Fix pyomo breakage (#713)

* Fix broken pyomo docs links
* Set pyomo lowerbound to 6.8.2 to avoid gurobi 12 incompatibility

CHANGELOG.md

@@ -19,6 +19,10 @@
 |changed| `data_sources` -> `data_tables` and `data_sources.source` -> `data_tables.data`.
 This change has occurred to avoid confusion between data "sources" and model energy "sources" (#673).
 
+### Internal changes
+
+|fixed| Avoided gurobi 12.0 incompatibility with pyomo by setting the lower bound to v6.8.2.
+
 ## 0.7.0.dev4 (2024-09-10)
 
 ### User-facing changes

docs/creating/config.md

@@ -84,7 +84,7 @@ In fact, you can use a set of results from using `plan` model to initialise both
 ### `config.solve.solver`
 
 Possible options for solver include `glpk`, `gurobi`, `cplex`, and `cbc`.
-The interface to these solvers is done through the Pyomo library. Any [solver compatible with Pyomo](https://pyomo.readthedocs.io/en/6.5.0/solving_pyomo_models.html#supported-solvers) should work with Calliope.
+The interface to these solvers is done through the Pyomo library. Any [solver compatible with Pyomo](https://pyomo.readthedocs.io/en/latest/reference/topical/appsi/appsi.solvers.html) should work with Calliope.
 
 For solvers with which Pyomo provides more than one way to interface, the additional `solver_io` option can be used.
 In the case of Gurobi, for example, it is usually fastest to use the direct Python interface:

docs/installation.md

@@ -62,7 +62,7 @@ However, we recommend to not use this solver where possible, since it performs r
 Indeed, our example models use the free and open source [CBC](#cbc) solver instead, but installing it on Windows requires an extra step.
 [CBC](#cbc) (open-source) or [Gurobi](#gurobi) (commercial) are recommended for large problems, and have been confirmed to work with Calliope.
 The following subsections provide additional detail on how to install a solver.
-This list is not exhaustive; any solvers [supported by Pyomo](https://pyomo.readthedocs.io/en/stable/solving_pyomo_models.html#supported-solvers) can be used.
+This list is not exhaustive; any solvers [supported by Pyomo](https://pyomo.readthedocs.io/en/latest/reference/topical/appsi/appsi.solvers.html) can be used.
 
 ### CBC
 

requirements/base.txt

@@ -9,8 +9,8 @@ natsort >= 8, < 9
 netcdf4 >= 1.2, < 1.7
 numpy >= 1, < 2
 pandas >= 2.1.3, < 2.3  # Minimum bound is 2.1.3 because of a regression in v2.1.0/2.1.1 inflating time/memory consumption on groupby operations with MultiIndex
-pyomo >= 6.5, < 6.7.2
+pyomo >= 6.8.2, < 7
 pyparsing >= 3.0, < 3.1
 ruamel.yaml >= 0.18, < 0.19
 typing-extensions >= 4, < 5
-xarray >= 2024.1, < 2024.4
+xarray >= 2024.1, < 2024.4