The key holding in: artificial intelligence


This is a big improvement from 2005, when the recovery from Hurricane Wilma was 18 days. Technology return on investment. Now, FPL is found to reduce the recovery time further, by using artificial intelligence, sensors and drones, to better determine the interrupt and to decide how best to solve these problems.

“After a storm, we want the data,”said Michael putt, the company’s smart grid and innovative Director. “How quickly can I get the images and information back?” These new tools help to optimize decision-making in the first 12 to 24 hours after a storm, he said, help get a read of the damage in areas, otherwise you may need a few days to visit.

Innovation is sweeping through the entire world of the grid, as utilities and power transmission companies turn to new technologies to respond to the interrupt and save money. They also prepare for an increasingly complex electronic future as homeowners and businesses install solar panels and wind turbines and other renewable energy the productivity of a batch, you can also send it back to the grid.

The old model of the power station feeder road one way trip to the houses crumbling. Power companies increasingly need Amnesty International and the software, to predict when, its powers will be available and automated, to ensure that the power to get what it needs, when needed, without overloading the system.

“We found that some need artificial intelligence and the opportunities of artificial intelligence to improve the three pillars of the power system operation, planning, and preparedness and response to disruptions,”said Mark Petri, Director of electricity network in Al Argonne in Illinois.

On the web operate, he said, AI was able to put the data from the existing electrical equipment to make it run more efficiently. Agung also with the power system operators to use AI to feed the grid data to plan how to get from power purchase the power plant, thus saving money.

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Even more the AI will likely be necessary in the future as the grid becomes more difficult to manage. When a large proportion of people own electric cars, for example, the late charges period, when people get home from work will lead to a shift in the use of the grid will need to adapt. Maintain network equipment from rupture becomes even more complex the task, the solar feeding power back to the system.

“You’ve got to produce sufficient capacity to support ongoing needs, but then as a renewable energy source to online and offline becomes more complex, it becomes more critical the software, you can manage all of these renewable energy sources,”said Pat Byrne, chief Executive of GE’s digital business. The company’s sales analysis software, to help manage this shift, as well as some of the so-called”digital twins”or simulations to help predict how the behavior of the device in different conditions. Such tools, power system operators can dynamically control the force generated wind and gas turbines, to ensure that no one turbine is running too hot when electricity demand rises, thereby preventing wear.

Battery, it can store energy from wind and solar energy, is another area where AI can play a role in the grid of the future. A firm, dry Inc. Florida,California helping companies in the United States the source of the battery system, then the use of the software, called Athena, to learn the company’s consumption patterns, and autonomously decide when to use battery power, to avoid time-consuming price is the highest, in the middle of a hot day, for example.

As market power becomes more open, such software can make money for battery owners, through a form of arbitrage that serves as the power is cheap and pay it to the grid, the more expensive it is.

Dry with more than 1,000 of the battery-deployment of the system across the United States—just a fraction of what is possible, if the battery prices drop, according to forecasts, in 2019 analysis by the National Renewable Energy Laboratory, in U.S. Department of energy.

Of course, building a better, more reliable power grid is a challenge for utilities, which have historically been slow to adopt new technologies or hire a data scientist and coder.

FPL is trying to show technology investment can pay dividends, for example, by installing the analysis tool, in the historical data, and use it to narrow down the source of the interrupt, the small extension wire problem most likely, saving time and money.

Florida Power and light uses artificial intelligence with its fleet of unmanned aircraft. The device in the picture is deliberately off help software, learn to recognize when something is not working.


Photo:

Florida Power and Light Company

The so-called smart switches take in response to an interrupt step, automatically shut down the entire community, when there is a problem—lightning hit a telephone extremely example—then gravity to isolate the interrupt and turn the fight where possible. FPL estimates that those auto-healing switch to prevent 546,000 during the interruption of Hurricane Irma, and plans to install more of them in the future.

Today, FPL has more than 40 drones to handle the interrupt and can expand the number and use of contractors after a big storm. In utility, is also the pilot of the tilt sensor and other technologies, to detect whether each 1. 2 million poles damaged.

Solve the equation to keep the grid reliable and efficient in the age of renewable energy and electric vehicles may require more technology, Mr. Putt said.

“This is a kinds of destruction of the utilities are looking for”, he said. “The more renewable energy access goals, but it is more difficult to carry these and communication, sensors and data to help us accommodate more renewable energy future.”

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