Hydro-Quebec begins talks for $185-billion strategy to wean the province off fossil fuels

PG&E Wind Shutdown and Renewable Reliability examines PSPS strategy, wildfire risk, transmission line exposure, wind turbine cut-out speeds, grid stability, and California's energy mix amid historic high-wind events and supply constraints across service areas.

Key Points

An overview of PG&E's PSPS decisions, wildfire mitigation, and how wind cut-out limits influence grid reliability.

✅ Wind turbines reach cut-out near 55 mph, reducing generation.

✅ PSPS mitigates ignition from damaged transmission infrastructure.

✅ Baseload diversity improves resilience during high-wind events.

According to the official, widely reported story, Pacific Gas & Electric (PG&E) initiated power shutoffs across substantial portions of its electric transmission system in northern California as a precautionary measure.

Citing high wind speeds they described as “historic,” the utility claims that if it didn’t turn off the grid, wind-caused damage to its infrastructure could start more wildfires.

Perhaps that’s true. Perhaps. This tale presumes that the folks who designed and maintain PG&E’s transmission system are unaware of or ignored the need to design it to withstand severe weather events, and that the Federal Energy Regulatory Commission (FERC) and North American Electric Reliability Corp. (NERC) allowed the utility to do so.

Ignorance and incompetence happens, to be sure, but there’s much about this story that doesn’t smell right—and it’s disappointing that most journalists and elected officials are apparently accepting it without question.

Take, for example, this statement from a Fox News story about the Kincade Fires: “A PG&E meteorologist said it’s ‘likely that many trees will fall, branches will break,’ which could damage utility infrastructure and start a fire.”

Did you ever notice how utilities cut wide swaths of trees away when transmission lines pass through forests? There’s a reason for that: When trees fall and branches break, the grid can still function, and even as the electric rhythms of New York City shifted during COVID-19, operators planned for variability.

So, if badly designed and poorly maintained infrastructure isn’t the reason PG&E cut power to millions of Californians, what might have prompted them to do so? Could it be that PG&E’s heavy reliance on renewable energy means they don’t have the power to send when a “historic” weather event occurs, especially as policymakers weigh the postponed closure of three power plants elsewhere in California?

Wind Speed Limits

The two most popular forms of renewable energy come with operating limitations, which is why some energy leaders urge us to keep electricity options open when planning the grid. With solar power, the constraint is obvious: the availability of sunlight. One doesn’t generate solar power at night and energy generation drops off with increasing degrees of cloud cover during the day.

The main operating constraint of wind power is, of course, wind speed, and even in markets undergoing 'transformative change' in wind generation, operators adhere to these technical limits. At the low end of the scale, you need about a 6 or 7 miles-per-hour wind to get a turbine moving. This is called the “cut-in speed.” To generate maximum power, about a 30 mph wind is typically required. But, if the wind speed is too high, the wind turbine will shut down. This is called the “cut-out speed,” and it’s about 55 miles per hour for most modern wind turbines.

It may seem odd that wind turbines have a cut-out speed, but there’s a very good reason for it. Each wind turbine rotor is connected to an electric generator housed in the turbine nacelle. The connection is made through a gearbox that is sized to turn the generator at the precise speed required to produce 60 Hertz AC power.

The blades of the wind turbine are airfoils, just like the wings of an airplane. Adjusting the pitch (angle) of the blades allows the rotor to maintain constant speed, which, in turn, allows the generator to maintain the constant speed it needs to safely deliver power to the grid. However, there’s a limit to blade pitch adjustment. When the wind is blowing so hard that pitch adjustment is no longer possible, the turbine shuts down. That’s the cut-out speed.

Now consider how California’s power generation profile has changed. According to Energy Information Administration data, the state generated 74.3 percent of its electricity from traditional sources—fossil fuels and nuclear, amid debates over whether to classify nuclear as renewable—in 2001. Hydroelectric, geothermal, and biomass-generated power accounted for most of the remaining 25.7 percent, with wind and solar providing only 1.98 percent of the total.

By 2018, the state’s renewable portfolio had jumped to 43.8 percent of total generation, with clean power increasing and wind and solar now accounting for 17.9 percent of total generation. That’s a lot of power to depend on from inherently unreliable sources. Thus, it wouldn’t be at all surprising to learn that PG&E didn’t stop delivering power out of fear of starting fires, but because it knew it wouldn’t have power to deliver once high winds shut down all those wind turbines

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California Duck Curve highlights midday solar oversupply and steep evening peak demand, stressing grid stability. Solutions include battery storage, demand response, diverse renewables like wind, geothermal, nuclear, and regional integration to reduce curtailment.

