The post Emergent Complex Systems — A Utility Can Bring Itself And Grid Down appeared on BitcoinEthereumNews.com. GULF OF MEXICO – APRIL 21: Fire boats battle a fire at the off shore oil rig Deepwater Horizon April 21, 2010 in the Gulf of Mexico off the coast of Louisiana. Multiple Coast Guard helicopters, planes and cutters responded to rescue the Deepwater Horizons 126 person crew after an explosion and fire caused the crew to evacuate. (Photo by U.S. Coast Guard via Getty Images) Getty Images The in-basket of worries for utility managers is pretty full these days. It contains the growing frequency of severe and extreme weather events, the constant threat of cyber intrusion, the government policy shift from renewables to fossil fuel generation, and the need to find more power to feed the data centers. Add to those worries, the threat of emergent complex systems to the grid. It is an existential threat and was responsible for the Northeast blackout of 2003, which affected over 50 million people in eight states and the Canadian province of Ontario. The blackout began on Aug. 14, when a high-voltage power line in Ohio sagged and touched an overgrown tree due to high heat and demand. This caused the line to go out of service. A software bug in FirstEnergy Corporation’s alarm system failed to alert operators to the line problem, and cascading event got underway. Some customers got their power back within a few hours, but others were without it for a couple of days. Often-Cited Examples To computer scientists, physicists, biologists, even social scientists, this was a classic example of emergent complex systems failure. Other often-cited examples are the collapse of Lehman Brothers Inc. in September 2008, and the Deepwater Horizon oil spill in the Gulf of Mexico in April 2010. John Savage, the retired head of computer science at Brown University, describes emergent complex systems this way:… The post Emergent Complex Systems — A Utility Can Bring Itself And Grid Down appeared on BitcoinEthereumNews.com. GULF OF MEXICO – APRIL 21: Fire boats battle a fire at the off shore oil rig Deepwater Horizon April 21, 2010 in the Gulf of Mexico off the coast of Louisiana. Multiple Coast Guard helicopters, planes and cutters responded to rescue the Deepwater Horizons 126 person crew after an explosion and fire caused the crew to evacuate. (Photo by U.S. Coast Guard via Getty Images) Getty Images The in-basket of worries for utility managers is pretty full these days. It contains the growing frequency of severe and extreme weather events, the constant threat of cyber intrusion, the government policy shift from renewables to fossil fuel generation, and the need to find more power to feed the data centers. Add to those worries, the threat of emergent complex systems to the grid. It is an existential threat and was responsible for the Northeast blackout of 2003, which affected over 50 million people in eight states and the Canadian province of Ontario. The blackout began on Aug. 14, when a high-voltage power line in Ohio sagged and touched an overgrown tree due to high heat and demand. This caused the line to go out of service. A software bug in FirstEnergy Corporation’s alarm system failed to alert operators to the line problem, and cascading event got underway. Some customers got their power back within a few hours, but others were without it for a couple of days. Often-Cited Examples To computer scientists, physicists, biologists, even social scientists, this was a classic example of emergent complex systems failure. Other often-cited examples are the collapse of Lehman Brothers Inc. in September 2008, and the Deepwater Horizon oil spill in the Gulf of Mexico in April 2010. John Savage, the retired head of computer science at Brown University, describes emergent complex systems this way:…

Emergent Complex Systems — A Utility Can Bring Itself And Grid Down

2025/10/31 10:29

GULF OF MEXICO – APRIL 21: Fire boats battle a fire at the off shore oil rig Deepwater Horizon April 21, 2010 in the Gulf of Mexico off the coast of Louisiana. Multiple Coast Guard helicopters, planes and cutters responded to rescue the Deepwater Horizons 126 person crew after an explosion and fire caused the crew to evacuate. (Photo by U.S. Coast Guard via Getty Images)

Getty Images

The in-basket of worries for utility managers is pretty full these days. It contains the growing frequency of severe and extreme weather events, the constant threat of cyber intrusion, the government policy shift from renewables to fossil fuel generation, and the need to find more power to feed the data centers.

Add to those worries, the threat of emergent complex systems to the grid. It is an existential threat and was responsible for the Northeast blackout of 2003, which affected over 50 million people in eight states and the Canadian province of Ontario.

The blackout began on Aug. 14, when a high-voltage power line in Ohio sagged and touched an overgrown tree due to high heat and demand. This caused the line to go out of service.

A software bug in FirstEnergy Corporation’s alarm system failed to alert operators to the line problem, and cascading event got underway. Some customers got their power back within a few hours, but others were without it for a couple of days.

