Support more output from `m.runpf()`

[yasirroni-au]

From case2.m output dict:

dict_keys(['version', 'baseMVA', 'bus', 'gen', 'branch', 'gencost', 'order', 'et', 'success', 'iterations', 'getdoc'])

{'version': '2',
 'baseMVA': 100.0,
 'bus': array([[ 1.00000000e+00,  3.00000000e+00,  0.00000000e+00,
          0.00000000e+00,  0.00000000e+00,  0.00000000e+00,
          1.00000000e+00,  1.00000000e+00,  0.00000000e+00,
          3.45000000e+02,  1.00000000e+00,  1.10000000e+00,
          9.00000000e-01],
        [ 2.00000000e+00,  1.00000000e+00,  2.50000000e+00,
          1.00000000e+00,  0.00000000e+00,  0.00000000e+00,
          1.00000000e+00,  9.99498967e-01, -7.16556448e-02,
          3.45000000e+02,  1.00000000e+00,  1.10000000e+00,
          9.00000000e-01]]),
 'gen': array([[   1.        ,    2.5       ,    1.00362863,  300.        ,
         -300.        ,    1.        ,  100.        ,    1.        ,
           15.        ,    0.        ,    0.        ,    0.        ,
            0.        ,    0.        ,    0.        ,    0.        ,
            0.        ,    0.        ,    0.        ,    0.        ,
            0.        ]]),
 'branch': array([[ 1.00000000e+00,  2.00000000e+00,  0.00000000e+00,
          5.00000000e-02,  0.00000000e+00,  2.50000000e+02,
          2.50000000e+02,  2.50000000e+02,  0.00000000e+00,
          0.00000000e+00,  1.00000000e+00, -3.60000000e+02,
          3.60000000e+02,  2.50000000e+00,  1.00362863e+00,
         -2.50000000e+00, -9.99999997e-01]]),
 'gencost': array([[   2., 1500.,    0.,    3.,    0.,    5.,    0.]]),
 'order': {'bus': {'e2i': <Compressed Sparse Column sparse array of dtype 'float64'
   	with 2 stored elements and shape (2, 1)>,
   'i2e': array([[1.],
          [2.]]),
   'status': {'on': array([[1.],
           [2.]]),
    'off': array([], shape=(0, 1), dtype=float64)}},
  'gen': {'e2i': 1.0, 'i2e': 1.0, 'status': {'on': 1.0, 'off': []}},
  'branch': {'status': {'on': 1.0, 'off': []}},
  'state': 'e',
  'int': {'bus': array([[ 1.00000000e+00,  3.00000000e+00,  0.00000000e+00,
            0.00000000e+00,  0.00000000e+00,  0.00000000e+00,
            1.00000000e+00,  1.00000000e+00,  0.00000000e+00,
            3.45000000e+02,  1.00000000e+00,  1.10000000e+00,
            9.00000000e-01],
          [ 2.00000000e+00,  1.00000000e+00,  2.50000000e+00,
            1.00000000e+00,  0.00000000e+00,  0.00000000e+00,
            1.00000000e+00,  9.99498967e-01, -7.16556448e-02,
            3.45000000e+02,  1.00000000e+00,  1.10000000e+00,
            9.00000000e-01]]),
   'branch': array([[ 1.00000000e+00,  2.00000000e+00,  0.00000000e+00,
            5.00000000e-02,  0.00000000e+00,  2.50000000e+02,
            2.50000000e+02,  2.50000000e+02,  0.00000000e+00,
            0.00000000e+00,  1.00000000e+00, -3.60000000e+02,
            3.60000000e+02,  2.50000000e+00,  1.00362863e+00,
           -2.50000000e+00, -9.99999997e-01]]),
   'gen': array([[   1.        ,    2.5       ,    1.00362863,  300.        ,
           -300.        ,    1.        ,  100.        ,    1.        ,
             15.        ,    0.        ,    0.        ,    0.        ,
              0.        ,    0.        ,    0.        ,    0.        ,
              0.        ,    0.        ,    0.        ,    0.        ,
              0.        ]])}},
 'et': 0.05357098579406738,
 'success': 1,
 'iterations': 2.0,
 'getdoc': {}}

---

The easier part is to include 'et', 'success', 'iterations'. As it serve as info, for export, place it on:

        pd.DataFrame(
            data={
                "INFO": {
                    "version": getattr(self, "version", None),
                    "baseMVA": getattr(self, "baseMVA", None),
                }
            }
        ).to_csv(os.path.join(path, f"{prefix}info{suffix}.csv"))

https://github.com/UGM-EPSLab/matpowercaseframes/blob/b859fd5c08d8fd7eef052017564f2d1f63c232fc/matpowercaseframes/core.py#L600C1-L607C66

But the code need to be refactored to only add the keys when it is not None for 'et', 'success', 'iterations'.