Abstract
In this paper, an optimization-based self-scheduling model is developed for an energy storage system participating in both energy and operating reserve markets of the Alberta electricity market. Preliminary results from two demonstrative cases as well as sensitivity analysis are conducted to investigate the potential revenue streams for an energy storage system as in the Alberta electricity market. At first, the features of Alberta operating reserve system is studied in detail. Furthermore, the mechanism of pricing and clearing the operating reserve market used by the Alberta Electric System Operator (AESO) is probed and explained. Thereafter, a co-optimization platform for the self-scheduling of the storage facility is developed. The publicly available historical data of the Alberta electricity market are used to explore the potential revenue opportunities obtained from different products offered by the facility. The result show that the majority of the revenue is gained from the operating reserve market, primarily from the regulating reserve and then spinning reserve services.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