Key Points

A mismatch between midday solar surplus and evening demand spikes, straining the grid without storage and flexibility.

✅ Midday solar oversupply forces curtailment and wasted clean energy.

✅ Evening ramps require fast, fossil peaker plants to stabilize load.

✅ Batteries, demand response, regional trading flatten the curve.

California's remarkable success in adopting solar power, including a near-100% renewable milestone, has created a unique challenge: managing the infamous "duck curve." This distinctive curve illustrates a growing mismatch between solar electricity generation and the state's energy demands, creating potential problems for grid stability and ultimately threatening to slow California's progress in the fight against climate change.

The Shape of the Problem

The duck curve arises from a combination of high solar energy production during midday hours and surging energy demand in the late afternoon and evening when solar power declines. During peak solar hours, the grid often has an overabundance of electricity, and curtailments are increasing as a result, while as the sun sets, demand surges when people return home and businesses ramp up operations. California's energy grid operators must scramble to make up this difference, often relying on fast-acting but less environmentally friendly power sources.

The Consequences of the Duck Curve

The increasing severity of the duck curve has several potential consequences for California:

• Grid Strain: The rapid ramp-up of power sources to meet evening demand puts significant strain on the electrical grid. This can lead to higher operational costs and potentially increase the risk of blackouts during peak demand times.
• Curtailed Energy: To avoid overloading the grid, operators may sometimes have to curtail excess solar energy during midday, as rising curtailment reports indicate, essentially wasting clean electricity that could have been used to displace fossil fuel generation.
• Obstacle to More Solar: The duck curve can make it harder to add new solar capacity, as seen in Alberta's solar expansion challenges, for fear of further destabilizing the grid and increasing the need for fossil fuel-based peaking plants.

Addressing the Challenge

California is actively seeking solutions to mitigate the duck curve, aligning with national decarbonization pathways that emphasize practicality. Potential strategies include:

• Energy Storage: Deploying large-scale battery storage can help soak up excess solar electricity during the day and release it later when demand peaks, smoothing out the duck curve.
• Demand Flexibility: Encouraging consumers to shift their energy use to off-peak hours through incentives and smart grid technologies can help reduce late-afternoon surges in demand.
• Diverse Power Sources: While solar is crucial, a balanced mix of energy sources, including geothermal, wind, and nuclear, can improve grid stability and reduce reliance on rapid-response fossil fuel plants.
• Regional Cooperation: Integrating California's grid with neighboring states can aid in balancing energy supply and demand across a wider geographical area.

The Ongoing Solar Debate

The duck curve has become a central point of debate about the future of California's energy landscape. While acknowledging the challenge, solar advocates argue for continued expansion, backed by measures like a bill to require solar on new buildings, emphasizing the urgent need to transition away from fossil fuels. Grid operators and some utility companies call for a more cautious approach, emphasizing grid reliability and potential costs if the problem isn't effectively managed.

Balancing California's Needs and its Green Ambitions

Finding the right path forward is essential; it will determine whether California can continue to lead the way in solar energy adoption while ensuring a reliable and affordable electricity supply. Successfully navigating the duck curve will require innovation, collaboration, and a strong commitment to building a sustainable energy system, as wildfire smoke impacts on solar continue to challenge generation predictability.

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ABL has secured a contract for the UK Subsea Power Link, highlighting ABL Group’s marine warranty role in Eastern Green Link 2, a 2 GW offshore electricity superhighway connecting Scotland and England to enhance grid reliability and renewable energy transmission.

Key Points: ABL Group’s contract for the UK Subsea Power Link

ABL Group has been appointed to provide marine warranty survey services for the 2 GW Eastern Green Link 2 subsea interconnector between Scotland and England.

✅ Manages vessel suitability checks, installation oversight, and DP assurance

✅ Strengthens UK grid reliability and advances the clean energy transition

✅ Sizeable contract valued between USD 1 million and 3 million

Energy and marine consultancy ABL, a subsidiary of ABL Group, has been awarded a contract by Eastern Green Link 2 (EGL2) to provide marine warranty survey (MWS) services for the installation of a new 2 GW subsea power connection between Scotland and England.

