Self-Fulfilling Prophecy in Smart Green Communities; A Game Theory Approach in Transactional Demand

DATE: February 15th 2018
TIME: Refreshments, Registration and Networking: 18:00; Seminar: 18:30 – 20:00.
PLACE: Algonquin College, T-Building, Room T129, 1385 Woodroffe Ave., Ottawa.
PARKING: No fee after 5 p.m. at the Parking Lots 8 & 9. Please respect restricted areas

By Dr. Javad Fattahi, University of Ottawa SAGE Lab


The immediate consequence of shift from uniform to as-bid pricing would be a radical change in bidding behaviour that would introduce new inefficiencies, weaken competition in new generation, and impede expansion in capacity. Furthermore, using DER and purchasing its power to sew up supplies at favourable rates is not a zero-sum game, and may not obtain those favourable rates that are excepted to be typically obtained at the expense of smaller buyers. To tackle the above mentioned challenges, a self-fulfilling prophecy approach may be used which defines a impartial credit mechanism to deal with the strategic behaviour of big and small players in a shortterm auction game. It can be shown for a N-player dynamic game the Nash Equilibrium (NE) under pay-as-bid pricing will yield a larger and flatten demand being served when demand is elastic. Moreover, this multi-strategy approach can potentially fulfil the other smart-grid needs such as demand response, green house gas reduction and so on. This method is fully aligned with the scalability and interoperability requirements of smart grid standards in the presence of elastic demand.

Speakers Bio

Javad Fattahi received the B.Sc. in Electrical Engineering from Isfahan University of Technology in 2003. He received his M.Sc. in 2011 and Ph.D. in 2015 in Mechatronics Engineering (Control and Robotics) from Sharif University of Technology and the University of Ottawa, respectively. Since then, he has been active in the field in distributed control, power electronics, IoT sensors, and embedded computing as a research associate in the Smart Autonomous Grid Edge laboratory (SAGE-Lab) at uOttawa. His research interests are in the areas related to systems control, including embedded computer control, linear/nonlinear systems, and control systems for advanced motion and power electronics applications.


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