Cottagers look to go it alone for power

India Power Sector Payment Crisis strains utilities with electricity theft, discom arrears, coal dues, and subsidy burdens, triggering outages, load-shedding, and tariff stress as record heatwave demand tests grid reliability, billing compliance, and infrastructure upgrades.

Key Points

Linked payment shortfalls, theft, and subsidies driving arrears, outages, and planning gaps across Indias power grid.

✅ Discom arrears surpass Rs 1 lakh crore, straining cash flow

✅ Coal India unpaid, fuel risk rises and tariffs face pressure

✅ Outages and load-shedding worsen amid heatwave demand spike

India is among the world leaders in losing money to electricity theft. The country’s power sector also has a peculiar pattern of entities selling without getting the money on time, or nothing at all, while Manitoba Hydro debt highlights similar strains elsewhere. Coal India is owed about Rs 12,300 crore by power generation companies, which themselves have not been paid over Rs 1 lakh crore by distribution companies. The figures of losses suffered by discoms are much higher, even as UK network profits have drawn criticism, underscoring divergent market outcomes. The circuit does get completed somehow, but the uneven transaction, which defies business sense, introduces a disruptive strand that limits the scope for any future planning. Regular and unannounced shutdowns become the norm as the power supply falls short of demand, which this time is expected to touch record highs of 215-220 gigawatts amid the scorching heatwave, and cases like deferred BC Hydro costs illustrate how financial pressures accumulate.

In debt-ridden Punjab, the power subsidy bill is over Rs 10,000 crore, a large portion of which serves farmers. The AAP government plans to provide free electricity up to 300 units for every household from July 1, even as power bill cuts in Thailand show alternative approaches to affordability. The generous giveaways cannot camouflage the state of affairs. Thirty-three government departments had outstanding electricity bills of Rs 62 crore as on March 31, the end of the last financial year. With arrears of Rs 22.48 crore, the biggest defaulter was the Water and Sanitation Department. According to the Punjab State Power Corporation Limited, around 40 police stations and posts have been found to be stealing power or failing to clear the bills, while utility impersonation scams target consumers elsewhere. Customary warnings have been issued of snapping supply if the dues are not paid, even as utility penalties for disconnection delays underscore enforcement challenges, but ‘public interest’ and ‘essential services’ will ensure that such an eventuality does not arise.

The substantial fine imposed on a dera stealing power in Tarn Taran, along with the registration of an FIR, is exemplary action that needs to be carried forward. Change is tough, but a new way of working begins with those in positions of power leading by example, be it fixing the payment mechanism, upgrading infrastructure with smart grid initiatives in mind, minimising the use of electricity or a gradual switch to alternative energy sources.

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Energy Storage for Microgrids enables renewables integration via ESS, boosting resilience and reliability while supporting solar PV and wind, innovative financing, and business models, with strong growth forecast across Asia-Pacific and North America.

Key Points

Systems that store energy in microgrids to integrate renewables, boost resilience, and optimize distributed power.

✅ Integrates solar PV and wind with stable, dispatchable output

✅ Reduces costs via new financing and service business models

✅ Expands reliable power for remote, grid-constrained regions

A new report from Navigant Research examines the global market for energy storage for microgrids (ESMG), providing an analysis of trends and market dynamics in the context of the evolving digital grid landscape, with forecasts for capacity and revenue that extend through 2026.

Interest in energy storage-enabled microgrids is growing alongside an increase in solar PV and wind deployments. Although not required for microgrids to operate, energy storage systems (ESSs) have emerged as an increasingly valuable component of distributed energy networks, including virtual power plants that coordinate distributed assets, because of their ability to effectively integrate renewable generation.

“There are several key drivers resulting in the growth of energy storage-enabled microgrids globally, including the desire to improve the resilience of power supply both for individual customers and the entire grid, the need to expand reliable electricity service to new areas, rising electricity prices, and innovations in business models and financing,” says Alex Eller, research analyst with Navigant Research. “Innovations in business models and financing will likely play a key role in the expansion of the ESMG market during the coming years.”

