Santa Clara, Ca. — SolutionSoft Systems Inc., a leader in virtual clock and time-travel testing technology, today announced that its Time Machine software is enablingSanta Clara, Ca. — SolutionSoft Systems Inc., a leader in virtual clock and time-travel testing technology, today announced that its Time Machine software is enabling

Time Machine Enables Realistic Power Grid Operator Training for Major Regional Grid Operator

2026/03/19 00:51
Okuma süresi: 5 dk
Bu içerikle ilgili geri bildirim veya endişeleriniz için lütfen crypto.news@mexc.com üzerinden bizimle iletişime geçin.

Santa Clara, Ca. — SolutionSoft Systems Inc., a leader in virtual clock and time-travel testing technology, today announced that its Time Machine software is enabling a groundbreaking operator training environment for the Midcontinent Independent System Operator (MISO). Implemented by energy consulting firm Utilicast, the solution allows the client to replay historical operational data from AVEVA’s PI System to create highly realistic grid simulation and training scenarios.

Utilicast’s client manages the high-voltage electricity grid across 15 U.S. states and Manitoba, Canada, delivering reliable and cost-effective electricity to 45 million people. As the “air traffic controller” of the electric grid, the organization operates one of the world’s largest energy markets and monitors the power system 24/7/365 to ensure stability and reliability.

softwaresoftware. Freepik

To prepare operators for real-world conditions, Utilicast’s client relies on a sophisticated simulation platform that functions much like a flight simulator for the electric grid. The platform provides two essential training modes:

  • Playback: Replaying real historical events to review past performance
  • Simulate: Creating hypothetical scenarios, such as severe weather events or equipment failures, to train operators to respond effectively to emergencies

The Challenge: Replaying Time in the PI System

The realism of the training environment depends on a massive historical database that drives the operator displays through AVEVA’s PI System, a large time-series archive designed primarily for real-time production environments.

However, the PI System does not inherently support “rewinding” or replaying specific historical time periods. To simulate a past event—such as a major storm on August 14, 2023 the system servers would need to behave as if the current time were that historical date.

Changing the actual server clocks was not an option due to strict IT security policies. Altering system clocks could disrupt security logs and other critical background processes. In addition, the training environment consisted of multiple independent servers—including PI Data Archive, PI Asset Framework, and PI Displays all of which had to remain synchronized down to the millisecond.

The project required a way to make the simulation software believe it was operating in the past without modifying the physical system clocks.

The Time Machine Solution

Utilicast implemented Solution-Soft’s Time Machine virtual clock technology to solve the challenge.

With Time Machine, the underlying Windows servers remained on the correct real-world time to maintain security and operational stability. Meanwhile, the PI applications accessed virtual clocks, allowing them to operate within a simulated historical timeline required for training exercises.

The deployment included several key capabilities:

Virtual Clocks

Time Machine enabled the PI System applications to run using simulated time while the physical servers remained synchronized to the real system clock.

Pause and Resume for Interactive Training

To support instructor-led sessions, the client requested the ability to pause simulations instantly during training. Solution-Soft introduced a Pause/Resume API and console enhancement, allowing instructors to freeze an entire simulation with one click and resume without any timeline drift.

Seamless Integration

Time Machine integrated directly into the existing simulator environment without requiring complex code changes or modifications to the existing software infrastructure.

Automated Training Scenarios

Using Time Machine automation features, trainers can now launch complex simulation scenarios with a single click, automatically synchronizing all virtual clocks across the training environment.

Quote

“Solution-Soft’s Time Machine capabilities enabled a first-of-its-kind fully synchronized operator training and simulation environment that truly recreates what an operator will encounter in a real-life setting.”
— Josh Binstead, Technical Architect, Utilicast

The Result

By deploying Time Machine, Utilicast and their client created a fully synchronized, highly realistic operator training platform capable of replaying historical events and simulating future grid scenarios.

This environment allows power grid operators to safely practice responding to complex situations—ensuring they are better prepared to maintain grid stability and reliability under real-world conditions.

About Utilicast

Utilicast is a premier consulting firm dedicated to the energy and utilities industry. The company helps utilities and power grid operators navigate complex challenges including digital transformation, system operations, and regulatory compliance. With a team of experienced industry experts, Utilicast delivers tailored solutions for energy organizations across North America.

About Solution-Soft

Solution-Soft has been at the forefront of virtual clock software and time travel testing solutions since 1997 to empower companies in the ever-evolving digital world. Our flagship product, Time Machine, has revolutionized application testing, enabling companies, including many of Fortune 100, to reduce costs and accelerate project delivery by an average of 3 – 10 times across enterprise and containerized systems to run critical software and application testing.

