semibrute

semi-brute force method to optimize household solar PV and battery capacity

• An explicit time-marching solver for energy balance with a one-hour time step. Optimize both operation and capacities.
• Supports non-linear functions, lookup tables and such
• Operation of the system is optimized with the semi-brute force method
  • For an optimization horizon, for example 24 h, there are 24+1 options to charge storage starting from no charge at all: charge during the cheapest hour, during two of the cheapest hours, during three of the cheapest hours etc.
  • The objective is to minimize the levelized cost of electricity
• Unit capacities are optimized with additional optimization methods, such as genetic algorithm in this case example.

How to run the model? (in Matlab)

1. Modify settings and input data in run_model_003_solar_PV_battery.m and run it
   • Input time series are used for solar power profile, electricity market price, and household electricity demand
   • There is a possibility to either optimize some variables (battery capacity, battery power, and solar capacity) or to use fixed values
2. fun_003_solar_PV_battery.m is called and does the main work
3. Plot results with plot_003.m

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Example week

Example year