One example of microgrid deployment for resilience is the SDG&E microgrid in Ramona built to help communities prepare for peak wildfire season.

According to the report, the most successful companies in this industry will be those that can unlock the potential of new business models to reduce the risk and upfront costs to customers. This is particularly true in Asia Pacific and North America, which are projected to be the largest regional markets for new ESMG capacity by far, a trend underscored by California's push for grid-scale batteries to stabilize the grid.

The report, “Market Data: Energy Storage for Microgrids,” outlines the key market drivers and barriers within the global ESMG market. The study provides an analysis of specific trends, including evolving grid edge trends, and market dynamics for each major world region to illustrate how different markets are taking shape. Global ESMG forecasts for capacity and revenue, segmented by region, technology, and market segment, extend through 2026. The report also briefly examines the major technology issues related to ESSs for microgrids.

Google made energy storage news recently when its parent company Alphabet announced it is hoping to revolutionize renewable energy storage using vats of salt and antifreeze. Alphabet’s secretive research lab, simply named “X,” is developing a system for storing renewable energy that would otherwise be wasted. The project, named “Malta,” is hoping its energy storage systems “has the potential to last longer than lithium-ion batteries and compete on price with new hydroelectric plants and other existing clean energy storage methods, according to X executives and researchers,” reports Bloomberg.

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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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Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

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Ukraine Power Grid Resilience details preparations for winter blackouts, airstrike defense, decentralized generation, backup generators, battery storage, DTEK restorations, EU grid synchronization, and upgraded air defenses to safeguard electricity, heating, water, and essential services.

Key Points

Ukraine Power Grid Resilience is a strategy to harden energy systems against winter attacks and outages.

✅ DTEK repairs, backup equipment, and fortified plants across Ukraine

✅ Expanded air defenses targeting missiles and attack drones

✅ EU grid sync enables emergency imports and power trading

Oleksandr Gindyuk is determined not to be caught off guard if electricity supplies fail again this winter. When Russia pounded Ukraine’s power grid with widespread and repeated waves of airstrikes last year, causing massive rolling blackouts, his wife had just given birth to their second daughter.

“It was quite difficult,”  Gindyuk, who lives with his family in the suburbs of the capital, Kyiv, told CNN. “There is no life in our house if there is no electricity. Without electricity, we have no water, light or heating.”

He has spent the summer preparing for Russia to repeat its strategy, which was designed to sow terror and make life unsustainable, robbing Ukrainians of heat, water and health services. “We are totally ready — we have a diesel generator and a powerful 9 kWh battery. We are not scared, we are ready,” Gindyuk told CNN.

As families like Gindyuk’s gird themselves for the possibility of another dark winter, Ukraine has been rushing to rebuild and, drawing on protecting the grid lessons, protect its fragile energy infrastructure.

The summer provided a respite for Ukraine’s power grid. Russia focused its attacks on military targets and on ports on the Black Sea and the Danube River, to hinder Ukraine’s efforts to move grain and choke off an important income stream.

As the days grow shorter and the temperatures drop, Russia has another opportunity to try to break Ukrainian resilience with punishing blackouts. But this winter, defense and energy officials say Ukraine is better prepared.

With limited Ukrainian air defenses in operation last year, Russia was able to target and hit the energy grid easily, including during missile and drone assaults on Kyiv’s grid that strained responders.

“The Russians may use a combination of missile weapons and attack UAVs (unmanned aerial vehicles, or drones). These will definitely not be such primitive attacks as last year. It will be difficult for the Russians to achieve a result - we are also preparing and understanding how they act.”

DTEK, the country’s largest private energy company, has spent the past seven months restoring infrastructure, trying to boost output and bolstering defenses at its facilities across Ukraine, mindful of Russian utility hacks reported elsewhere.

“We restored what could be restored, bought back-up equipment and installed defenses around power plants, as Russian-linked breaches at US plants have underscored risks,” DTEK chief executive Maxim Timchenko told CNN.

