Abstract
As the drive to integrate renewable resources into the modern power grid grows, services such as demand response (DR) capable of providing ancillary services (AS) for grid stabilization has become a central focus of current research. While DR programs are effective in theory, utilities are reticent to implement because of lack of data. The next step is to provide a platform to test proposed mechanisms to move toward implementation. This work presents a complete package for internet-of-things hardware-in-the-loop simulation offering scalability in simulation, integration with real and simulated device nodes and full control over grid parameters. It is a DR testbed providing telemetry and actuation for connected loads which, itself, serves as a node in a larger software based PSIM power simulation. Simulated node’s characteristics are modeled from the real node’s data. Increasing penetration of intermittent renewable generation resource challenges grid operators in providing stability to the grid and balancing generation to meet load [1–3]. In addition to improving social welfare [4] DR has been shown to be a viable solution to providing a portion of AS which is able to contribute to stabilizing grid conditions [5–7]. The testbed is used to test a DR response algorithm published previous at the REDlab for grid frequency control using DR [8].
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