Added new parameter `ts_energy_(s)` to which total energy is
calculated. This parameter has the sample dimension last, as required
by the SCENRED2 tool. This allowed changing all other time series
to have indices `s, f, t` instead of previous `f, t, s` and dropping
the set `fts` completely.

Fixes #105

Only use scenarios with positive probability in building the long-term
stochastic tree. Previously this was limited to the number of scenarios,
but this allows excluding a scenario (setting its prob. to zero).

The parameters were not cleared at every loop.

See #99

Set `gn_forecasts(*, node, timeseries)` tells for which grid/flow/restype, node and timeseries combinations use forecasts and by default includes everything.

See: #99

Adding a new constraint q_maxDownward2 and modifying q_rampDownLimit. A small change to v_reserve.up to make it work with consumption units as well.

q_maxDownward2: similar to q_maxUpward2 but for v_gen and downward online+offline reserve provision

q_rampDownLimit: do not consider offline reserve provision

ran li authored Jul 10, 2019 and ran li committed Jul 10, 2019

Ciara's codes:minCons constraint allows to set the min load for PHS while still allowing foll reserve

#65: *v_startup* divided into *v_startup_LP* and *v_startup_MIP* variants to avoid undesired behavior when using integer online variables.

Replacing *IntervalStepCounter* with *tt_aggregate* due to the poor performance of *intervalStepCounter*.

*intervalStepCounter* now uses (counter, t) instead of (counter, counter_) due to the counter set being too limited in size.

Some time steps in the initial sample where also linked to the central sample.

Rewriting large portions of *3c_inputsLoop.gms* to make it more compact, and hopefully increasíng performance as well.

Also a minor speedup for setting model dimension (set `msft` etc.)

Changed behaviour of `mSetting` 't_perfectForesight' so that it’s defined from zero (not after 't_jump')

The setting does not have any effect if 't_perfectForesight' is less than 't_jump'.

New model setting `t_perfectForesight` gives number of time steps after `t_jump` where realization foreast is used

Uses new set `fts(f, t, s)` which is the same as `sft` but different order of domains.

Also removed unnecessary set `s_stochastic`.

Making it possible to choose in the modelsInit.gms file whether to include the two additional incremental heat rate equations that use binary variables:
- mSettings(m, 'incHRAdditionalConstraints') = 0: use the constraints but only for units with non-convex fuel use
- mSettings(m, 'incHRAdditionalConstraints') = 1: use the constraints for all units represented using incremental heat rates
Enabling incremental heat rates also in the invest model (and potentially in the building model). Some clean-up to the incremental heat rate equations.

Long-term scenarios should use realized (`f00`) data but time structure in the scenario period uses central forecast (`f02`).

Also enables the use of scenario tree construction with SCENRED2

All variables and equations should now be cleared between solves since "--debug=2" prints the file separately for each solve. Otherwise each new file will contain the information of all the old solves as well.