Blame old meters for high rates: minister

Frisco 100% Renewable Electricity Goal outlines decarbonization via Xcel Energy, wind, solar, and battery storage, enabling beneficial electrification and a smarter grid for 100% municipal power by 2025 and community-wide clean electricity by 2035.

Key Points

Frisco targets 100% renewable electricity: municipal by 2025, community by 2035, via Xcel decarbonization.

✅ Municipal operations to reach 100% renewable electricity by 2025

✅ Community-wide electricity to be 100% carbon-free by 2035

✅ Partnerships: Xcel Energy, wind, solar, storage, grid markets

Frisco has now set a goal of 100-per-cent renewable energy, joining communities on the road to 100% renewables across the country. But unlike some other resolutions adopted in the last decade, this one isn't purely aspirational. It's swimming with a strong current.

With the resolution adopted last week by the town council, Frisco joins 10 other Colorado towns and cities, plus Pueblo and Summit counties, a trend reflected in tracking progress on clean energy targets reports nationwide, in adopting 100-per-cent goals.

The goal is to get the municipality's electricity to 100-per-cent by 2025 and the community altogether by 2035, a timeline aligned with scenarios showing zero-emissions electricity by 2035 is possible in North America.

Decarbonizing electricity will be far easier than transportation, and transportation far easier than buildings. Many see carbon-free electricity as being crucial to both, a concept called "beneficial electrification," and point to ways to meet decarbonization goals that leverage electrified end uses.

Electricity for Frisco comes from Xcel Energy, an investor-owned utility that is making giant steps toward decarbonizing its power supply.

Xcel first announced plans to close its work-horse power plants early to take advantage of now-cheap wind and solar resources plus what will be the largest battery storage project east of the Rocky Mountains. All this will be accomplished by 2026 and will put Xcel at 55 per cent renewable generation in Colorado.

In December, a week after Frisco launched the process that produced the resolution, Xcel announced further steps, an 80 percent reduction in carbon dioxide emissions by 2030 as compared to 2050 levels. By 2050, the company vows to be 100 per cent "carbon-free" energy by 2050.

Frisco's non-binding goals were triggered by Fran Long, who is retired and living in Frisco. For eight years, though, he worked for Xcel in helping shape its response to the declining prices of renewables. In his retirement, he has also helped put together the aspirational goal adopted by Breckenridge for 100-per-cent renewables.

A task force that Long led identified a three-pronged approach. First, the city government must lead by example. The resolution calls for the town to spend $25,000 to $50,000 annually during the next several years to improve energy efficiency in its municipal facilities. Then, through an Xcel program called Renewable Connect, it can pay an added cost to allow it to say it uses 100-per-cent electricity from renewable sources.

Beyond that, Frisco wants to work with high-end businesses to encourage buying output from solar gardens or other devices that will allow them to proclaim 100-per-cent renewable energy. The task force also recommends a marketing program directed to homes and smaller businesses.

Goals of 100-per-cent renewable electricity are problematic, given why the grid isn't 100% renewable today for technical and economic reasons. Aspen Electric, which provides electricity for about two-thirds of the town, by 2015 had secured enough wind and hydro, mostly from distant locations, to allow it to proclaim 100 per cent renewables.

In fact, some of those electrons in Aspen almost certainly originate in coal or gas plants. That doesn't make Aspen's claim wrong. But the fact remains that nobody has figured out how, at least at affordable cost, to deliver 100-per-cent clean energy on a broad basis.

Xcel Energy, which supplies more than 60 per cent of electricity in Colorado, one of six states in which it operates, has a taller challenge. But it is a very different utility than it was in 2004, when it spent heavily in advertising to oppose a mandate that it would have to achieve 10 per cent of its electricity from renewable sources by 2020.

Once it lost the election, though, Xcel set out to comply. Integrating renewables proved far more easily than was feared. It has more than doubled the original mandate for 2020. Wind delivers 82 per cent of that generation, with another 18 per cent coming from community, rooftop, and utility-scale solar.

The company has become steadily more proficient at juggling different intermittent power supplies while ensuring lights and computers remain on. This is partly the result of practice but also of relatively minor technological wrinkles, such as improved weather forecasting, according to an Energy News Network story published in March.

