Cottagers look to go it alone for power

Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

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Germany energy liquidity crisis is straining municipal utilities as gas and power prices surge, margin calls rise, and Russian supply cuts bite, forcing state support, interventions, and emergency financing to stabilize households and businesses.

Key Points

A cash squeeze on German municipal utilities as soaring gas and power prices trigger margin calls and funding gaps.

✅ Margin calls and spot-market purchases strain cash flow

✅ State liquidity lines and EU collateral support proposed

✅ Gazprom cuts, Uniper distress heighten default risks

Germany’s fears that soaring power prices and gas prices could trigger a deeper crisis is starting to get real. 

Several hundred local utilities are coming under strain and need support, according to the head of Germany’s largest energy lobby group. The companies, generally owned by municipalities, supply households and small businesses directly and are a key part of the country’s power and gas network.

“The next step from the government and federal states must be to secure liquidity for these municipal companies,” Kerstin Andreae, chairwoman of the German Association of Energy and Water Industries, told Bloomberg in Berlin. “Prices are rising, and they have no more money to pay the suppliers. This is a big problem.”

Germany’s energy crunch intensified over the weekend after Russia’s Gazprom PJSC halted its key gas pipeline indefinitely, a stark wake-up call for policymakers to reduce fossil fuel dependence. European energy prices have surged again amid concerns over shortages this winter and fears of a worst-case energy scenario across the bloc. 

Many utilities are running into financial issues as they’re forced to cover missing Russian deliveries with expensive supplies on the spot market. German energy giant Uniper SE, which supplies local utilities, warned it will likely burn through a 7 billion-euro ($7 billion) government safety net and will need more help already this month.

Some German local utilities have already sought help, according to a government official, who asked not to be identified in line with briefing rules.  

With Europe’s largest economy already bracing for recession, Chancellor Olaf Scholz’s administration is battling on several fronts, testing the government’s financial capacity. The ruling coalition agreed Sunday on a relief plan worth about 65 billion euros -- part of an emerging energy shield package to contain the fallout of surging costs for households and businesses. 

Starting in October, local utilities will have to pay a levy for the gas acquired, which will further increase their financial burden, Andreae said.

Margin Calls
European gas prices are more than four times higher than usual for this time of year, underscoring why rolling back electricity prices is tougher than it appears for policymakers, as Russia cuts supplies in retaliation for sanctions related to its invasion of Ukraine. When prices peak, energy companies have to pay margin calls, extra collateral required to back their trades.

Read more: Energy Trade Risks Collapsing Over Margin Calls of $1.5 Trillion

The problem has hit local utilities in other countries as well. In Austria, the government approved a 2 billion-euro loan for Vienna’s municipal utility last month. 

The European Union is also planning help, floating gas price cap strategies among other tools. The bloc’s emergency measures will include support for electricity producers struggling to find enough cash to guarantee trades, according to European Commission President Ursula von der Leyen.

The situation has worsened in Germany as some of the country’s big gas importers are reluctant to sell more supplies to some of municipal companies amid fears they could default on payments, Andreae said. 

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Longest Lightning Flash Record confirmed by WMO: a 477.2-mile megaflash spanning Mississippi, Louisiana, and Texas, detected by satellite sensors, highlighting Great Plains supercell storms, lightning safety, and extreme weather monitoring advancements.

Key Points

It is the WMO-verified 477.2-mile megaflash across MS, LA, and TX, detected via satellites.

✅ Spanned 477.2 miles across Mississippi, Louisiana, and Texas

✅ Verified by WMO using space-based lightning detection

✅ Occurs in megaflash-prone regions like the U.S. Great Plains

An almost 500-mile long bolt of lightning that lit up the sky across three US states has set a new world record for longest flash, scientists have confirmed.

The lightning bolt, extended a total of 477.2 miles (768 km) and spread across Mississippi, Louisiana, and Texas.

The previous record was 440.6 miles (709 km) and recorded in Brazil in 2018.

