Example 05: Wind and storage with LMP-based control

Example 05: Wind and storage with LMP-based control#

Description#

Example of a wind and storage hybrid plant with a controller that responds to Locational Marginal Pricing (LMP) signals. The controller:

  • Charges the battery when real-time LMP is below $15/MWh (low prices)

  • Discharges the battery when real-time LMP is above $35/MWh (high prices)

  • Keeps the battery idle for intermediate prices

This example also demonstrates the new selective external data logging feature. Both lmp_rt and lmp_da are available to the controller via h_dict["external_signals"], but only lmp_rt is logged to the HDF5 output file as specified in log_channels.

Setup#

No manual setup is required. The example automatically generates the necessary input files (wind data, FLORIS configuration, turbine model, and LMP data) when first run.

Running#

To run the example, execute the following command in the terminal:

python hercules_runscript.py

The simulation runs for 4 hours with the following characteristics:

  • Real-time LMP ramps from \(0 to \)50/MWh over 4 hours

  • Day-ahead LMP remains constant at $10/MWh

  • Only real-time LMP is logged to output (selective logging)

Outputs#

To plot the outputs, run the following command in the terminal:

python plot_outputs.py

The plot shows:

  1. Wind and battery power with interconnect limits

  2. Battery state of charge (SOC)

  3. Battery power vs setpoint

  4. LMP prices and control thresholds

Note that lmp_rt appears in the HDF5 output file, but lmp_da does not (as specified in log_channels), even though both were available to the controller.

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