Day-Ahead and Real-Time Markets Simulation Methodology on Hydro Storage
Yang Gu*; Jordan Bakke†; James McCalley‡ * NRG Energy, Princeton, NJ, 08540† Midcontinent Independent System Operator, Inc., Eagan, MN 55121‡ Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, 50011
Abstract
This chapter presents a simulation methodology that evaluates the economic performance of hydro storage system in the day-ahead (DA) and real-time (RT) markets. A long-term production cost simulation model is employed which conducts Security-Constrained Unit Commitment (SCUC) and Security-Constrained Economic Dispatch (SCED) and co-optimizes both the energy market and the ancillary services market. A novel simulation method ...
Get Energy Storage for Smart Grids now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.