control the grid of the future. The Grid Modernization Laboratory Consortium (GMLC) was established as a strategic partnership between DOE and the national laboratories to bring together leading experts, technologies, and resources to collaborate on the goal of modernizing the nation's grid.
DOE/SLAC National Accelerator Laboratory
Related Artificial Intelligence Articles:
One of the greatest challenges facing artificial intelligence development is understanding the human brain and figuring out how to mimic it.
A computer's ability to predict a patient's lifespan simply by looking at images of their organs is a step closer to becoming a reality, thanks to new research led by the University of Adelaide.
Artificial intelligence doesn't have to be super-sophisticated to make a difference in people's lives, according to a new Yale University study.
Researchers are training artificial intelligence models to identify tuberculosis (TB) on chest X-rays, which may help screening and evaluation efforts in TB-prevalent areas with limited access to radiologists, according to a new study.
In debates over the future of artificial intelligence, many experts think of the new systems as coldly logical and objectively rational.
The Government of Canada is funding a Pan-Canadian Artificial Intelligence Strategy for research and talent that will cement Canada's position as a world leader in AI.
The University of Manchester is leading a consortium to investigate advanced technologies, including robotics and artificial intelligence, for the operation and maintenance of offshore windfarms.
Interventional radiologists at the University of California at Los Angeles (UCLA) are using technology found in self-driving cars to power a machine learning application that helps guide patients' interventional radiology care, according to research presented today at the Society of Interventional Radiology's 2017 Annual Scientific Meeting.
The UPV/EHU's Department of Physical Chemistry has conducted world-class research in physics and quantum computation.
Life Extension (LE) launched a new line of nutraceuticals called GEROPROTECTTM, and the first product in the series called Ageless Cell combines some of the natural compounds that were shortlisted by Insilico Medicine's algorithms and are generally recognized as safe (GRAS).
Related Artificial Intelligence Reading:
Artificial Intelligence: A Modern Approach
by Stuart Russell (Author)
Brand New View Details
Life 3.0: Being Human in the Age of Artificial Intelligence
by Max Tegmark (Author)
New York Times Best Seller
How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial.
How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make... View Details
Applied Artificial Intelligence: A Handbook For Business Leaders
by Mariya Yao (Author), Adelyn Zhou (Author), Marlene Jia (Author)
***Selected as a CES 2018 Top Technology Book of the Year ***
"Artificial intelligence" is the buzzword of the day. You've no doubt read your fair share of media hype either proclaiming doom and gloom where robots seize our jobs or prophesying a new utopia where AI cures all our human problems. But what does it actually mean for your role as a business leader?
Applied Artificial Intelligence is a practical guide for business leaders who are passionate about leveraging machine intelligence to enhance the productivity of their organizations and the quality of life in their... View Details
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
by Steven Finlay (Author)
Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organisations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical... View Details
The Industries of the Future
by Alec Ross (Author)
The New York Times bestseller, from leading innovation expert Alec Ross, a “fascinating vision” (Forbes) of what’s next for the world and how to navigate the changes the future will bring.
While Alec Ross was working as Senior Advisor for Innovation to the Secretary of State, he traveled to forty-one countries, exploring the latest advances coming out of every continent. From startup hubs in Kenya to R&D labs in South Korea, Ross has seen what the future holds.
In The Industries of the Future, Ross provides a “lucid and informed guide”... View Details
Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom (Author)
A New York Times bestseller
Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life.
The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new... View Details
Artificial Intelligence: 101 Things You Must Know Today About Our Future
by Lasse Rouhiainen (Author)
Did you know that artificial intelligence is changing our world faster than we can imagine? It will impact every area of our lives. And this is happening whether we like it or not. Artificial intelligence will help us do almost everything better, faster and cheaper, and it will profoundly change industries such as transportation, tourism, healthcare, education, retail, agriculture, finance, sales and marketing. In fact, AI will dramatically change our entire society. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a... View Details
Artificial Intelligence For Dummies (For Dummies (Computer/Tech))
by John Mueller (Author), Luca Massaron (Author)
Step into the future with AI
The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today.
Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in... View Details
Our Final Invention: Artificial Intelligence and the End of the Human Era
by James Barrat (Author)
Elon Musk named Our Final Invention one of 5 books everyone should read about the future
A Huffington Post Definitive Tech Book of 2013
In as little as a decade, artificial intelligence could match and then surpass human intelligence. Corporations and government agencies around the world are pouring billions into achieving AI's Holy Grail―human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful, and... View Details
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
by Aurélien Géron (Author)
Graphics in this book are printed in black and white.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building... View Details