Smart grids may be rife with dumb security bugs

By Popular Science


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New “smart” electricity meters, beginning to be rolled out across the country, may be rife with bugs that could pose security risks.

The new meters create a smart communication network between the user and the local power plant. The software that powers some of the smart meters, however, is coming under fire from security experts for its lack of adequate protections against malicious hacks.

One expert, hoping to illustrate the risks involved, claims to have created a worm program that infects one of the popular meters, taking control of its functionality and propagating itself further throughout the grid.

The new meters supposedly require no authentication or encryption whenever running functions such as software updates. These vulnerabilities are what the worm, written by the security firm IOActive as a proof of concept, will exploit using peer-to-peer technology to spread. Using it, hackers could potentially control the workings of the grid, turning on and off power to users, or even reconfiguring the entire systemÂ’s settings.

These smart meters were a result of a $4.5 billion stimulus plan by the Obama administration to update electrical grids across the country to make them smarter and more efficient. This could allow meter values to be sent directly to the company rather than requiring a meter reader to stop off at each userÂ’s house. It also can shift, in real-time, the demands on the power grid to provide electricity where needed and change rates based on the electricity being used and what is available.

However, in order to receive larger chunks of the stimulus money, companies raced each other to create a smart meter that worked. Perhaps in the rush, the amount of testing needed was reduced and security issues may have been compromised.

Several companies have created their own smart meter products and it is as yet unclear which ones, if any, are affected by a lack of security. The worm described will only be shown at a security conference occurring next month, so weÂ’ll have to wait to see if the claims are true and on what scale.

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Greening Ontario's electricity grid would cost $400 billion: report

Ontario Electricity Grid Decarbonization outlines the IESO's net-zero pathway: $400B investment, nuclear expansion, renewables, hydrogen, storage, and demand management to double capacity by 2050 while initiating a 2027 natural gas moratorium.

 

Key Points

A 2050 plan to double capacity, retire gas, and invest $400B in nuclear, renewables, and storage for a net-zero grid.

✅ $400B over 25 years to meet net-zero electricity by 2050

✅ Capacity doubles to 88,000 MW; demand grows ~2% annually

✅ 2027 gas moratorium; build nuclear, renewables, storage

 

Ontario will need to spend $400 billion over the next 25 years in order to decarbonize the electricity grid and embrace clean power according to a new report by the province’s electricity system manager that’s now being considered by the Ford government.

The Independent System Electricity Operator (IESO) was tasked with laying out a path to reducing Ontario’s reliance on natural gas for electricity generation and what it would take to decarbonize the entire electricity grid by 2050.

Meeting the goal, the IESO concluded, will require an “aggressive” approach of doubling the electricity capacity in Ontario over the next two-and-a-half decades — from 42,000 MW to 88,000 MW — by investing in nuclear, hydrogen and wind and solar power while implementing conservation policies and managing demand.

“The process of fully eliminating emissions from the grid itself will be a significant and complex undertaking,” IESO president Lesley Gallinger said in a news release.

The road to decarbonization, the IESO said, begins with a moratorium on natural gas power generation starting in 2027 as long as the province has “sufficient, non-emitting supply” to meet the growing demands on the grid.

The approach, however, comes with significant risks.

The IESO said hydroelectric and nuclear facilities can take 10 to 15 years to build and if costs aren’t controlled the plan could drive up the price of clean electricity, turning homeowners and businesses away from electrification.

“Rapidly rising electricity costs could discourage electrification, stifle economic growth or hurt consumers with low incomes,” the report states.

The IESO said the province will need to take several “no regret” actions, including selecting sites and planning to construct new large-scale nuclear plants as well as hydroelectric and energy storage projects and expanding energy-efficiency programs beyond 2024.

READ MORE: Ontario faces calls to dramatically increase energy efficiency rebate programs

Ontario’s minister of energy didn’t immediately commit to implementing the recommendations, citing the need to consult with stakeholders first.

“I look forward to launching a consultation in the new year on next steps from today’s report, including the potential development of major nuclear, hydroelectric and transmissions projects,” Todd Smith said in a statement.

Currently, electricity demand is increasing by roughly two per cent per year, raising concerns Ontario could be short of electricity in the coming years as the manufacturing and transportation sectors electrify and as more sectors consider decarbonization.

At the same time, the province’s energy supply is facing “downward pressure” with the Pickering nuclear power plant slated to wind down operations and the Darlington nuclear generating station under active refurbishment.

To meet the energy need, the Ford government said it intended to extend the life of the Pickering plant until 2026.

