SourceCode.Power.ftt_p_main

ftt_p_main.py

Power generation FTT module, main file.

The power module models technological replacement of electricity generation technologies due to simulated investor decision making. Investors compare the levelised cost of electricity, which leads to changes in the market shares of different technologies.

After market shares are determined, the rldc function is called, which calculates residual load duration curves. This function estimates how much power needs to be supplied by flexible or baseload technologies to meet electricity demand at all times. This function also returns load band heights, curtailment, and storage information, including storage costs and marginal costs for wind and solar.

FTT: Power also includes dispatchers decisions; dispatchers decide when different technologies supply the power grid. Investor decisions and dispatcher decisions are matched up, which is an example of a stable marraige problem.

Costs in the model change due to endogenous learning curves, costs for electricity storage, as well as increasing marginal costs of resources calculated using cost-supply curves. Cost-supply curves are recalculated at the end of the routine.

Local library imports:

FTT: Core functions: - get_sales

Generic investment function (new plus end-of-life replacement)

• shares

  Market shares simulation (core of the model)

FTT: Power functions:

• rldc

  Residual load duration curves

• dspch

  Dispatch of capacity

• get_lcoe

  Levelised cost calculation

• survival_function

  Calculate of scrappage, sales, tracking of age, and average efficiency.

• cost_curves

  Calculates increasing marginal costs of resources

Support functions:

• divide

  Element-wise divide which replaces divide-by-zeros with zeros

Functions included:

• solve

  Main solution function for the module

Functions

solve(data, time_lag, titles, histend, year, ...)

Main solution function for the module.