For example, a Boulder company, Global Weather corporation, projects wind—and hence electrical production—from turbines for 10 days ahead. It updates its forecasts every 15 minutes.

Forecasts have become so good, said John T. Welch, director of power operations for Xcel in Colorado, that the utility uses 95 per cent to 98 per cent of the electricity generated by turbines. This has allowed the company to use its coal and natural gas plants less.M

Moreover, prices of wind and then solar declined slowly at first and then dramatically.

Xcel is now comfortable that existing technology will allow it to push from 55 per cent renewables in 2026 to an 80 per cent carbon reduction goal by 2030.

But when announcing their goal of emissions-free energy by mid-century in December, the company's Minneapolis-based chief executive, Ben Fowke, and Alice Jackson, the chief executive of the company's Colorado subsidiary, freely admitted they had no idea how they will achieve it. "I have a lot of confidence they will be developed," Fowke said of new technologies.

Everything is on the table, they said, including nuclear. But also including fossil fuels, if the carbon dioxide can be sequestered. So far, such technology has proven prohibitively expensive despite billions of dollars in federal support for research and deployment. They suggested it might involve new technology.

Xcel's Welch told Energy News Network that he believes solar must play a larger role, and he believes solar forecasting must improve.

Storage technology must also improve as batteries are transforming solar economics across markets. Batteries, such as produced by Tesla at its Gigafactory near Reno, can store electricity for hours, maybe even a few days. But batteries that can store large amounts of electricity for months will be needed in Colorado. Wind is plentiful in spring but not so much in summer, when air conditioners crank up.

Increased sharing of cheap renewable generation among utilities will also allow deeper penetration of carbon-free energy, a dynamic consistent with studies finding wind and solar could meet 80% of demand with improved transmission. Western US states and Canadian provinces are all on one grid, but the different parts are Balkanized. In other words, California is largely its own energy balancing authority, ensuring electricity supplies match electricity demands. Ditto for Colorado. The Pacific Northwest has its own balancing authority.

If they were all orchestrated as one in an expanded energy market across the West, however, electricity supplies and demands could more easily be matched. California's surplus of solar on summer afternoons, for example, might be moved to Colorado.

Colorado legislators in early May adopted a bill that requires the state's Public Utilities Commission to begin study by late this year of an energy imbalance market or regional transmission organization.

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Energy equity in utility regulation prioritizes fair rates, clean energy access, and DERs, addressing fixed charges and energy burdens on low-income households through stakeholder engagement and public utility commission reforms.

Key Points

Fairly allocates clean energy benefits and rate burdens, ensuring access and protections for low-income households.

✅ Reduces fixed charges that burden low-income households

✅ Funds community participation in utility proceedings

✅ Prioritizes DERs, energy efficiency, and solar in impacted areas

By Kiran Julin

Pouring over the line items on your monthly electricity bill may not sound like an enticing way to spend an afternoon, but the way electricity bills are structured has a significant impact on equitable energy access and distribution. For example, fixed fees can have a disproportionate impact on low-income households. And combined with other factors, low-income households and households of color are far more likely to report losing home heating service, with evidence from pandemic power shut-offs highlighting these disparities, according to recent federal data.

Advancing Equity in Utility Regulation, a new report published by the U.S. Department of Energy’s (DOE’s) Lawrence Berkeley National Laboratory (Berkeley Lab), makes a unifying case that utilities, regulators, and stakeholders need to prioritize energy equity in the deployment of clean energy technologies and resources, aligning with a people-and-planet electricity future envisioned by advocacy groups. Equity in this context is the fair distribution of the benefits and burdens of energy production and consumption. The report outlines systemic changes needed to advance equity in electric utility regulation by providing perspectives from four organizations — Portland General Electric, a utility company; the National Consumer Law Center, a consumer advocacy organization; and the Partnership for Southern Equity and the Center for Biological Diversity, social justice and environmental organizations.
 
“While government and ratepayer-funded energy efficiency programs have made strides towards equity by enabling low-income households to access energy-efficiency measures, that has not yet extended in a major way to other clean-energy technologies,” said Lisa Schwartz, a manager and strategic advisor at Berkeley Lab and technical editor of the report. “States and utilities can take the lead to make sure the clean-energy transition does not leave behind low-income households and communities of color. Decarbonization and energy equity goals are not mutually exclusive, and in fact, they need to go hand-in-hand.”

