Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Eversource Energy Collaborates with MathWorks to Incorporate Renewable Energy Sources into System Planning Process Using Probabilistic Load Flow Automation

Fortune 500 Company Uses MATLAB and MathWorks Consulting Services to Overcome Grid Uncertainties from Distributed Energy Resources, Including Electric Vehicles, Solar Panels, and Electrical Heat Pumps

BOSTON–(BUSINESS WIRE)–MathWorks, the leading developer of mathematical computing software, is providing probabilistic load flow (PLF) capabilities to enhance system planning solutions for Eversource Energy, New England’s largest energy utility. The rapid green energy transition, marked by the rise of electric vehicles, heat pumps, and solar panels, has added uncertainty to electric distribution planning. Eversource built a probabilistic power flow system that allows the Fortune 500 company to process and prioritize millions of grid scenarios by likelihood and risk.

Integrating renewable generation capacity into the grid is a key challenge for the US energy transition. As an example, the Energy Information Administration (EIA) projects the addition of 26 gigawatts (GW) of solar capacity in 2025 and 22 GW in 2026. Eversource found traditional model scenarios inadequate for future system planning. Instead, the power company integrated PLF automation into its power system analysis. Using PLF automation allows Eversource to simulate numerous scenarios to improve its distribution modeling capabilities and support investments in enhancing necessary data analytics solutions.

“The growing needs in modern system planning present both a challenge and an opportunity,” said Tony Lennon, Simscape Products Market Manager at MathWorks. “Using MATLAB® and MathWorks consulting services, Eversource optimized their infrastructure investments and proactively addressed potential issues, ensuring a stable and efficient energy supply for their customers.”

MATLAB was the primary environment used to develop and implement the PLF system at Eversource. The programming and numeric computing platform provided the necessary tools for numerical parallel processing, enabling efficient process distribution across multi-core CPUs and GPU banks. This capability helped Eversource to handle large-scale simulations and data analysis effectively. The integration was achieved using the MATLAB ActiveX server, allowing direct communication between MATLAB and DNV Synergi Electric Solver, without the need for additional programming languages

MATLAB was also used to implement Monte Carlo simulations, which are essential for probabilistic modeling. These simulations helped Eversource to evaluate numerous scenarios by randomly selecting values from probability distributions of input parameters. Additionally, the data visualization tools in MATLAB were crucial for interpreting PLF simulation results, enabling the power company to create visual representations of the grid’s performance under different conditions and identify potential issues and areas for improvement.

“With the unprecedented energy transition currently taking place in New England, distribution system planning is more complex than ever before and critical to ensuring safe, reliable service for our customers,” said John Kreso, Senior Engineer, Advanced Forecasting and Modeling at Eversource. “Through our new PLF solution, we are reducing simulation time by 95%, assessing grid reliability, and making data-driven decisions – playing an important role in our ability to optimize investments in infrastructure upgrades and ensure we can proactively address potential issues.”

About MathWorks

MathWorks is the leading developer of mathematical computing software. MATLAB, the language of engineers and scientists, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a block diagram environment for simulation and Model-Based Design of multidomain and embedded engineering systems. Engineers and scientists worldwide rely on these products to accelerate the pace of discovery, innovation, and development in automotive, aerospace, communications, electronics, industrial automation, and other industries. MATLAB and Simulink are fundamental teaching and research tools in the world’s top universities and learning institutions. Founded in 1984, MathWorks employs more than 6,500 people in 34 offices around the world, with headquarters in Natick, Massachusetts, USA. For additional information, visit mathworks.com.

MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

Contacts

Media Contact:

MathWorks
Tim Morin

mediarelations@mathworks.com

Post a Comment

#FOLLOW US ON INSTAGRAM