Lightning rarely extends over 10 miles and usually lasts under a second, yet utilities plan for severe weather when building long-distance lines such as the TransWest Express transmission project to enhance reliability.

Another lightning flash recorded in 2020 - in Uruguay and Argentina - has also set a new record for duration at 17.1 seconds. The previous record was 16.7 seconds.

"These are extraordinary records from lightning flash events," Professor Randall Cerveny, the WMO's rapporteur of weather and climate extremes, said.

According to the WMO, both records took place in areas prone to intense storms that produce 'megaflashes', namely the Great Plains region of the United States and the La Plata basin of South America's southern cone, where utilities adapting to climate change is an increasing priority.

Professor Cerveny added that greater extremes are likely to exist and are likely to be recorded in the future thanks to advances in space-based lightning detection technology.

The WMO warned that lightning was a hazard and urged people in both regions and around the world to take caution during storms, which can lead to extensive disruptions like the Tennessee power outages reported after severe weather.

"These extremely large and long-duration lightning events were not isolated but happened during active thunderstorms," lightning specialist Ron Holle said in a WMO statement.

"Any time there is thunder heard, it is time to reach a lightning-safe place".

Previously accepted WMO 'lightning extremes' include a 1975 incident in which 21 people were killed by a single flash of a lightning as they huddled inside a tent in Zimbabwe, and modern events show how dangerous weather can also cut electricity for days, as with the Hong Kong typhoon outages that affected families.

In another incident, 469 people were killed when lightning struck the Egyptian town of Dronka in 1994, causing burning oil to flood the town, and major incidents can also disrupt infrastructure, as seen during the LA power outage following a substation fire.

The WMO notes that the only lightning-safe locations are "substantial" buildings with wiring and plumbing, and dedicated lightning protection training helps reinforce these guidelines, rather than structures such as bus stops or those found at beaches.

Fully enclosed metal-topped vehicles are also considered reliably safe, and regional storm safety tips offer additional guidance.

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Wave Energy Converters can deliver marine power to the grid, with DOE-backed PacWave enabling offshore testing, robust designs, and renewable electricity from oscillating waves to decarbonize coastal communities and replace diesel in remote regions.

Key Points

Wave energy converters are devices that transform waves' oscillatory motion into electricity for the grid or loads.

✅ DOE's PacWave enables full-scale, grid-connected offshore testing.

✅ Multiple designs convert oscillating motion into torque and power.

✅ Ideal for islands, microgrids, and replacing diesel generation.

Waves off the coast of the U.S. could generate 2.64 trillion kilowatt hours of electricity per year — that’s about 64% of last year’s total utility-scale electricity generation in the U.S. We won’t need that much, but one day experts do hope that wave energy will comprise about 10-20% of our electricity mix, alongside other marine energy technologies under development today.

“Wave power is really the last missing piece to help us to transition to 100% renewables, ” said Marcus Lehmann, co-founder and CEO of CalWave Power Technologies, one of a number of promising startups focused on building wave energy converters.

But while scientists have long understood the power of waves, it’s proven difficult to build machines that can harness that energy, due to the violent movement and corrosive nature of the ocean, combined with the complex motion of waves themselves, even as a recent wave and tidal market analysis highlights steady advances.

″Winds and currents, they go in one direction. It’s very easy to spin a turbine or a windmill when you’ve got linear movement. The waves really aren’t linear. They’re oscillating. And so we have to be able to turn this oscillatory energy into some sort of catchable form,” said Burke Hales, professor of cceanography at Oregon State University and chief scientist at PacWave, a Department of Energy-funded wave energy test site off the Oregon Coast. Currently under construction, PacWave is set to become the nation’s first full-scale, grid-connected test facility for these technologies, a milestone that parallels U.K. wind power lessons on scaling new industries, when it comes online in the next few years.

“PacWave really represents for us an opportunity to address one of the most critical barriers to enabling wave energy, and that’s getting devices into the open ocean,” said Jennifer Garson, Director of the Water Power Technologies Office at the U.S. Department of Energy.

