multi_investment_periods causes sector study to crash

[trevorb1]

Checklist

• I am using the current master branch
• I am running on an up-to-date pypsa-usa environment. Update via conda env update -f envs/environment.yaml

The Issue

In solve_network there is an option that sets...

kwargs["multi_investment_periods"] = config["foresight"] == "perfect"

This is needed (as elaborated in PR #581), however, running sector studies with this causes it to crash with the error below. I believe the origin of the issue has to due with the non-road transport LPG buses (ie. air, boat, and train). But I havent managed to track down the exact cause.

Relates to issue #428

Steps To Reproduce

No response

Expected Behavior

No response

Error Message

Traceback (most recent call last):
  File "/home/trevor/master/pypsa-usa/workflow/.snakemake/scripts/tmp7j1x2iw6.solve_network.py", line 1748, in <module>
    n = solve_network(
        ^^^^^^^^^^^^^^
  File "/home/trevor/master/pypsa-usa/workflow/.snakemake/scripts/tmp7j1x2iw6.solve_network.py", line 1685, in solve_network
    status, condition = n.optimize(**kwargs)
                        ^^^^^^^^^^^^^^^^^^^^
  File "/home/trevor/miniforge3/envs/pypsa-usa/lib/python3.11/site-packages/pypsa/optimization/optimize.py", line 615, in __call__
    return optimize(self._parent, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/trevor/miniforge3/envs/pypsa-usa/lib/python3.11/site-packages/pypsa/optimization/optimize.py", line 578, in optimize
    m = create_model(
        ^^^^^^^^^^^^^
  File "/home/trevor/miniforge3/envs/pypsa-usa/lib/python3.11/site-packages/pypsa/optimization/optimize.py", line 284, in create_model
    define_nodal_balance_constraints(
  File "/home/trevor/miniforge3/envs/pypsa-usa/lib/python3.11/site-packages/pypsa/optimization/constraints.py", line 605, in define_nodal_balance_constraints
    raise ValueError("Empty LHS with non-zero RHS in nodal balance constraint.")
ValueError: Empty LHS with non-zero RHS in nodal balance constraint.

Anything else?

No response