Stochastic Planning and Operations

Development of techniques necessary for planning and operating a future grid system that will be required to accommodate many forms of uncertainty—especially that associated with variable renewable energy supply and new technologies such as electric vehicles and storage.

Projects

Evaluating the Effects of Managing Controllable Demand and Distributed Energy Resources Locally on System Performance and Costs PI: Mount, Tim The primary objectives of this proposal were to (1) evaluate the effects of different types of storage on annual system costs and performance, (2) evaluate the effects of ramping on annual system costs and performance, (3) develop appropriate rate...
Evaluating the system and financial adequacy of portfolios of renewables, storage, and controllable loads PI: Mount, Tim The objective of this project was to use the new multi-period version of the Cornell SuperOPF to analyze the system and economic effects of having high penetrations of renewable energy on a network and to determine effective ways to mitigate the...
Managing Uncertainty in the Modern Power System: from Algorithms to Market Design PI: Bitar, Eilyan This research aims to develop novel algorithmic tools to efficiently manage the variability that renewable energy resources bring to bear on power system operations at scale. Specifically, this work aims to (1) develop distributionally robust control...
Probalistic Forecast of Real-Time LMPs PI: Tong, Lang As more renewable resources are integrated into the transmission system, and the power system operates closer to its capacity, congestion conditions become less predictable and locational marginal prices more volatile. The increased congestion...
Transmission Investment Assessment Under Uncertainty PI: Hobbs, Ben This project is developing methods that integrate capacity expansion decisions and OPF methodologies in a decomposition scheme in order to rigorously capture operational constraints such as security constraints, ramp limitations, and transmission flow...
Understanding Effects of Data Quality on Market Functions PI: Tong, Lang This project focused on data quality on the real-time market operations of a power system. In particular, the project addressed the following pertinent issues: (i) in the presence of bad data, to what degree that real-time locational marginal prices...
Virtual Bids and Flexible Bids: Risk Mitigation and Congestion Relief PI: Varaiya, Pravin This research is focused on two innovative bidding strategies in the day-ahead markets and the real-time market: virtual bids and flexible bids. This work builds on previous CERTS research, which focused on developing advances in: (a) Risk-limiting...