ISO New England oversees the 24/7 operation of the power grid that covers the six-states of New England and administers the region’s $10+ billion “stock exchange” for the buying and selling of wholesale electricity. The power system is constantly evolving as new technologies emerge and energy policies evolve. There is a lot going on at our organization behind the scenes to make sure the grid continuously yields reliable electricity at competitive prices while addressing the unique challenges that come along with our industry.
Internship Title – Analyzing the Adequacy Function in Power System Planning
Department – Advanced Technology Solutions
Minimum Education level: PhD
Preferred Majors: Mathematics, Electrical/Power System/Computer Engineering, Operations Research
The Advanced Technology Solutions (ATS) department engages in both long-term research projects and near-term design/process improvements. The department consists of experts in three topic areas: power systems, simulations, and markets. In all projects, the goal of ATS is to provide innovative and practical solutions to current and emerging questions for ISO New England.
What will you be working on:
Adequacy measure, such as Loss of Load Expectation (LOLE), is a function of resource mix. The internship involves a numerical evaluation of the adequacy function and a through analysis of the function’s characteristics. The result will help decisions on certain capacity market design aspects.
How will you make an impact:
Through this assignment, you will gain knowledge of the ISO’s adequacy process, hands-on experience of adequacy evaluation software, and exposure to capacity market design fundamentals.
The result will help decisions on certain capacity market design aspects such as capacity qualification and capacity demand curves.
What we look for in a candidate:
- Strong mathematical background
- Basic understanding of power system adequacy
- Ability to perform quick data manipulations
- Experience in numerical evaluation and characterization of multi-variate functions Visualization of multi-dimensional functions