Enabling Automated Dynamic Demand Response: From Theory to Practice

Conference · 14 July 2015

DOI:https://doi.org/10.1145/2768510.2775333· OSTI ID:1332347

Frincu, Marc; Chelmis, Charalampos; Aman, Saima; Saeed, Rizwan; Zois, Vasileios; Prasanna, Viktor

Demand response (DR) is a technique used in smart grids to shape customer load during peak hours. Automated DR offers utilities a fine grained control and a high degree of confidence in the outcome. However the impact on the customer's comfort means this technique is more suited for industrial and commercial settings than for residential homes. In this paper we propose a system for achieving automated controlled DR in a heterogeneous environment. We present some of the main issues arising in building such a system, including privacy, customer satisfiability, reliability, and fast decision turnaround, with emphasis on the solutions we proposed. Based on the lessons we learned from empirical results we describe an integrated automated system for controlled DR on the USC microgrid. Results show that while on a per building per event basis the accuracy of our prediction and customer selection techniques varies, it performs well on average when considering several events and buildings.

• Research Organization: City of Los Angeles Department
• Sponsoring Organization: USDOE Office of Electricity (OE)
• DOE Contract Number: OE0000192
• OSTI ID: 1332347
• Report Number(s): DOE-USC-00192-68
• Resource Relation: Conference: ACM e-Energy Bangalore, India July 14-17, 2015
• Country of Publication: United States
• Language: English