Energy bills and electricity rates are governed by state laws and utility regulators, whose mission is to ensure that utility services are reliable, safe, and fairly priced. Public utility commissions also are increasingly recognizing equity as an important goal, tool, and metric, and some customers face major changes to electric bills as reforms advance. While states can use existing authorities to advance equity in their decision-making, several, including Illinois, Maine, Oregon, and Washington, have enacted legislation over the last couple of years to more explicitly require utility regulators to consider equity.

“The infrastructure investments that utility companies make today, and regulator decisions about what goes into electricity bills, including new rate design steps that shape customer costs, will have significant impacts for decades to come,” Schwartz said.

Solutions recommended in the report include considering energy justice goals when determining the “public interest” in regulatory decisions, allocating funding for energy justice organizations to participate in utility proceedings, supporting utility programs that increase deployment of energy efficiency and solar for low-income households, and accounting for energy inequities and access in designing electricity rates, while examining future utility revenue models as technologies evolve.

The report is part of the Future of Electric Utility Regulation series that started in 2015, led by Berkeley Lab and funded by DOE, to encourage informed discussion and debate on utility trends and tackling the toughest issues related to state electric utility regulation. An advisory group of utilities, public utility commissioners, consumer advocates, environmental and social justice organizations, and other experts provides guidance.

Taking stock of past and current energy inequities

One focus of the report is electricity bills. In addition to charges based on usage, electricity bills usually also have a fixed basic customer charge, which is the minimum amount a household has to pay every month to access electricity. The fixed charge varies widely, from $5 to more than $20. In recent years, utility companies have sought sizable increases in this charge to cover more costs, amid rising electricity prices in some markets.

This fixed charge means that no matter what a household does to use energy more efficiently or to conserve energy, there is always a minimum cost. Moreover, low-income households often live in older, poorly insulated housing. Current levels of public and utility funding for energy-efficiency programs fall far short of the need. The combined result is that the energy burden – or percent of income needed to keep the lights on and their homes at a healthy temperature – is far greater for lower-income households.

“While all households require basic lighting, heating, cooling, and refrigeration, low-income households must devote a greater proportion of income to maintain basic service,” explained John Howat and Jenifer Bosco from the National Consumer Law Center and co-authors of Berkeley Lab’s report. Their analysis of data from the most recent U.S. Energy Information Administration’s Residential Energy Consumption Survey shows households with income less than $20,000 reported losing home heating service at a pace more than five times higher than households with income over $80,000. Households of color were far more likely than those with a white householder to report loss of heating service. In addition, low-income households and households of color are more likely to have to choose between paying their energy bill or paying for other necessities, such as healthcare or food.

Based on the most recent data (2015) from the U.S. Energy Information Administration (EIA), households with income less than $20,000 reported losing home heating service at a rate more than five times higher than households with income over $80,000. Households of color were far more likely than those with a white householder to report loss of heating service. Click on chart for larger view. (Credit: John Howat/National Consumer Law Center, using EIA data)

Moreover, while many of the infrastructure investment decisions that utilities make, such as whether and where to build a new power plant, often have long-term environmental and health consequences, impacted communities often are not at the table. “Despite bearing an inequitable proportion of the negative impacts of environmental injustices related to fossil fuel-based energy production and climate change, marginalized communities remain virtually unrepresented in the energy planning and decision-making processes that drive energy production, distribution, and regulation,” wrote Chandra Farley, CEO of ReSolve and a co-author of the report.

Engaging impacted communities
Each of the perspectives in the report identify a need for meaningful engagement of underrepresented and disadvantaged communities in energy planning and utility decision-making. “Connecting the dots between energy, racial injustice, economic disinvestment, health disparities, and other associated equity challenges becomes a clarion call for communities that are being completely left out of the clean energy economy,” wrote Farley, who previously served as the Just Energy Director at Partnership for Southern Equity. “We must prioritize the voices and lived experiences of residents if we are to have more equity in utility regulation and equitably transform the energy sector.”

In another essay in the report, Nidhi Thaker and Jake Wise from Portland General Electric identify the importance of collaborating directly with the communities they serve. In 2021, the Oregon Legislature passed Oregon HB 2475, which allows the Oregon Public Utility Commission to allocate ratepayer funding for organizations representing people most affected by a high energy burden, enabling them to participate in utility regulatory processes.