The Time Machine Product Suite extends these capabilities, optimizing cloud migration, test automation, Agile/DevOps, and containerization testing. Time Machine for Containers supports standalone Docker containers, and large-scale Kubernetes and OpenShift clusters (including the world’s largest 16,000+ CPU core cluster, 1,300+ namespace deployments with CI/CD test automation.)

Trusted by over thousands of installed base worldwide across diverse industries, including AIG, Australian Tax Office, Atruvia, AMEX, BBC, Boeing, CVS, Discover, Lloyds Bank, National Grid, SNCF, State of CA, ID, HI, MO, OH, NC, and more. We partner with industry leaders like Accenture, Deloitte, DXC, IBM, Microsoft, and Oracle providing cutting-edge solutions for all time travel testing and simulator training needs.

Solution-Soft was founded in 1993 and is headquartered in Santa Clara, CA.

Piyasa Fırsatı
Major Logosu
Major Fiyatı(MAJOR)
$0.06281
$0.06281$0.06281
+0.22%
USD
Major (MAJOR) Canlı Fiyat Grafiği
Sorumluluk Reddi: Bu sitede yeniden yayınlanan makaleler, halka açık platformlardan alınmıştır ve yalnızca bilgilendirme amaçlıdır. MEXC'nin görüşlerini yansıtmayabilir. Tüm hakları telif sahiplerine aittir. Herhangi bir içeriğin üçüncü taraf haklarını ihlal ettiğini düşünüyorsanız, kaldırılması için lütfen crypto.news@mexc.com ile iletişime geçin. MEXC, içeriğin doğruluğu, eksiksizliği veya güncelliği konusunda hiçbir garanti vermez ve sağlanan bilgilere dayalı olarak alınan herhangi bir eylemden sorumlu değildir. İçerik, finansal, yasal veya diğer profesyonel tavsiye niteliğinde değildir ve MEXC tarafından bir tavsiye veya onay olarak değerlendirilmemelidir.

Ayrıca Şunları da Beğenebilirsiniz

World Gold Council’s Pivotal Framework Promises Unprecedented Market Trust

World Gold Council’s Pivotal Framework Promises Unprecedented Market Trust

The post World Gold Council’s Pivotal Framework Promises Unprecedented Market Trust appeared on BitcoinEthereumNews.com. Tokenized Gold Revolution: World Gold Council
Paylaş
BitcoinEthereumNews2026/03/20 03:58
Aave DAO to Shut Down 50% of L2s While Doubling Down on GHO

Aave DAO to Shut Down 50% of L2s While Doubling Down on GHO

The post Aave DAO to Shut Down 50% of L2s While Doubling Down on GHO appeared on BitcoinEthereumNews.com. Aave DAO is gearing up for a significant overhaul by shutting down over 50% of underperforming L2 instances. It is also restructuring its governance framework and deploying over $100 million to boost GHO. This could be a pivotal moment that propels Aave back to the forefront of on-chain lending or sparks unprecedented controversy within the DeFi community. Sponsored Sponsored ACI Proposes Shutting Down 50% of L2s The “State of the Union” report by the Aave Chan Initiative (ACI) paints a candid picture. After a turbulent period in the DeFi market and internal challenges, Aave (AAVE) now leads in key metrics: TVL, revenue, market share, and borrowing volume. Aave’s annual revenue of $130 million surpasses the combined cash reserves of its competitors. Tokenomics improvements and the AAVE token buyback program have also contributed to the ecosystem’s growth. Aave global metrics. Source: Aave However, the ACI’s report also highlights several pain points. First, regarding the Layer-2 (L2) strategy. While Aave’s L2 strategy was once a key driver of success, it is no longer fit for purpose. Over half of Aave’s instances on L2s and alt-L1s are not economically viable. Based on year-to-date data, over 86.6% of Aave’s revenue comes from the mainnet, indicating that everything else is a side quest. On this basis, ACI proposes closing underperforming networks. The DAO should invest in key networks with significant differentiators. Second, ACI is pushing for a complete overhaul of the “friendly fork” framework, as most have been unimpressive regarding TVL and revenue. In some cases, attackers have exploited them to Aave’s detriment, as seen with Spark. Sponsored Sponsored “The friendly fork model had a good intention but bad execution where the DAO was too friendly towards these forks, allowing the DAO only little upside,” the report states. Third, the instance model, once a smart…
Paylaş
BitcoinEthereumNews2025/09/18 02:28
Shiba Inu Price Prediction 2026: SHIB Fights to Reclaim Its Glory While Pepeto Offers the 150x Early Window That SHIB Already Closed

Shiba Inu Price Prediction 2026: SHIB Fights to Reclaim Its Glory While Pepeto Offers the 150x Early Window That SHIB Already Closed

A truck driver put $650 into Shiba Inu in 2020 and quit his job after his bag grew to $1.7 million. Two brothers invested $7,900 during the COVID lockdowns and
Paylaş
Blockonomi2026/03/20 04:32