At the beginning of the year, the DOE announced $25 million in funding for eight wave energy projects to test their technology at PacWave, as offshore wind forecasts underscore the growing investor interest in ocean-based energy. We spoke with a number of these companies, which all have different approaches to turning the oscillatory motion of the waves into electrical power.

Different approaches
Of the eight projects, Bay Area-based CalWave received the largest amount, $7.5 million. 

″The device we’re testing at PacWave will be a larger version of this,” said Lehmann. The x800, our megawatt-class system, produces enough power to power about 3,000 households.”

CalWave’s device operates completely below the surface of the water, and as waves rise and fall, surge forward and backward, and the water moves in a circular motion, the device moves too. Dampers inside the device slow down that motion and convert it into torque, which drives a generator to produce electricity, a principle mirrored in some wind energy kite systems as they harvest aerodynamic forces.

“And so the waves move the system up and down. And every time it moves down, we can generate power, and then the waves bring it back up. And so that oscillating motion, we can turn into electricity just like a wind turbine,” said Lehmann.

Another approach is being piloted by Seattle-based Oscilla Power, which was awarded $1.8 million from the DOE, and is getting ready to deploy its wave energy converter off the coast of Hawaii, at the U.S. Navy Wave Energy Test site.

Oscilla Power’s device is composed of two parts. One part floats on the surface and moves with the waves in all directions — up and down, side to side and rotationally. This float is connected to a large, ring-shaped structure which hangs below the surface, and is designed to stay relatively steady, much like how underwater kites leverage a stable reference to generate power. The difference in motion between the float and the ring generates force on the connecting lines, which is used to rotate a gearbox to drive a generator.

″The system that we’re deploying in Hawaii is what we call the Triton-C. This is a community-scale system,” said Balky Nair, CEO of Oscilla Power. “It’s about a third of the size of our flagship product. It’s designed to be 100 kilowatt rated, and it’s designed for islands and small communities.”

Nair is excited by wave energy’s potential to generate electricity in remote regions, which currently rely on expensive and polluting diesel imports to meet their energy needs when other renewables aren’t available, and similar tidal energy for remote communities efforts in Canada point to viable models. Before wave energy is adopted at-scale, many believe we’ll see wave energy replacing diesel generators in off-the-grid communities.

A third company, C-Power, based in Charlottesville, Virginia, was awarded more than $4 million to test its grid-scale wave energy converter at PacWave. But first, the company wants to commercialize its smaller scale system, the SeaRAY, which is designed for lower-power applications. 

″Think about sensors in the ocean, research, metocean data gathering, maybe it’s monitoring or inspection,” said C-Power CEO Reenst Lesemann on the initial applications of his device.

The SeaRAY consists of two floats and a central body, the nacelle, which contains the drivetrain. As waves pass by, the floats bob up and down, rotating about the nacelle and turning their own respective gearboxes which power the electric generators.

Eventually, C-Power plans to scale up its SeaRAY so that it’s capable of satellite communications and deep water deployments, before building a larger system, called the StingRAY, for terrestrial electricity generation.

Meanwhile, one Swedish company, Eco Wave Power, is taking another approach completely, eschewing offshore technologies in favor of simpler wave power devices that can be installed on breakwaters, piers, and jetties.

“All the expensive conversion machinery, instead of being inside the floaters like in the competing technologies, is on land just like a regular power station. So basically this enables a very low installation, operation, and maintenance cost,” explained CEO Inna Braverman.

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U.S. Wind Generation surpassed hydroelectric output in 2019, EIA data shows, becoming the top renewable electricity source, driven by PTC incentives, expanded capacity, and utility-scale projects across states, boosting the national electricity mix.

Key Points

U.S. Wind Generation is the nation's top renewable, surpassing hydro as EIA-tracked capacity grows under PTC incentives.