READ MORE: Ontario planning to keep Pickering nuclear power station open until 2026

But to prepare for the increase, the Ontario government was told the province would also need to build new natural gas facilities to bridge Ontario’s electricity supply gap in the near term — a recommendation the Ford government agreed to.

The IESO said a request for proposals has been opened and the province is looking for host communities, with the expectation that existing facilities would be upgraded before projects on undeveloped land would be considered.

The IESO said the contract for any new facilities would expire in 2040, and all natural gas facilities would be retired in the 2040s.

 

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Alberta's Path to Clean Electricity

Alberta Clean Electricity Regulations face federal mandates and provincial autonomy, balancing greenhouse gas cuts, net-zero 2050 goals, and renewable energy adoption across wind, solar, and hydro, while protecting jobs and economic stability in energy communities.

 

Key Points

Rules to cut power emissions, boost renewables, and align Alberta with federal net-zero goals under federal mandates.

✅ Phases out coal and curbs greenhouse gas emissions

✅ Expands wind, solar, and hydro to diversify the grid

✅ Balances provincial autonomy with national climate targets

 

In a recent development, Alberta finds itself at a crossroads between provincial autonomy and federal mandates concerning federal clean electricity regulations that shape long-term planning. The province, known for its significant oil and gas industry, faces increasing pressure to align its energy policies with federal climate goals set by Ottawa.

The federal government, under the leadership of Environment Minister Steven Guilbeault, has proposed regulations aimed at reducing greenhouse gas emissions and transitioning towards a cleaner energy future that prioritizes clean grids and batteries across provinces. These regulations are part of Canada's broader commitment to combat climate change and achieve net-zero emissions by 2050.

The Federal Perspective

From Ottawa's standpoint, stringent regulations on Alberta's electricity sector are necessary to meet national climate targets. This includes measures to phase out coal-fired power plants and increase reliance on renewable energy sources such as wind, solar, and hydroelectric power. Minister Guilbeault emphasizes the importance of these regulations in mitigating Canada's carbon footprint and fostering sustainable development.

Alberta's Response

In contrast, Alberta has historically championed provincial autonomy in energy policy, leveraging its vast fossil fuel resources to drive economic growth. The province remains cautious about federal interventions that could potentially disrupt its energy sector, a cornerstone of its economy, especially amid changes to how electricity is produced and paid for now under discussion.

Premier Jason Kenney has expressed concerns over federal overreach, and his influence over electricity policy has shaped proposals in the legislature. He emphasizes the province's efforts in adopting cleaner technologies while balancing economic stability and environmental sustainability.

The Balancing Act

The challenge lies in finding a middle ground between federal imperatives and provincial priorities, as interprovincial disputes like B.C.'s export-restriction challenge complicate coordination. Alberta acknowledges the need to diversify its energy portfolio and reduce emissions but insists on preserving its jurisdiction over energy policy. The province has already made strides in renewable energy development, including investing in wind and solar projects alongside traditional energy sources.

Economic Implications

For Alberta, the transition to cleaner electricity carries significant economic implications as the electricity market heads for a reshuffle in the coming years. It entails navigating the complexities of energy transition, ensuring job retention, and fostering innovation in sustainable technologies. Critics argue that abrupt federal regulations could exacerbate economic hardships, particularly in communities reliant on the fossil fuel industry.

Moving Forward

As discussions continue between Alberta and Ottawa, finding common ground, including consideration of recent market change proposals from the province, remains essential. Collaborative efforts are necessary to develop tailored solutions that accommodate both environmental responsibilities and economic realities. This includes exploring incentives for renewable energy investment, supporting energy sector workers in transitioning to new industries, and leveraging Alberta's expertise in energy innovation.

Conclusion

Alberta's journey towards clean electricity regulation exemplifies the delicate balance between regional autonomy and federal oversight in Canada's complex federal system. While tensions persist between provincial and federal priorities, both levels of government share a common commitment to addressing climate change and advancing sustainable energy solutions.

The outcome of these negotiations will not only shape Alberta's energy landscape but also influence Canada's overall progress towards a greener future. Finding equitable solutions that respect provincial autonomy while achieving national environmental goals remains paramount in navigating this evolving policy landscape.

 

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New England Emergency fuel stock to cost millions

Inventoried Energy Program pays ISO-NE generators for fuel security to boost winter reliability, with FERC approval, covering fossil, nuclear, hydropower, and batteries, complementing capacity markets to enhance grid resilience during severe cold snaps.

 

Key Points

ISO-NE program paying generators to hold fuel or energy reserves for emergencies, boosting winter reliability.