The report explains why energy equity requires correcting inequities resulting from past and present failures as well as rethinking how we achieve future energy and decarbonization goals. “Equity in energy requires adopting an expansive definition of the ‘public interest’ that encompasses energy, climate, and environmental justice. Energy equity also means prioritizing the deployment of distributed energy resources and clean energy technologies in areas that have been hit first and worst by the existing fossil fuel economy,” wrote Jean Su, energy justice director and senior attorney at the Center for Biological Diversity.

This report was supported by DOE’s Grid Modernization Laboratory Consortium, with funding from the Office of Energy Efficiency and Renewable Energy and the Office of Electricity.

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Ontario Global Adjustment Deferral offers COVID-19 electricity bill relief to industrial and commercial consumers not on the RPP, aligning GA to March levels for Class A and Class B manufacturers to improve cash flow.

Key Points

A temporary GA deferral easing electricity costs for Ontario industrial and commercial users not on the RPP.

✅ Sets Class B GA at $115/MWh; Class A gets equal percentage cut.

✅ Applies April-June 2020; automatic bill adjustments and credits.

✅ Deferred charges repaid over 12 months starting January 2021.

Manufacturers welcome the Government of Ontario's decision to defer a portion of Global Adjustment (GA) charges as part of support for industrial and commercial electricity consumers that do not participate in the Regulated Price Plan.

"Manufacturers are pleased the government listened to Canadian Manufacturers & Exporters (CME) member recommendations and is taking action to reduce Ontario electricity bills immediately," said Dennis Darby, President & CEO of CME.

"The majority of manufacturers have identified cash flow as their top concern during the crisis, "added Darby. "The GA system would have caused a nearly $2 billion cost surge to Ontario manufacturers this year. This new initiative by the government is on top of the billions in support already provided to help manufacturers weather this unprecedented storm, while other provinces accelerate British Columbia's clean energy shift to drive long-term competitiveness. All these measures are a great start in helping businesses of all sizes stay afloat during the crisis and, keeping Ontarians employed."

"We call on the Ontario government to continue to consider the impact of electricity costs on the manufacturing sector, even after the COVID-19 crisis is resolved," stated Darby. "High prices are putting Ontario manufacturers at a significant competitive disadvantage and, discourages investments." A recent report from London Economics International (LEI) found that when compared to jurisdictions with similar manufacturing industries, Ontario's electricity prices can be up to 75% more expensive, underscoring the importance of planning for Toronto's growing electricity needs to maintain affordability.

To provide companies with temporary immediate relief on their electricity bills, the Ontario government is deferring a portion of Global Adjustment (GA) charges for industrial and commercial electricity consumers that do not participate in the Regulated Price Plan (RPP), starting from April 2020, as some regions saw reduced electricity demand from widespread remote work during the pandemic. The GA rate for smaller industrial and commercial consumers (i.e., Class B) has been set at $115 per megawatt-hour, which is roughly in line with the March 2020 value. Large industrial and commercial consumers (i.e., Class A) will receive the same percentage reduction in GA charges as Class B consumers.

The Ontario government intends to keep this relief in place through the end of June 2020, alongside investments like smart grid technology in Sault Ste. Marie to support reliability, subject to necessary extensions and approvals to implement this initiative.

Industrial and commercial electricity consumers will automatically see this relief reflected on their bills. Consumers who have already received their April bill should see an adjustment on a future bill.

Related initiatives include developing cyber standards for electricity sector IoT devices to strengthen system security.

The government intends to bring forward subsequent amendments that would, if approved, recover the deferred GA charges (excluding interest) from industrial and commercial electricity consumers, as Toronto prepares for a surge in electricity demand amid continued growth, over a 12-month period beginning in January 2021.

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Nuclear Power Revival drives decarbonization, climate change mitigation, and energy security with SMRs, Generation IV designs, baseload reliability, and policy support, complementing renewables to meet net-zero targets and growing global electricity demand.

Key Points

A global shift back to nuclear energy, leveraging SMRs and advanced reactors to cut emissions and enhance energy security.

✅ SMRs offer safer, modular, and cost-effective deployment.

