Update code to work with Pyomo 6

[grgmiller]

The code is currently limited to only work with <= 5.6.8. However, CPLEX is incompatible with versions < 5.7.3. It would also probably be good to update to the newest version.

This issue was raised in the original switch documentation:

• Installation with pyomo 5.7 fails switch-model/switch#130
• Updating Pyomo version switch-model/switch#132

Steps:

• Test branch to make sure it is error free on 5.6.8
• Create a new switch environment that uses Pyomo 6
• Run the code and see what breaks
• Fix it!
• Test updates with CPLEX

[grgmiller]

We are currently using Pyomo 5.6.8 (Dec 2019) and we want to update to the Pyomo 6.1. According to the changelog, the following updates will need to be addressed:

• May need to re-work sets

[grgmiller]

Changes encountered so far include:

• OrderedSimpleSet became OrderedScalarSet
• SimpleParam became ScalarParam
• DEPRECATED: The default domain for Param objects is 'Any'. However,
  we will be changing that default to 'Reals' in the future. If you really
  intend the domain of this Param (tp_timestamp) to be 'Any', you can
  suppress this warning by explicitly specifying 'within=Any' to the Param
  constructor. (deprecated in 5.6.9, will be removed in 6.0) (called from
  C:\Users\gmiller\miniconda3\envs\switch_pyomo_update\lib\site-
  packages\pyomo\core\base\PyomoModel.py:856)
  WARNING: Initializing ordered Set PERIODS_FOR_GEN_BLD_YR with a fundamentally
  unordered data source (type: set). This WILL potentially lead to
  nondeterministic behavior in Pyomo

Removed PERIODS_FOR_GEN_BLD_YR, and TPS_FOR_GEN_IN_PERIOD because not used in the model

[grgmiller]

The update also introduced an error when loading tabular data using the load_aug() function in utilities.py. When specifying an index=, it was no longer properly calculating the number of dimensions of the set, returning an UnknownSetDimen type object. Pyomo must have started requiring that the number of dimensions be manually specified, so to fix this, I had to add dimen=1 to several sets that are used as indexes when loading data, such as PERIODS