The company generates around a quarter of Ukraine’s electricity and runs 40% of its grid network, making it a prime target for Russian attacks. Four DTEK employees have been killed while on duty and its power stations have been attacked nearly 300 times since the start of the full-scale invasion, according to the company. “Last winter, determination carried us through. This winter we are stronger, and our people are more experienced,” Timchenko said.

Russia launched 1,200 attacks on Ukraine’s energy system between October 2022 and April 2023, with every thermal power and hydro-electric plant in the country sustaining some damage, according to DTEK.

In a damage assessment report released in June, the United Nations Development Programme said that Ukraine’s power generation capacity had been reduced to about half of what it was before Russia’s full-scale invasion. “Ukraine’s power system continues to operate in an emergency mode, which affects both power grids and generation, amid rising concerns about state-backed grid hacking worldwide,” a news release accompanying the report said.

The report also laid out a roadmap to rebuilding the energy sector, prioritizing decentralization, renewable energy sources and greater integration with the European Union. Ukraine has been hooked into the EU’s power grid since the full-scale invasion, allowing it to synchronize and trade power with the bloc. But the massive wave of attacks on energy infrastructure last winter threw that balance off kilter.

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Hydro One COVID-19 Quarantine Support connects Ontario's Ministry of Health with trained customer service teams to contact travellers, encourage self-isolation, explain quarantine rules, and share public health guidance to slow community transmission.

Key Points

Hydro One helps Ontario's MOH contact travellers and guide self-isolation for quarantine compliance.

✅ Trained agents contact returning travellers in Ontario

✅ Guidance on self-isolation, symptoms, and quarantine compliance

✅ Supports public health while freeing front-line resources

Hydro One Networks Inc. ("Hydro One") announced support to the Ministry of Health (MOH) with its efforts in contacting travellers entering Ontario to ensure they comply with Canada's mandatory quarantine measures to combat COVID-19. Hydro One has volunteered employees from its customer service operations to contact thousands of returning travellers to provide them with timely guidance on how to self-isolate and spot the symptoms of the virus to help stop its spread.

"Our team is ready to lend a helping hand and support the province to help fight this invisible enemy," said Mark Poweska, President and CEO, Hydro One. "Our very dedicated customer service staff are highly professional and will be a valuable resource in supporting the province as it works to keep Ontarians safe and slow the spread of COVID-19."

"We have seen a tremendous response from all our companies across Ontario to help us fight the COVID-19 outbreak. With this one, Hydro One is helping the province to remind Ontarians they need to stay safe at home, especially self-isolating customers throughout Ontario," said Christine Elliott, Deputy Premier and Minister of Health. "We thank them for stepping up to be part of the fantastic province-wide effort acting together and allowing our front line workers to focus their efforts where they are needed most during this challenging time."

"We are pleased to see Hydro One volunteer its resources and expertise to support in the fight against COVID-19," said Greg Rickford, Minister of Energy, Northern Development and Mines. "In these unprecedented times, I am proud to see leaders in the energy sector rise to the challenge, from restoring power after major storms to supporting the people of our province."

Hydro One and its employees play a critical role in maintaining Ontario's electricity system. Since the COVID-19 outbreak began, Hydro One has been monitoring the evolving situation and adapting its operations, including on-site lockdowns for key staff as needed to ensure it continues to deliver the service Ontarians depend on while keeping our employees, customers and the public safe.

Hydro One has also developed a number of customer support measures during COVID-19, including a new Pandemic Relief Fund to offer payment flexibility and financial assistance to customers experiencing financial hardship, suspending late payment fees and returning approximately $5 million in security deposits to businesses across Ontario.

"Customers are counting on us now more than ever – not only to keep the lights on across the province, but to offer support during this difficult time," said Poweska. "Hydro One will continue to collaborate with industry partners and the province, including mutual aid assistance with other utilities, to find new ways to offer support where it is needed."

More information about how Hydro One is supporting its customers, including its ban on disconnections and other measures, can be found at www.HydroOne.com/PandemicRelief .

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