Optimized Control of Local Energy Assets for Participation in Real-Time Energy Markets

Description

Researchers at Arizona State University have developed a smart control architecture for hybrid thermal and electrical energy systems. Advancements in model predictive control (MPC) techniques enable dispatching of multiple energy resources at a building or within a geographical region supported by a single point of coupling to a larger energy network. The controls approach maintains reliability while optimizing real-time operations by accounting for future variability in loads, renewable resources, energy storage levels, and electrical and thermal rates. With the ability to offer ancillary services (e.g., reactive power support, spinning reserve, non-spinning reserve) to the larger electric grid, this system supports resiliency and revenue generation for the owner/operator through selling of those services to the electric utility. 

Potential Applications

•       On- and off-grid buildings

•       Military forward operating bases (FOBs)

•       Hospitals

•       Data centers

Benefits and Advantages

•       Offers ancillary services such as reactive power support, spinning reserve, and non-spinning reserve

•       Enables trading of power and energy with surrounding entities, resulting in lower energy costs within a system, increased resiliency, and increased local network reliability 

•       Integrates electrical and thermal systems into a single control architecture

Case ID:
M19-197P^
Published:
03-12-2020
Last Updated:
03-25-2020

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