Groupe d’études et de recherche en analyse des décisions

Soutenance de thèse de doctorat d'Amir Abiri-Jahromi

26 novembre 2015

Titre : Demand response as a power system resource

Date : 26 novembre 2015 à 14:00
Lieu : Université McGill, Pavillon McConnell (génie)
Salle : 603
Directeur : François Bouffard

Résumé : The vision of demand-side participation in power system operation and control is on the verge of realization as advanced metering infrastructure, embedded control systems, and advanced communication technologies are becoming ubiquitous in the power industry. In chorus, the rapid integration of intermittent and non-dispatchable renewable energy resources with energy security and environmental objectives underscores the significance of demand response as an important ingredient of the future smart grid paradigm.

This dissertation proposes a methodology to characterize and control the achievable demand response from a population of thermostatically-control loads (TCLs) for the provision of contingency-type reserve/ramping products. First, the uncertainty associated with the instantaneous power consumption of a typical TCL is described by a set of random variables and their statistics. TCL statistics are then employed to characterize the exploitable flexibility from a large population of similar devices. From this, a control strategy and parameters are introduced for sporadic (i.e., contingency-type) reserve provision by the population. Furthermore, the challenges of the wide-spread adoption of TCL-based reserve resources are addressed. This includes the reconnection of the TCLs to the grid after participation in power system control. Moreover, a metric is introduced to examine the trade-off between demand response potential from TCLs and TCL users’ satisfaction with their quality of service.

In addition, a framework is introduced to examine different aspects of power system operation and planning in the presence of demand response resources like TCLs. The proposed framework works based on the characterization and minimal representation of the feasibility regions of power systems in the demand space. Specifically, the proposed framework can be employed to investigate the use of demand response resources for network management in the presence of renewable energy resources.

Biographie : Amir Abiri-Jahromi received the B.Sc. degree in electrical engineering from Shiraz University, Shiraz, Iran, in 2003 and the M.Sc. degree in energy systems engineering from Sharif University of Technology, Tehran, Iran, in 2007, and is currently pursuing the Ph.D. degree at McGill University, Montreal, QC, Canada under the supervision of Professor Francois Bouffard. He was a research assistant in the Department of Electrical Engineering at Sharif University of Technology from 2008 to 2010. He was also a research and development engineer with ITA and UIS joint-venture Co., from 2008 to 2010. His research interests are asset management and automation as well as modeling, operation, and optimization of smart electricity grids.