Project 2.3 Demand Response Technologies and Strategies: Energy Management and Metering Kankar Bhattacharya and Claudio Cañizares Students: Rupali Jain, Rajib Kundu, Felipe Ramos Gaete Department of Electrical & Computer Engineering University of Waterloo, Waterloo, Ontario, Canada

Research Objectives Develop new Demand Response models and tools for various customer categories in an Energy Hub (continuation of an ongoing OCE project): – Industrial Hubs: Various types not considered so far – Residential Hubs: Buildings – Agricultural Hubs: Implementation of previously developed greenhouse models – Commercial/Institutional Hubs: Arena models and implementation Determine resulting benefits in terms of reduction in peak load and energy consumption 2

3 Source: Energy Hub Management System Project Overview

4 Source: Energy Hub Management System Project Overview

5 Overview Agricultural Hubs: Greenhouses Residential Hubs: Large Residential Complexes Commercial & Institutional Hubs: Ice Rinks

Literature review on DR and load models: various industries, arenas and buildings 2012 Mathematical model development & optimization studies 2013 Mathematical model development & optimization studies 2014 DR models tuning, testing and possible implementation 2015 DR models tuning, testing and possible implementation

This Project Design scheduling algorithms to determine cost and benefits Algorithms for optimizing DR Project 2.2 Impact on steady state, and dynamic performance Supervisory control and power management strategies Project 2.1 Identification of benefits Method for quantifying benefits Project 2.4 Control, communication layers Models for different operating scenarios and study cases Project 1 Operation, control and protection of smart microgrids 7

8 Gaps Real case studies Sector specific data Implementation