✅ FERC-approved stopgap for 2023 and 2024 winter seasons

✅ Pays for on-site fuel or stored energy during cold-trigger events

✅ Open to fossil, nuclear, hydro, batteries; limited gas participation

 

Electricity ratepayers in New England will pay tens of millions of dollars to fossil fuel and nuclear power plants later this decade under a program that proponents say is needed to keep the lights on during severe winters but which critics call a subsidy with little benefit to consumers or the grid, even as Connecticut is pushing a market overhaul across the region.

Last week the Federal Energy Regulatory Commission said ISO-New England, which runs the six-state power grid, can create what it calls the Inventoried Energy Program or IEP. This basically will pay certain power plants to stockpile of fuel for use in emergencies during two upcoming winters as longer-term solutions are developed.

The federal commission called it a reasonable short-term solution to avoid brownouts which doesn’t favor any given technology.

Not all agree, however, including FERC Commissioner Richard Glick, who wrote a fiery dissent to the other three commissioners.

“The program will hand out tens of millions of dollars to nuclear, coal and hydropower generators without any indication that those payments will cause the slightest change in those generators’ behavior,” Glick wrote. “Handing out money for nothing is a windfall, not a just and reasonable rate.”

The program is the latest reaction by ISO-NE to the winter of 2013-14 when New England almost saw brownouts because of a shortage of natural gas to create electricity during a pair of week-long deep freezes.

ISO-New England says the situation is more critical now because of the possible retirement of the gas-fired Mystic Generating Station in Massachusetts. As with closed nuclear plants such as Vermont Yankee and Pilgrim in Massachusetts, power plant owners say lower electricity prices, partly due to cheap renewables and partly to stagnant demand, means they can’t be profitable just by selling power.

Programs like the IEP are meant to subsidize such plants – “incentivize” is the industry term – even though some argue there is no need to subsidize nuclear in deregulated markets so they’ll stay open if they are needed.

The IEP approved last week will be applied to the winters of 2023 and 2024, after a different subsidy program expires. It sets prices, despite warnings about rushing pricing changes from industry groups, for stocking certain amounts of fuel and payments during any “trigger” event, defined as a day when the average of high and low temperatures at Bradley International Airport in Connecticut is no more than 17 degrees Fahrenheit.

These payments will be made on top of a complex system of grid auctions used to decide how much various plants get paid for generating electricity at which times.

ISO-NE estimates the new program will cost between $102 million and $148 million each winter, depending on weather and market conditions.

It says the payments are open to plants that burn oil, coal, nuclear fuel, wood chips or trash; utility-scale battery storage facilities; and hydropower dams “that store water in a pond or reservoir.” Natural gas plants can participate if they guarantee to have fuel available, but that seems less likely because of winter heating contracts.

A major complaint and groups that filed petitions opposing the project is that ISO-NE presented little supporting evidence of how prices, amount and overall cost were determined. ISO-NE argued that there wasn’t time for such analysis before the Mystic shutdown, and FERC agreed.

“The proposal is a step in the right direction … while ISO-NE finishes developing a long-term market solution,” the commission said in its ruling.

The program is the latest example of complexities facing the nation’s electricity system evolves in the face of solar and wind power, which produce electricity so cheaply that they can render traditional power uneconomic but which can’t always produce power on demand, prompting discussions of Texas grid improvements among policymakers. Another major factor is climate change, which has increased the pressure to support renewable alternatives to plants that burn fossil fuels, as well as stagnant electricity demand caused by increased efficiency.

Opponents, including many environmental groups, say electricity utilities and regulators are too quick to prop up existing systems, as the 145-mile Maine transmission line debate shows, built when electricity was sent one way from a few big plants to many customers. They argue that to combat climate change as well as limit cost, the emphasis must be on developing “non-wire alternatives” such as smart systems for controlling demand, in order to take advantage of the current system in which electricity goes two ways, such as from rooftop solar back into the grid.

 

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How utilities are using AI to adapt to electricity demands

AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

 

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

 

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

 

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Texas utilities struggle to restore power as Harvey hampers progress

Texas Gulf Coast Power Outages from Harvey continue as flooding, high winds, and downed lines paralyze Houston and coastal utilities, while restoration crews from out-of-state work to repair infrastructure and restore electricity across impacted communities.

 

Key Points

Power disruptions across Houston and the Gulf Coast from Harvey, driven by flooding, wind damage, and blocked access.

✅ CenterPoint warns multi-day outages in flooded zones.

✅ AEP Texas aided by crews from Kentucky, Illinois, Missouri.

✅ Entergy expects more outages as storm nears Galveston.

 

Hundreds of thousands of Texans were without power along the Gulf Coast as Tropical Storm Harvey left parts of the Houston area under water, with extended Houston outages compounding response efforts.

