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Realizing that power and energy systems are infrastructure + institutions, the Reliability, Operation and Planning of Power and Energy Systems (ROPES) Lab has two central missions: Advancing the technical and economic tools to ensure sustainable, reliable, and accessible electricity supply. Illuminating the status-quo and trajectory of our power and energy systems in the context of climate change and in an effort to educate current and future decision-makers.
News:
- [Apr. 2024] Gejia Zhang was selected into the Rutgers Climate and Energy Institute Student Support Program. Congrats!
- [Mar. 2024] Our paper Data Valuation to Data-Driven Optimization was accepted for publication in the Transactions on Control of Network Systems.
- [Mar. 2024] Our paper Prescribed Robustness in Optimal Power Flow was accepted to the 2024 Power System Computation Conference.
- [Mar. 2024] Robert gave a talk at the IEEE CSS Seminar Series at NJIT on “Managing Risk Exposure in Renewable-Dominant Power System Operations and Electricity Markets” (thanks Joshua Taylor for the invitation).
- [Mar. 2024] Robert chaired a session “Advanced Optimization for Future Power and Energy Systems” (thanks Bartolomeo Stellato for the invitation) at the 2024 IOS Conference.
- [Mar. 2024] Robert gave talk “Adaptive Robust Sets for Optimal Power Flow” at the 2024 IOS Conference.
- [Feb. 2024] ROPES Lab is now affiliated with the Center for Urban Policy Research. We will contribute to research efforts on power system resiliency and reliability and AI-driven grid-edge management and control.
- [Nov. 2023] New preprint: “Risk-Aware Security-Constrained Unit Commitment“.
- [Oct. 2023] Robert gave a talk “Data Value and Interpretability in Data-Driven Power Systems Operations” at the Rutgers ISE Fall Seminar Series (thanks Aziz Ezzat for the invitation) and at the Data and Dynamics Seminar at the University of Arizona (thanks Robert Ferrando for the invitation).
- [Oct. 2023] Robert became a member of the Rutgers Offshore Wind Energy Collaborative.
- [Oct. 2023] New preprint with collaborators from Princeton University: Prescribed Robustness in Optimal Power Flow.
- [Oct. 2023] Robert became an inaugural member of the Rutgers Climate and Energy Institute.
- [Sept. 2023] Our paper “Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study“, led by Robert Ferrando, has been accepted for publication in the IEEE Transactions on Energy Markets, Policy and Regulation and is now available in early-access.
- [Sept. 2023] Welcome to ROPES Lab