Often-Cited Examples

To computer scientists, physicists, biologists, even social scientists, this was a classic example of emergent complex systems failure. Other often-cited examples are the collapse of Lehman Brothers Inc. in September 2008, and the Deepwater Horizon oil spill in the Gulf of Mexico in April 2010.

John Savage, the retired head of computer science at Brown University, describes emergent complex systems this way: “An emergent system is a system in which complex organized behavior or properties arise from interactions among simpler components, even though none of the individual components exhibit those complex properties on their own.”

In other words, Savage told me, “Emergence occurs when the whole is more than the sum of its parts — the collective behavior cannot be fully predicted or explained just by analyzing the individual elements in isolation.”

Robert Gardner, who has been a leading researcher and instructor on the behavior of emergent complex systems at the National Security Agency, the National Institute of Standards and Technology and leading universities, told me that any endeavor which relies on complex systems is liable to face an emergent failure, but electric utilities and the financial system are most vulnerable to this danger.

For example, Gardner said, the Lehman Brothers crash in 2008 was instigated by bad actors but exacerbated by the complexity of the counterparty networks that made it a gigantic crisis.

“These so-called Complex Adaptive Systems had no nefarious, adversarial actors to defend against; the complex, heterogeneous nature of the systems themselves led to emergent behaviors — behaviors that cannot be predicted by examining individual components, but are rather produced by the system as a whole, facilitating perfect storms that conspire to enable these catastrophes,” he said.

Other major catastrophes that begin with a perturbation deep in the system but have widespread consequences include the Boeing 737 Max 8 autopilot system problems and the Titanic disaster.

Science of Chaos

Some compare the development of a complex emergent failure to the science of chaos, where a minor action on one continent can affect the weather on another.

Software is always of concern because it has often evolved, and the component codes aren’t necessarily known today. They can be a mystery to those dependent on them.

Axiomatically, the bigger the system, the greater the vulnerability and the more stupendous the consequences. For utilities, the big vulnerability is the grid — all or part of it.

The solutions run to ever-greater awareness, building in resilience and having a system that can shut down in parts defensively, and instantly when an unexplained perturbation in normal operations occurs.

As electricity supply gets more complex, more diversified, the chance of emergent disasters grows. No villains, just cantankerous complexity.

EPRI, the research organization for the electric utility industry, has studied emergent complex systems and leans toward thoroughness and robustness in design with in-depth resilience.

Advocates for microgrids see the relative simplicity of these and the ability to insulate them from the grid as a major advantage. Meanwhile, stuff happens.

Source: https://www.forbes.com/sites/llewellynking/2025/10/30/emergent-complex-systems—when-a-utility-system-can-bring-itself-and-the-grid-down/

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Fed Decides On Interest Rates Today—Here’s What To Watch For

Fed Decides On Interest Rates Today—Here’s What To Watch For

The post Fed Decides On Interest Rates Today—Here’s What To Watch For appeared on BitcoinEthereumNews.com. Topline The Federal Reserve on Wednesday will conclude a two-day policymaking meeting and release a decision on whether to lower interest rates—following months of pressure and criticism from President Donald Trump—and potentially signal whether additional cuts are on the way. President Donald Trump has urged the central bank to “CUT INTEREST RATES, NOW, AND BIGGER” than they might plan to. Getty Images Key Facts The central bank is poised to cut interest rates by at least a quarter-point, down from the 4.25% to 4.5% range where they have been held since December to between 4% and 4.25%, as Wall Street has placed 100% odds of a rate cut, according to CME’s FedWatch, with higher odds (94%) on a quarter-point cut than a half-point (6%) reduction. Fed governors Christopher Waller and Michelle Bowman, both Trump appointees, voted in July for a quarter-point reduction to rates, and they may dissent again in favor of a large cut alongside Stephen Miran, Trump’s Council of Economic Advisers’ chair, who was sworn in at the meeting’s start on Tuesday. It’s unclear whether other policymakers, including Kansas City Fed President Jeffrey Schmid and St. Louis Fed President Alberto Musalem, will favor larger cuts or opt for no reduction. Fed Chair Jerome Powell said in his Jackson Hole, Wyoming, address last month the central bank would likely consider a looser monetary policy, noting the “shifting balance of risks” on the U.S. economy “may warrant adjusting our policy stance.” David Mericle, an economist for Goldman Sachs, wrote in a note the “key question” for the Fed’s meeting is whether policymakers signal “this is likely the first in a series of consecutive cuts” as the central bank is anticipated to “acknowledge the softening in the labor market,” though they may not “nod to an October cut.” Mericle said he…
Share
BitcoinEthereumNews2025/09/18 00:23