✅ EIA: wind topped hydro in 2019, over 300M MWh generated

✅ PTC credits spurred growth in utility-scale wind projects

✅ 103 GW installed; 77% added in the last decade

Last year saw wind power surging in the U.S. to overtake hydroelectric generation for the first time, according to data from the U.S. Energy Information Administration (EIA).

Released Wednesday, the figures from the EIA’s “Electric Power Monthly” report show that yearly wind generation hit a little over 300 million megawatt hours (MWh) in 2019. This was roughly 26 million MWh more than hydroelectric production.

Wind now represents the “most-used renewable electricity generation source” in the U.S., the EIA said, and renewables hit a 28% monthly record in April in later data.

Overall, total renewable electricity generation — which includes sources such as solar's 4.7% share in 2022 as one example, geothermal and landfill gas — at utility scale facilities hit more than 720 million MWh in 2019, compared to just under 707 million MWh in 2018. To put things in perspective, generation from coal came to more than 966 million MWh in 2019, while renewables surpassed coal in 2022 nationally according to later analyses.

According to the EIA’s “Today in Energy” briefing, which was also published Wednesday, generation from wind power has grown “steadily” across the last decade, and by 2020, renewables became the second-most prevalent source in the U.S. power mix.

This, it added, was partly down to the extension of the Production Tax Credit, or PTC, amid favorable government plans supporting solar and wind growth. According to the EIA, the PTC is a system which gives operators a tax credit per kilowatt hour of renewable electricity production. It applies for the first 10 years of a facility’s operation.

At the end of 2019, the country was home to 103 gigawatts (GW) of wind capacity, with 77% of this being installed in the last decade, and wind capacity surpassed hydro in 2016 according to industry data. The U.S. is home 80 GW of hydroelectric capacity, according to the EIA.

“The past decade saw a steady increase in wind capacity across the country and we capped the decade with a monumental achievement for the industry in reaching more than 100 GW,” Tom Kiernan, the American Wind Energy Association’s CEO, said in a statement issued Thursday.

“And more wind energy is coming, as the industry is well into investing $62 billion in new projects over the next few years that put us on the path to achieving 20 percent of the nation’s electricity mix in 2030,” Kiernan went on to state.

“As a result, wind is positioned to remain the largest renewable energy generator in the country for the foreseeable future.”

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BC Hydro Rate Freeze delivers immediate relief on electricity rates in British Columbia, reversing a planned 3% hike, as BCUC oversight, a utility review, and Site C project debates shape provincial energy policy.

Key Points

A one-year provincial policy halting BC Hydro electricity rate hikes while a utility review finds cost savings.

✅ Freeze replaces planned 3% hike approved by BCUC.

✅ Government to conduct comprehensive BC Hydro review.

✅ Critics warn $150M revenue loss impacts capital projects.

British Columbia's NDP government has announced it will freeze BC Hydro rates effective immediately, fulfilling a key election promise.

Energy, Mines and Petroleum Resources Minister Michelle Mungall says hydro rates have gone up by more than 24 per cent in the last four years and by more than 70 per cent since 2001, reflecting proposals such as a 3.75% increase over two years announced previously.

"After years of escalating electricity costs, British Columbians deserve a break on their bills," Mungall said in a news release.

BC Hydro had been approved by the B.C. Utilities Commission to increase the rate by three per cent next year, but Mungall said it will pull back its request in order to comply with the freeze.

In the meantime, the government says it will undertake a comprehensive review of the utility meant to identify cost-savings measures for customers often asked to pay an extra $2 a month on electricity bills.

The Liberal critic, Tracy Redies, says the one year rate freeze is going to cost BC Hydro, calling it a distraction from the bigger issue of the future of the Site C project and the oversight of a BC Hydro fund surplus as well.

"A one year rate freeze costs Hydro $150 million," Redies said. "That means there's $150 million less to invest in capital projects and other investments that the utility needs to make."

"This is putting off decisions that should be made today to the future."

Recommendations from the review — including possible new rates — will be implemented starting in April 2019.

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