Component Models
This page provides concise explanations of how component models work specifically in the Real-Time Control (RTC) context.
As examples, these are component models that are modeled within HAMLET:
Battery Storage
In RTC, batteries are modeled with state-of-charge constraints and charging/discharging efficiency. The key decision variables are charging/discharging power at the current timestep.
Simplified time-coupling: Only considers a short horizon for state-of-charge evolution
Current state focus: Uses the current battery state as the initial condition
Operational constraints: Enforces power limits and prevents simultaneous charging/discharging
PV Systems
RTC models PV systems with available power as an input parameter and actual power utilization as a decision variable.
Real-time data integration: Uses current measurements of solar irradiance
Curtailment decisions: Determines whether to use or curtail available PV power
No forecasting complexity: Simplifies PV modeling compared to forecast-based controllers
Heat Pumps
Modeled with COP (Coefficient of Performance) as a parameter that converts electrical input to thermal output.
Current COP: Uses the current operating conditions to determine efficiency
Binary operation: Often modeled with on/off decisions for computational efficiency
Simplified thermal dynamics: Focuses on immediate heating/cooling capacity
Grid Connection
Models import/export power flows with current price signals as parameters.
Current prices: Uses current electricity prices rather than complex price forecasts
Power balance: Ensures instantaneous balance between generation and consumption
Grid constraints: Enforces power limits for grid connection
The RTC implementation emphasizes:
Computational efficiency: Formulated for real-time solving (seconds to minutes)
Current state focus: Uses current system states rather than complex forecasts
Simplified constraints: Focuses on immediate operational limits
Balance between optimality and solution speed: Trades off some optimality for faster decisions
These simplified models enable RTC to make quick decisions based on current conditions, which is essential for real-time energy management.