There were roughly 280,000 customers without power along the Texas's coast and in Houston and the surrounding areas on Monday, according to reported outages by the state's investor-owned utilities. Harvey, which made landfall on Friday, caused devastating flooding and knocked out power lines along its destructive path, similar to the Louisiana grid rebuild after Laura that required weeks of restoration.

CenterPoint Energy reported more than 100,000 outages earlier on Monday, though that figure was down to 91,744 shortly after 1 p.m. on Monday.

The company said it was unable to access hard-hit areas until floodwaters recede and electric infrastructure dries out, a challenge that, as seen in Florida power restoration efforts elsewhere, has taken weeks to resolve. Outages in the most flooded areas could last for several days, CenterPoint warned.

AEP Texas's coverage area south of Houston had 150,500 customers without electricity as of 11 a.m. ET on Monday. That was down from the peak of its outages on Saturday afternoon, which affected 220,000 customers.

Former FEMA deputy director: Texas has already begun recovery from storm  1:54 PM ET Mon, 28 Aug 2017 | 05:57

Corpus Christi and the surrounding areas along the Gulf Coast were still experiencing the most outages, while persistent Toronto outages after a spring storm underscored how long recovery can take in urban areas. AEP credited assistance from out-of-state workers for helping to get the lights back on.

"Thousands of resources have arrived from across the country to help AEP Texas with restoration efforts following this historic weather event. Crews from Kentucky, Illinois, Missouri and other states have arrived and are working on restoring power to those impacted by Hurricane Harvey," AEP said in a statement.

Entergy reported 29,500 customers were without power on Monday in areas north of Houston. The company warned that additional outages were expected if Harvey moves inland near the island city of Galveston on Wednesday as anticipated, a pattern similar to New Orleans during Ida where electricity failed despite levees holding.

Houston, Beaumont and Victoria are expected to see continued periods of torrential rain through Tuesday, before Harvey begins to move north on Wednesday and out of the flood zone by Thursday.

"Our crews are safely restoring power as quickly as possible, but the continued wind, rain and flooding are having an impact on restoration efforts," Entergy said in a statement.

South of Houston, about 7,500 Texas New Mexico Power Company customers were still experiencing outages, according to the company's outage map.

 

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What 2018 Grid Edge Trends Reveal About 2019

2019 Grid Edge Trends highlight evolving demand response, DER orchestration, real-time operations, AMI data, and EV charging, as wholesale markets seek flexibility and resiliency amid tighter reserve margins and fossil baseload retirements.

 

Key Points

Shifts toward DER-enabled demand response and real-time, behind-the-meter flexibility.

✅ Real-time DER dispatch enhances reliability during tight reserves

✅ AMI and ICT improve forecasting, monitoring, and control of resources

✅ Demand response shifts toward aggregated behind-the-meter orchestration

 

Which grid edge trends will continue into 2019 as the digital grid matures and what kind of disruption is on the horizon in the coming year?

From advanced metering infrastructure endpoints to electric-vehicle chargers, grid edge venture capital investments to demand response events, hundreds of data points go into tracking new trends at the edge of the grid amid ongoing grid modernization discussions across utilities.

Trends across these variables tell a story of transition, but perhaps not yet transformation. Customers hold more power than ever before in 2019, with utilities and vendors innovating to take advantage of new opportunities behind the meter. Meanwhile, external factors can always throw things off-course, including the data center boom that is posing new power challenges, and reliability is top of mind in light of last year's extreme weather events. What does the 2018 data say about 2019?

For one thing, demand response evolved, enabled by new information and communications technology. Last year, wholesale market operators increasingly sought to leverage the dispatch of distributed energy resource flexibility in close to real time. Three independent system operators and regional transmission organizations called on demand response five times in total for relief in the summer of 2018, including the NYISO.

The demand response events called in the last 18 months send a clear message: Grid operators will continue to call events year-round. This story unfolds as reserve margins continue to tighten, fossil baseload generation retirements continue, and system operators are increasingly faced with proving the resiliency and reliability of their systems while efforts to invest in a smarter electricity infrastructure gain momentum across the country.

In 2019, the total amount of flexible demand response capacity for wholesale market participation will remain about the same. However, the way operators and aggregators are using demand response is changing as information and communications technology systems improve and utilities are using AI to adapt to electricity demands, allowing the behavior of resources to be more accurately forecasted, monitored and controlled.

These improvements are allowing customer-sited resources to offer  flexibility services closer to real-time operations and become more reactive to system needs. At the same time, traditional demand response will continue to evolve toward the orchestration of DERs as an aggregate flexible resource to better enable growing levels of renewable energy on the grid.

 

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