Rao Parameters: separate business from implementation specific

docs/castor/linear-problem.md

@@ -64,7 +64,7 @@ $$\begin{equation}
 \max MM - \sum_{lra \in \mathcal{LRA}} \Delta_{lra} c^{LRA}
 \end{equation}$$
 
-with $MM$ the minimum margin, $\mathcal{LRA}$ the set of LRAs, $\Delta_{lra}$ the variation of setpoint of the LRA $lra$, and $c^{LRA}$ the penalty cost (see [pst-penalty-cost](/parameters.md#pst-penalty-cost), [hvdc-penalty-cost](/parameters.md#hvdc-penalty-cost), and [injection-ra-penalty-cost](/parameters.md#injection-ra-penalty-cost)).
+with $MM$ the minimum margin, $\mathcal{LRA}$ the set of LRAs, $\Delta_{lra}$ the variation of setpoint of the LRA $lra$, and $c^{LRA}$ the penalty cost (see [pst-ra-min-impact-threshold](/parameters.md#pst-ra-min-impact-threshold), [hvdc-ra-min-impact-threshold](/parameters.md#hvdc-ra-min-impact-threshold), and [injection-ra-min-impact-threshold](/parameters.md#injection-ra-min-impact-threshold)).
 
 This way, if two solutions provide (almost) the same minimum margin, the problem will favor the one that changes the setpoints the 
 least.

docs/castor/linear-problem/core-problem-filler.md

@@ -21,7 +21,7 @@
 | Name                 | Symbol             | Details                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | Source                                                                                                                                                                                                                                                                                                                           |
 |----------------------|--------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
 | sensitivityThreshold |                    | Set to zero the sensitivities of RangeActions below this threshold; thus avoiding the activation of RangeActions which have too small an impact on the flows (can also be achieved with penaltyCost). This simplifies & speeds up the resolution of the optimization problem (can be necessary when the problem contains integer variables). However, it also adds an approximation in the computation of the flows within the MILP, which can be tricky to handle when the MILP contains hard constraints on loop-flows or monitored FlowCnecs. | Equal to [pst-sensitivity-threshold](/parameters.md#pst-sensitivity-threshold) for PSTs, [hvdc-sensitivity-threshold](/parameters.md#hvdc-sensitivity-threshold) for HVDCs, and [injection-ra-sensitivity-threshold](/parameters.md#injection-ra-sensitivity-threshold) for injection range actions |
-| penaltyCost          | $c^{penalty}_{ra}$ | Supposedly a small penalization, in the use of the RangeActions. When several solutions are equivalent, this favours the one with the least change in the RangeActions' setpoints (compared to the initial situation). It also avoids the activation of RangeActions which have to small an impact on the objective function.                                                                                                                                                                                                                    | Equal to [pst-penalty-cost](/parameters.md#pst-penalty-cost) for PSTs, [hvdc-penalty-cost](/parameters.md#hvdc-penalty-cost) for HVDCs, and [injection-ra-penalty-cost](/parameters.md#injection-ra-penalty-cost) for injection range actions                                                      |
+| penaltyCost          | $c^{penalty}_{ra}$ | Supposedly a small penalization, in the use of the RangeActions. When several solutions are equivalent, this favours the one with the least change in the RangeActions' setpoints (compared to the initial situation). It also avoids the activation of RangeActions which have to small an impact on the objective function.                                                                                                                                                                                                                    | Equal to [pst-ra-min-impact-threshold](/parameters.md#pst-ra-min-impact-threshold) for PSTs, [hvdc-ra-min-impact-threshold](/parameters.md#hvdc-ra-min-impact-threshold) for HVDCs, and [injection-ra-min-impact-threshold](/parameters.md#injection-ra-min-impact-threshold) for injection range actions                                                      |
 
 ## Defined optimization variables