mp.mm_shared_opf_legacy

class mp.mm_shared_opf_legacy

Bases: handle

mp.mm_shared_opf_legacy - Mixin class for legacy optimal power flow (OPF) math model objects.

An abstract mixin class inherited by optimal power flow (OPF) math model objects that need to handle legacy user customization mechanisms.

Method Summary

def_set_types_legacy()

init_set_types_legacy()

get_mpc(om)

build_legacy(nm, dm, mpopt)

add_legacy_user_vars(nm, dm, mpopt)

add_legacy_user_costs(nm, dm, dc)

add_legacy_user_constraints(nm, dm, mpopt)

add_legacy_user_constraints_ac(nm, dm, mpopt)

add_legacy_cost(om, name, idx, varargin)

add_legacy_cost() - Add a set of user costs to the model

mm.add_legacy_cost(name, cp)
mm.add_legacy_cost(name, idx, varsets)
mm.add_legacy_cost(name, idx_list, cp)
mm.add_legacy_cost(name, idx_list, cp, varsets)

eval_legacy_cost(om, x, name, idx)

eval_legacy_cost() - Evaluate individual or full set of legacy user costs.

f = mm.eval_legacy_cost(x ...)
[f, df] = mm.eval_legacy_cost(x ...)
[f, df, d2f] = mm.eval_legacy_cost(x ...)
[f, df, d2f] = mm.eval_legacy_cost(x, name)
[f, df, d2f] = mm.eval_legacy_cost(x, name, idx_list)

params_legacy_cost(om, name, idx)

params_legacy_cost() - Return cost parameters for legacy user-defined costs.

cp = mm.params_legacy_cost()
cp = mm.params_legacy_cost(name)
cp = mm.params_legacy_cost(name, idx)
[cp, vs] = mm.params_legacy_cost(...)
[cp, vs, i1, iN] = mm.params_legacy_cost(...)