Experiment Specification TC12.TS01.ES01
Co-Simulation of Electric Boiler Activation for Excess Power Consumption with Proportional Controllers
ID | TC12.TS01 |
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Reference to Test Case | TC12 |
Title of Test | Electric Boiler Activation for Excess Power Consumption with Proportional Controllers |
Test Rationale | This test aims at self-consumption of excess power generated from distributed renewable power generators (i.e., the rooftop PV generators). The excess power is fed into the local heating network. The local use of excess power helps mitigate problems in the electric distribution network, such as reversed power flows, high loading of equipment and voltage band violations. On the other side, distributed infeed into the local heating network might cause problems due to reversed mass flows, fluctuating supply temperatures or differential pressure problems. Electric boilers are used as power-to-heat appliances. They consist of an electric heater, for the conversion of power to heat, and a thermal energy storage, for the (short-term) storage of generated heat. The operation of the electric boilers and storage units are governed by simple proportional controllers. |
Specific Test System (graphical) | This test case uses simple proportional controllers with fixed operational parameters (e.g., temperature thresholds) to calculate new setpoints for the electric boilers. The district heating network/electric boiler simulation send actual power consumption of electric boilers to the electric network simulation. A detailed description of the controller scheme is given in: https://doi.org/10.1016/j.energy.2020.118540 |
Target measures | The test is successfully passed if power flows to the external network are reduced compared to a scenario without power-to-heat. Simultaneously, power import into the network is not allowed to increase by more than 1%. Moreover, relevant network constraints need to be met. |
Input and output parameters |
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Test Design | This test needs to run for an entire year to account for the daily/seasonal variations of loads/generators and the impact of the predictive control, as it usually plans ahead several hours/days. |
Initial system state |
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Evolution of system state and test signals |
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Other parameters | None |
Temporal resolution | Local heating and electric boilers:
Electric network and predictive controllers:
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Source of uncertainty | None |
Suspension criteria / Stopping criteria |
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Co-Simulation of Electric Boiler Activation for Excess Power Consumption with Proportional Controllers