✅ Provides baseload power to complement intermittent renewables.

✅ Policy support and investments accelerate advanced designs.

In recent years, nuclear power has experienced a remarkable revival in public interest, policy discussions, and energy investment. Once overshadowed by controversies surrounding safety, waste management, and high costs, nuclear energy is now being reexamined as a vital component of the global energy transition, despite recurring questions such as whether it is in decline from some commentators. Here's why nuclear power is "so hot" right now:

1. Climate Change Urgency

One of the most compelling reasons for the renewed interest in nuclear energy is the urgent need to address climate change. Unlike fossil fuels, nuclear power generates electricity with zero greenhouse gas emissions during operation. As countries rush to meet net-zero carbon targets, evidence that net-zero may require nuclear is gaining traction, and nuclear offers a reliable, large-scale alternative to complement renewable energy sources like wind and solar.

2. Energy Security and Independence

Geopolitical tensions and supply chain disruptions have exposed vulnerabilities in relying on imported fossil fuels, and Europe's shrinking nuclear capacity has sharpened concerns over resilience. Nuclear power provides a domestic, stable energy source that can operate independently of volatile global markets. For many nations, this has become a strategic priority, reducing dependence on politically sensitive energy imports.

3. Advances in Technology

Modern innovations in nuclear technology are transforming the industry. Small Modular Reactors (SMRs) are leading the way as part of next-gen nuclear innovation, offering safer, more affordable, and flexible options for nuclear deployment. Unlike traditional large-scale reactors, SMRs can be built faster, scaled to specific energy needs, and deployed in remote or smaller markets.

Additionally, advances in reactor designs, such as Generation IV reactors and fusion research, promise to address longstanding concerns like waste management and safety. For example, some new designs can recycle spent fuel or run on alternative fuels, significantly reducing radioactive waste.

4. Public Perception Is Shifting

Public opinion on nuclear power is also changing. While the industry faced backlash after high-profile incidents like Chernobyl and Fukushima, increasing awareness of climate change and energy security is prompting many to reconsider, including renewed debates such as Germany's potential nuclear return in policy circles. A younger, climate-conscious generation views nuclear energy not as a relic of the past, but as an essential tool for a sustainable future.

5. Renewables Alone Are Not Enough

While renewable energy sources like solar and wind have grown exponentially, their intermittent nature remains a challenge. Energy storage technologies, such as batteries, have not yet matured enough to fully bridge the gap. Nuclear power, with its ability to provide constant, "baseload" energy, as France's fleet demonstrates in practice, serves as an ideal complement to variable renewables in a decarbonized energy mix.

6. Government Support and Investment

Policymakers are taking action to bolster the nuclear sector. Many countries are including nuclear energy in their clean energy plans, offering subsidies, grants, and streamlined regulations to accelerate its deployment. For instance, the United States has allocated billions of dollars to support advanced nuclear projects, the UK's green industrial revolution outlines support for upcoming reactor waves, while Europe has classified nuclear power as "sustainable" under its green taxonomy.

7. Global Energy Demand Is Growing

As populations and economies grow, so does the demand for electricity. Developing nations, in particular, are seeking energy solutions that can support industrialization while limiting environmental impact. Nuclear energy is being embraced as a way to meet these dual objectives, especially in regions with limited access to consistent renewable energy resources.

Challenges Ahead

Despite its potential, nuclear energy is not without its challenges. High upfront costs, lengthy construction timelines, and public concerns over safety and waste remain significant hurdles. The industry will need to address these issues while continuing to innovate and build public trust.

Nuclear power's resurgence is driven by its unique ability to tackle some of the most pressing challenges of our time: climate change, energy security, and the growing demand for electricity. With advances in technology, changing perceptions, and robust policy support, nuclear energy is poised to play a critical role in the global transition to a sustainable and secure energy future.

In a world increasingly shaped by the need for clean and reliable power, nuclear energy has once again become a hot topic—and for good reason.

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IESO Fictitious Demand Error inflated HOEP in the Ontario electricity market, after embedded generation was mis-modeled; the OEB says double-counted load lifted wholesale prices and shifted costs via the Global Adjustment.

Key Points

An IESO modeling flaw that double-counted load, inflating HOEP and charges in Ontario's wholesale market.

