Chapter 7

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


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 O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.