AI Changes Power Delivery

November 13, 2017

Artificial intelligence has already changed the way our lives progress daily, and will continue to do so the more advances are made in that field.  What is amazing is how AI concepts can be applied to nearly every industry in the world and T&D World takes a look at how it has affected the power grid, “Artificial Intelligence Is Changing The Power-Delivery Grid.”  The author introduces the article explaining how he has noticed that when people say Thomas Edison would be familiar with today’s modern innovations and how it is a put down to the industry.

In truth, Edison would be hard pressed to rationalize today’s real-time mechanics and AI structure.  AI is an important development in all fields from medical to finance, but it plays an important role in the modern power grid:

Some of us call situational awareness technology machine learning, but most of us use the more common term of artificial intelligence (AI). AI is being used on the grid right now and it is more widespread than you might think. Case in point: In June, the U.S. Department of Energy held its 2017 Transmission Reliability Program in Washington, D.C., and there were several AI presentations. The presentation that caught my attention was about using advanced machine learning with synchrophasor technology. Synchrophasor technology generates a great deal of data using phasor measurement units (PMUs) to measure voltage and current of the grid, which can be used to calculate parameters such as frequency and phase angle.

Edison would not feel at home, instead, he would want to get his toolset and tear the power grid apart to figure out how it worked.  Geniuses may be ahead of their time, but they still are products of their own.

Whitney Grace, November 13, 2017


One Response to “AI Changes Power Delivery”

  1. Alessandr Argentini on November 13th, 2017 5:38 am

    I agree.
    Machines can do an amazing amount of checks and computations in fractions of second (if already properly booted) and can actuate lightning speed automatic decisions in quasi real time.
    But also… things can go wrong, nobody can really controll the safty of millions lines programs, nor predict how a self learning algorit will evolve.
    It is IMPORTANT to remember the possibility of completely shut down manually every machine (not just a software actuated stand-by, real manually actuated, mechanic overriding should be ever foreseen, especially in applications that involves high energies and possible life threatening applications.
    Human should always keep ultimate control in his hands.

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