✅ Double-counted unmetered load from embedded generation

✅ Inflated HOEP; shifted costs via Global Adjustment

✅ OEB flagged transparency; exporters paid more

For almost a year, the operator of Ontario’s electricity system erroneously counted enough phantom demand to power a small city, causing prices to spike and hundreds of millions of dollars in extra charges to consumers, according to the provincial energy regulator.

The Independent Electricity System Operator (IESO) also failed to tell anyone about the error once it noticed and fixed it.

The error likely added between $450 million and $560 million to hourly rates and other charges before it was fixed in April 2017, according to a report released this month by the Ontario Energy Board’s Market Surveillance Panel.

It did this by adding as much as 220 MW of “fictitious demand” to the market starting in May 2016, when the IESO started paying consumers who reduced their demand for power during peak periods. This involved the integration of small-scale embedded generation (largely made up of solar) into its wholesale model for the first time.

The mistake assumed maximum consumption at such sites without meters, and double-counted that consumption.

The OEB said the mistake particularly hurt exporters and some end-users, who did not benefit from a related reduction of a global adjustment rate applicable to other customers.

“The most direct impact of the increase in HOEP (Hourly Ontario Energy Price) was felt by Ontario consumers and exporters of electricity, who paid an artificially high HOEP, to the benefit of generators and importers,” the OEB said.

The mix-up did not result in an equivalent increase in total system costs, because changes to the HOEP are offset by inverse changes to a electricity cost allocation mechanism such as the Global Adjustment rate, the OEB noted.

A chart from the OEB's report shows the time of day when fictitious demand was added to the system, and its influence on hourly rates.

Peak time spikes
The OEB said that the fictitious demand “regularly inflated” the hourly price of energy and other costs calculated as a direct function of it.

For almost a year, Ontario's electricity system operator @IESO_Tweets erroneously counted enough phantom demand to power a small city, causing price spikes and hundreds of millions in charges to consumers, @OntEnergyBoard says. @5thEstate reports.

It estimated the average increase to the HOEP was as much as $4.50/MWh, but that price spikes, compounded by scheduled OEB rate changes, would have been much higher during busier times, such as the mid-morning and early evening.

“In times of tight supply, the addition of fictitious demand often had a dramatic inflationary impact on the HOEP,” the report said.

That meant on one summer evening in 2016 the hourly rate jumped to $1,619/MWh, it said, which was the fourth highest in the history of the Ontario wholesale electricity market.

“Additional demand is met by scheduling increasingly expensive supply, thus increasing the market price. In instances where supply is tight and the supply stack is steep, small increases in demand can cause significant increases in the market price.

The OEB questioned why, as of September this year, the IESO had failed to notify its customers or the broader public, amid a broader auditor-regulator dispute that drew political attention, about the mistake and its effect on prices.

“It's time for greater transparency on where electricity costs are really coming from,” said Sarah Buchanan, clean energy program manager at Environmental Defence.

“Ontario will be making big decisions in the coming years about whether to keep our electricity grid clean, or burn more fossil fuels to keep the lights on,” she added. “These decisions need to be informed by the best possible evidence, and that can't happen if critical information is hidden.”

In a response to the OEB report on Monday, the IESO said its own initial analysis found that the error likely pushed wholesale electricity payments up by $225 million. That calculation assumed that the higher prices would have changed consumer behaviour, while upcoming electricity auctions were cited as a way to lower costs, it said.

In response to questions, a spokesperson said residential and small commercial consumers would have saved $11 million in electricity costs over the 11-month period, even as a typical bill increase loomed province-wide, while larger consumers would have paid an extra $14 million.

That is because residential and small commercial customers pay some costs via time-of-use rates, including a temporary recovery rate framework, the IESO said, while larger customers pay them in a way that reflects their share of overall electricity use during the five highest demand hours of the year.

The IESO said it could not compensate those that had paid too much, given the complexity of the system, and that the modelling error did not have a significant impact on ratepayers.

While acknowledging the effects of the mistake would vary among its customers, the IESO said the net market impact was less than $10 million, amid ongoing legislation to lower electricity rates in Ontario.

It said it would improve testing of its processes prior to deployment and agreed to publicly disclose errors that significantly affect the wholesale market in the future.

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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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