Fortune 150 Electrical Utility Cuts Grid Analysis from Days to 3 Hours with AWS
At a glance
A Fortune 150 utility serving millions across multiple states relied on legacy on-premise applications for power flow analysis that took days to process, delaying critical grid optimization and capital investment decisions as Distributed Energy Resources proliferated. NMD migrated workloads to AWS, building scalable compute platforms that execute tens of millions of powerflow simulations from days to 3 hours, for a few $100 per run. POC development dropped from months to weeks, enabling rapid testing for grid resilience decisions.This major utility firm partnered with New Math Data to harness the power of AWS services to develop internal applications that slashed the time it took to perform complex distribution grid analytics while meeting regulatory requirements and dramatically reducing costs.
Industry
Use Case
- Energy Management & Optimization
- Power Flow Analysis and Grid Optimization
- Analytics & Business Intelligence
Solution implemented
- Leveraged AWS Services for powerflow analysis, removing the burden of infrastructure management and freeing developers to concentrate on creating business value
- Developed a reference architecture to promote code and infrastructure reusability and architectural consistency, streamlining development and accelerating time to value
- Defined technical, regulatory, and business requirements to develop a reusable data platform and processing architectures that facilitate secure data sharing across teams
- Built scalable compute platforms that could process the company’s terabytes of data more cost-effectively
The value equation
- The new AWS-based platform reduced processing times from days to just 3 hours for tens of millions of powerflows, at a cost of only a few $100 per analysis run.
- POC development now takes weeks instead of months, enabling rapid testing of grid configurations and supporting data-driven decision making for capital investments and grid resilience strategies.
Company Snapshot
The client is a Fortune 150 electrical utility and leading provider of energy solutions, operating a multi-state grid to deliver reliable and efficient energy services to millions of residential and commercial customers.
Location
US
This Major Electrical Utility Reduced Analytics Processing Time from Days to Hours
A Fortune 150 electrical utility serving millions of customers across multiple US states was struggling with legacy on-premise applications for power flow analysis that took days to process critical grid data.
With the rapid proliferation of Distributed Energy Resources like rooftop solar and Behind-The-Meter devices like EV chargers, the utility needed to run increasingly complex simulations to balance their diverse energy portfolio—nuclear, coal, natural gas, solar, and wind—but their disparate systems couldn’t scale to meet the frequency demands.
Slow analytics caused slow decision-making on capital investments, delayed grid optimization, potential regulatory compliance risks, and inability to rapidly test operational strategies—challenges facing utilities nationwide as they modernize infrastructure and integrate renewable energy sources.
Solution
New Math Data migrated the utility’s power flow analysis workloads to AWS, eliminating infrastructure management burdens and enabling developers to focus on building analytical tools rather than maintaining servers.
Eliminating Infrastructure Management Burdens
New Math Data leveraged AWS Services to create new power flow analytics products that dramatically reduced the burden of infrastructure management and allowed developers to focus on innovation and creating value for the utility and its customers.
Streamlining Development
AWS Services were also integrated into a reference architecture, promoting code and infrastructure reusability and architectural consistency to streamline development across multiple products, saving significant developer time and accelerating product delivery.
Improving Cross-Team Data-Sharing
Senior New Math Data team members served as technical leaders, defining technical, regulatory, and business requirements to develop reusable data platform and processing architectures that facilitated secure data sharing across a broad range of teams.
Supporting Scalability
NMD also developed scalable compute platforms that could process the company’s terabytes of data in a cost-effective manner.
Within 10 weeks, the new AWS-based platform reduced processing times from days to just 3 hours for tens of millions of powerflows, at a cost of only a few $100 per analysis run. POC development now takes weeks instead of months, enabling rapid testing of grid configurations and supporting data-driven decision making for capital investments and grid resilience strategies.
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