Experiment Specification 3.01.02

3.01.02

TC3

Centralized cloud-based PPC for real-time supervision and control of PV systems

UCY-FOSS DER-Grid Smart Facility

Real-time supervision (streaming of high-resolution smart meter and PV system data) and centralized control methods proposed in Test Specification 22.01 (immediate controls such as connection/disconnection, active power limitation and enabling control strategies) will be demonstrated using a cloud-based SCADA platform.

The PAC installed at the feeder will stream high-resolution data (1-second) acquired from the smart meter and PV system inverter to the cloud database. The implemented cloud-based dashboards will provide the interface for visualizing in real-time the acquired data and to provide centralized control functionalities (relaying control signals for immediate smart inverter active power limitation and enabling Volt-VAR or Volt-Watt operational modes).

• PV system with smart inverter (SMA SB 3.0 PV inverter)
• Smart meter (Schneider PM8000)
• PAC (Gantner Instruments Q.Station XT)
• RTS CHIL testbed (Typhoon HIL 604)

The experiment entails the configuration of a PAC, installed at the DER-Grid Smart Facility feeder, to acquire and stream in real-time data from the smart meter and PV system inverter. Data acquisition will be implemented using the vendor-specific and SunSpec Modbus registers. The data streams created and stored at the PAC will be setup for real-time streaming to a centralized cloud database.

Accordingly, an online cloud-based platform comprising of different dashboards will be designed in order to demonstrate the proposed observability and interoperability concepts. More specifically, a SCADA dashboard will be created to act as the supervision interface and exhibit in real-time the measurements streamed from the underlying assets of the feeder (smart meter and inverter). Moreover, a PPC control dashboard will be developed in order to provide the user interoperability interface for enabling the PV system control signaling (set-points for immediate and localized controls).

The effectiveness of the centralized supervision and control methods will be demonstrated by enabling remotely the implemented control modes of the smart inverter through the cloud-based system.

Finally, the functional response and latency of the cloud-based supervision and control system will be further verified in a CHIL approach using a RTS testbed. The RTS testbed will be utilized in order to vary the grid condition settings (varying in real-time the reference voltage at the PCC of the feeder via SunSpec Modbus over TCP/IP and analyzing the response of the controller).

• Uncertainty of smart meter voltage and power measurements (0.5%)
• Uncertainty of smart inverter active and reactive power measurements (1%)

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