EGL2 is one of the United Kingdom’s most significant energy-infrastructure projects, involving the creation of a 505-kilometre “electricity superhighway” that will enable simultaneous power transfer between Peterhead in Aberdeenshire and Drax in North Yorkshire, mirroring a renewable power link announced for the same corridor recently. The project is designed to strengthen grid resilience, integrate renewable energy from Scotland’s offshore resources, and advance the UK’s broader energy transition goals.

Under the terms of the contract, ABL will be responsible for the technical review and approval of the project and procedural documentation, as well as conducting suitability surveys of the proposed fleet for marine transportation and installation operations. The company will also provide dynamic positioning (DP) assurance where required and will review and approve all warranted operations through on-site attendances, reflecting practices used on projects like the Great Northern Transmission Line in North America.

Cable-laying operations for the link are scheduled to take place between January and September 2028, amid wider efforts to fast-track grid connections across the UK. According to ABL, the engagement represents a “sizeable” contract, valued between USD 1 million and 3 million.

“This appointment reflects ABL's reputation as a trusted MWS partner for major power transmission infrastructure development and reinforces our position at the forefront of supporting the UK's energy transition,” said Hege Norheim, CEO of ABL Group. “We look forward to contributing to this strategic initiative.”

The subsea interconnector, known as Eastern Green Link 2, will transmit up to 2 gigawatts of electricity—enough to power approximately 2 million homes. It forms part of the Great Grid Upgrade, National Grid’s nationwide program to modernize and expand the transmission network in preparation for a low-carbon future, alongside a recent 2 GW substation milestone.

By linking renewable-rich northern Scotland with high-demand regions in England, EGL2 is expected to reduce congestion on the existing grid by leveraging HVDC technology to improve transfer efficiency, enhance security of supply, and facilitate the more efficient flow of surplus renewable energy south. The connection will also support the UK government’s target of decarbonizing the electricity system by 2035.

ABL’s appointment follows a period of intensive marine and geotechnical surveys along the proposed cable route to assess seabed conditions and environmental sensitivities. The company’s marine warranty oversight will ensure that transportation and installation operations meet strict safety, technical, and environmental standards demanded by insurers and project partners, as seen in a recent cross-border transmission approval in North America.

For ABL Group, which provides engineering and risk services to the offshore energy and marine industries worldwide, the contract marks another milestone in its expanding portfolio of subsea power and transmission projects across Europe. With operations set to begin in 2028, the Eastern Green Link 2 initiative represents both a major engineering challenge and a key enabler of the UK’s offshore energy ambitions, echoing a recent offshore wind power milestone in the U.S.

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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 power grid highlights ERCOT reliability strains from extreme heat, climate change, and low wind, as natural gas and renewables balance tight capacity amid EV charging growth, heat pumps, and blackout risk across the U.S.

Key Points

Texas power grid is ERCOT-run and isolated, balancing natural gas and wind amid extreme weather and electrification.

✅ Isolated from other U.S. grids, limited import support

✅ Vulnerable to extreme heat, winter storms, low wind

✅ Demand growth from EVs and heat pumps stresses capacity

Texas has a unique state-run power grid facing a Texas grid crisis that has raised concerns, but its issues with extreme weather, and balancing natural gas and wind, hold lessons for an entire U.S. at risk for power outages from climate change.

Grid operator the Electric Reliability Council of Texas, or ERCOT, which has drawn criticism from Elon Musk recently, called on consumers to voluntarily reduce power use on Monday when dangerous heat gripped America’s second-most populous state.

The action paid off as the Texas grid avoided blackouts — and a repeat of its winter crisis — despite record or near-record temperatures that depleted electric supplies amid a broader supply-chain crisis affecting utilities this summer, and risked lost power to more than 26 million customers. ERCOT later on Monday lifted the call for conservation.

For sure, it’s a unique situation, as the state-run power grid system runs outside the main U.S. grids. Still, all Americans can learn from Texas about the fragility of a national power grid that is expected to be challenged more frequently by hot and cold weather extremes brought on by climate change, including potential reliability improvements policymakers are weighing.

The grid will also be tested by increased demand to power electric vehicles (EVs) and conversions to electric heat pumps — all as part of a transition to a “greener” future.

