Symposium Co-chairs
Eilyan Bitar, Cornell University, USA
Duncan Callaway (lead), UC Berkeley, USA
Hamed Mohsenian-Rad, UC Riverside, USA
Dusit Niyato, Nanyang Technological University, Singapore
Scope and Motivation
By changing their instantaneous consumption in response to grid-level conditions, electricity loads have the potential to improve the efficiency, flexibility and cost to operate power systems. Load responsiveness can be elicited by broadcasting a “dynamic” price to loads, where that price contains information about current grid conditions and at a minimum increases with scarcity of supply. Alternatively, loads can be made responsive by having a system operator or third party aggregator directly control their operation. Whereas dynamic pricing relies on decentralized decision-making, direct control of loads is a more centralized process in which loads must be aggregated and coordinated in a manner that achieves grid objectives but simultaneously provides adequate service to end-users.
If we are to ultimately understand and capture the complete potential of the demand side in power system operations, we need (1) models of load aggregations that are useful to system operators and aggregators, (2) models of loads that can be used for local decision-making, (3) control and optimization tools for local decisions or system-level control (4) frameworks to understand the system-level and device-level implications of decentralized and centralized coordination schemes, (5) new architectures and hardware in all parts of the system, but especially at the loads themselves.
Topics of Particular Interest
The symposium aims to focus on theoretical, experimental and proof-of-concept results of research and innovation in the areas above. Example topics of interest include, but are not limited to:
- Empirical analyses of pricing/control mechanisms for demand-side management
- Demand response testbeds and experiments
- Modeling residential, commercial, and industrial consumer behavior
- Lighting load control
- Autonomous and frequency-responsive demand side management
- Aggregation frameworks and mechanism design
- Communication architectures and hardware to support demand side management
- Smart grid services provided by demand side resources
- PHEV charging and Vehicle-to-grid systems
- Analyses of responsive loads that consider protection, reliability, and voltage control in distribution networks
Sachin Adlakha (California Institute of Technology)
Hamid Bahrami (The University of Akron)
Lijun Chen (University of Colorado at Boulder)
Ruilong Deng (Zhejiang University)
Qiumin Dong (Nanyang Technological University)
Javier Fonollosa (Universitat Politècnica de Catalunya - Barcelona Tech)
Christoph Goebel (Technical University, Munich)
Zhu Han (University of Houston)
Nikolaos Gatsis (University of Minnesota)
Jianwei Huang (Chinese University of Hong Kong)
Kimmo Kansanen (Norwegian University of Science and Technology)
Sila Kiliccote (Lawrence Berkeley National Laboratory)
Jang-Won Lee (Yonsei University)
Zhu Kun (University of Manitoba)
Husheng Li (University of Tennessee)
Hao Liang (University of Waterloo)
Ning Lu (North Carolina State University)
Zhongjing Ma (Beijing Institute of Technology)
Johanna Mathieu (ETH Zurich)
Scott Moura (University of California, San Diego)
Ashutosh Nayyar (University of California, Berkeley)
Ping Wang (Nanyang Technological University)
Mohammad Reza Vedady Moghadam Nanehkaran (National University of Singapore)
Jianhui Wang (ARNL)
Mardavij Roozebehani (Massachusetts Institute of Technology)
Walid Saad (University of Miami)
Lingyang Song (Peking University)
Josh Taylor (University of Toronto)
Ufuk Topcu (University of Pennsylvania)
Zhifang Wang (Virginia Commonwealth University)
Yunjian Xu (California Institute of Technology)
Peizhong Yi (Regal Beloit Corporation)
Rongshan Yu (Institute for Infocomm Research)
Zhenghao Zhang (Guangzhou University)
Submission Guidelines
Submission deadlines and format requirements are the same for all symposia, see here.
Paper submission needs to be performed through EDAS: http://edas.info/N13823