Why is Texas different?
ERCOT, the main, but not only, Texas grid, is unique in its state-run, and not regional, format used by the rest of the country. Because it’s an energy-rich state, Texas has been able to set power prices below those seen in other parts of the country, and its independence gives it more pricing authority, while lawmakers consider market reforms to avoid blackouts. But during unusual strain on the system, such as more people blasting their air conditioners longer to combat a record heat wave, it also has no where else to turn.

A lethal winter power shortage in February 2021, during a Texas winter storm that left many without power and water, notoriously put the state and its independent utility in the spotlight when ERCOT failed to keep residents warm and pipes from bursting. Texas’s 2021 outage left more than 200 people dead and rang up $20 billion in damage. Fossil-fuel CL00, 0.80% backers pointed to the rising use of intermittent wind power, which generates 23% of Texas’s electricity. Others said natural-gas equipment was frozen under the extreme conditions.

This week, ERCOT is asking for voluntary conservation between 2 p.m. and 8 p.m. local time daily due to record high electricity demand from the projected heat wave, and also because of low wind. ERCOT said current projections show wind generation coming in at less than 10% of capacity. ERCOT stressed that no systemwide outages are expected, and Gov. Greg Abbott has touted grid readiness heading into fall, but it was acting preemptively.

A report late last year from the North American Electric Reliability Corp. (NERC) said the Texas system without upgrades could see a power shortfall of 37% in extreme winter conditions. NERC’s outlook suggested the state and ERCOT isn’t prepared for a repeat of weather extremes.

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Heathrow Airport Power Outage 2025 disrupted operations with mass flight cancellations and diversions after a grid failure, exposing infrastructure resilience gaps, crisis management flaws, and raising passenger compensation and safety oversight concerns.

Key Points

A grid failure closed Heathrow, causing mass cancellations and diversions, exposing resilience and communication lapses.

✅ Grid fire triggered airport-wide shutdown

✅ 1,400+ flights canceled or diverted

✅ Inquiry probes resilience, communication, compensation

On March 21, 2025, Heathrow Airport, Europe's busiest, suffered a catastrophic power outage, similar to another high-profile outage seen at major events, that led to the cancellation and diversion of over 1,400 flights, affecting nearly 300,000 passengers and costing airlines an estimated £100 million. The power failure, triggered by a fire at an electricity substation in west London, left Heathrow with a significant operational crisis. This disruption is even more significant considering that Heathrow is one of the most expensive airports globally, which raises concerns about its infrastructure resilience and broader electricity system resilience across Europe.

In a parliamentary committee meeting, Heathrow officials admitted that vulnerabilities in the airport’s power supply were flagged just days before the outage. Nigel Wicking, Chief Executive of the Heathrow Airline Operators' Committee (HAOC), informed MPs that concerns regarding power resilience had been raised on March 15, following disruptions caused by cable thefts impacting runway lights. Despite these warnings, the airport’s management did not address the vulnerabilities urgently, even as UK net zero policies continue to reshape infrastructure planning, which ultimately led to the disastrous outage.

The airport was closed for a day, with serious consequences for not only airlines but also the surrounding community and businesses. British Airways alone faced millions of pounds in losses, and passengers experienced significant emotional distress, missing vital life events like weddings and funerals due to flight cancellations. The committee is now questioning officials from National Grid and Scottish and Southern Electricity Networks to better understand why Heathrow’s infrastructure failed, in the context of a cleaner grid following the British carbon tax that reduced coal use, how it communicated with affected parties, and what measures will be taken to compensate impacted passengers.

Heathrow’s Chief Executive, Thomas Woldbye, defended the closure decision, stating it would have been disastrous to keep the airport open under such circumstances. He noted that continuing operations would have left tens of thousands of passengers stranded and would have posed safety risks due to the failure of fire surveillance and CCTV systems. However, Wicking, representing the airlines, pointed out that Heathrow’s lack of resilience was unacceptable given the amount spent on the airport, emphasizing the need for better infrastructure, including addressing SF6 in switchgear during upgrades, and more transparent management practices.

Looking forward, the MPs intend to investigate the airport’s emergency preparedness, why the resilience review from 2018 wasn’t shared with airlines, and whether enough preventative measures were in place amid surging data demand that could strain electricity supplies. The outcome of this inquiry could have lasting effects on how Heathrow and other major airports handle their infrastructure and crisis management systems, as drought-driven hydro challenges demonstrate the wider climate stresses on power networks.

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