Enhancement features development

andes/core/model/model.py

@@ -526,7 +526,7 @@ def set(self, src, idx, attr, value):
 
         return True
 
-    def alter(self, src, idx, value):
+    def alter(self, src, idx, value, attr='v'):
         """
         Alter values of input parameters or constant service.
 
@@ -546,17 +546,43 @@ def alter(self, src, idx, value):
             The device to alter
         value : float
             The desired value
+        attr : str
+            The attribute to alter, default is 'v'.
+
+        Notes
+        -----
+        New in version 1.9.3: Added the `attr` parameter and the feature to alter
+        specific attributes. This feature is useful when you need to manipulate parameter
+        values in the system base and ensure that these changes are reflected in the
+        dumped case file.
+
+        Examples
+        --------
+        >>> import andes
+        >>> ss = andes.load(andes.get_case('5bus/pjm5bus.xlsx'), setup=True)
+        >>> ss.GENCLS.alter(src='M', idx=2, value=1, attr='v')
+        >>> ss.GENCLS.get(src='M', idx=2, attr='v')
+        3.0
+        >>> ss.GENCLS.alter(src='M', idx=2, value=1, attr='vin')
+        >>> ss.GENCLS.get(src='M', idx=2, attr='v')
+        1.0
         """
 
         instance = self.__dict__[src]
 
-        if hasattr(instance, 'vin') and (instance.vin is not None):
-            self.set(src, idx, 'vin', value)
+        if not hasattr(instance, 'vin'):
+            raise AttributeError(f"{self.class_name}.{src} has no `vin` attribute.")
 
+        if hasattr(instance, 'vin') and (instance.vin is not None):
             uid = self.idx2uid(idx)
-            self.set(src, idx, 'v', value * instance.pu_coeff[uid])
+            if attr == 'vin':
+                self.set(src, idx, 'vin', value / instance.pu_coeff[uid])
+                self.set(src, idx, 'v', value=value)
+            else:
+                self.set(src, idx, 'vin', value)
+                self.set(src, idx, 'v', value * instance.pu_coeff[uid])
         else:
-            self.set(src, idx, 'v', value)
+            self.set(src, idx, attr=attr, value=value)
 
     def get_inputs(self, refresh=False):
         """

andes/core/model/modeldata.py

@@ -202,12 +202,15 @@ def as_df(self, vin=False):
         Export all parameters as a `pandas.DataFrame` object.
         This function utilizes `as_dict` for preparing data.
 
+        Parameters
+        ----------
+        vin : bool
+            If True, export all parameters from original input (``vin``).
+
         Returns
         -------
         DataFrame
             A dataframe containing all model data. An `uid` column is added.
-        vin : bool
-            If True, export all parameters from original input (``vin``).
         """
         if vin is False:
             out = pd.DataFrame(self.as_dict()).set_index('uid')

andes/models/group.py

@@ -5,6 +5,7 @@
 import numpy as np
 
 from andes.core.service import BackRef
+from andes.shared import pd
 from andes.utils.func import list_flatten, validate_keys_values
 
 logger = logging.getLogger(__name__)
@@ -243,6 +244,38 @@ def set(self, src: str, idx, attr, value):
 
         return True
 
+    def alter(self, src, idx, value, attr='v'):
+        """
+        Alter values of input parameters or constant service for a group of models.
+
+        .. note::
+            New in version 1.9.3.
+
+        Parameters
+        ----------
+        src : str
+            The parameter name to alter
+        idx : str, float, int
+            The unique identifier for the device to alter
+        value : float
+            The desired value
+        attr : str, optional
+            The attribute to alter. Default is 'v'.
+        """
+        self._check_src(src)
+        self._check_idx(idx)
+
+        idx, _ = self._1d_vectorize(idx)
+        models = self.idx2model(idx)
+
+        if isinstance(value, (str, int, float, np.integer, np.floating)):
+            value = [value] * len(idx)
+
+        for mdl, ii, val in zip(models, idx, value):
+            mdl.alter(src, ii, val, attr=attr)
+
+        return True
+
     def find_idx(self, keys, values, allow_none=False, default=None, allow_all=False):
         """
         Find indices of devices that satisfy the given `key=value` condition.
@@ -442,6 +475,9 @@ def get_all_idxes(self):
         """
         Return all the devices idx in this group.
 
+        .. note::
+            New in version 1.9.3.
+
         Returns
         -------
         list
@@ -463,6 +499,63 @@ def get_all_idxes(self):
         """
         return list(self._idx2model.keys())
 
+    def as_dict(self, vin=False):
+        """
+        Export group common parameters as a dictionary.
+
+        .. note::
+            New in version 1.9.3.
+
+        This method returns a dictionary where the keys are the `ModelData` parameter names
+        and the values are array-like structures containing the data in the order they were added.
+        Unlike `ModelData.as_dict()`, this dictionary does not include the `uid` field.
+
+        Parameters
+        ----------
+        vin : bool, optional
+            If True, includes the `vin` attribute in the dictionary. Default is False.
+
+        Returns
+        -------
+        dict
+            A dictionary of common parameters.
+        """
+        out_all = []
+        out_params = self.common_params.copy()
+        out_params.insert(2, 'idx')
+
+        for mdl in self.models.values():
+            if mdl.n <= 0:
+                continue
+            mdl_data = mdl.as_df(vin=True) if vin else mdl.as_dict()
+            mdl_dict = {k: mdl_data.get(k) for k in out_params if k in mdl_data}
+            out_all.append(mdl_dict)
+
+        if not out_all:
+            return {}
+
+        out = {key: np.concatenate([item[key] for item in out_all]) for key in out_all[0].keys()}
+        return out
+
+    def as_df(self, vin=False):
+        """
+        Export group common parameters as a `pandas.DataFrame` object.
+
+        .. note::
+            New in version 1.9.3.
+
+        Parameters
+        ----------
+        vin : bool
+            If True, export all parameters from original input (``vin``).
+
+        Returns
+        -------
+        DataFrame
+            A dataframe containing all model data. An `uid` column is added.
+        """
+        return pd.DataFrame(self.as_dict(vin=vin))
+
     def doc(self, export='plain'):
         """
         Return the documentation of the group in a string.
@@ -579,7 +672,7 @@ class StaticGen(GroupBase):
 
     def __init__(self):
         super().__init__()
-        self.common_params.extend(('Sn', 'Vn', 'p0', 'q0', 'ra', 'xs', 'subidx'))
+        self.common_params.extend(('bus', 'Sn', 'Vn', 'p0', 'q0', 'ra', 'xs', 'subidx'))
         self.common_vars.extend(('q', 'a', 'v'))
 
         self.SynGen = BackRef()
@@ -642,7 +735,7 @@ class SynGen(GroupBase):
 
     def __init__(self):
         super().__init__()
-        self.common_params.extend(('Sn', 'Vn', 'fn', 'bus', 'M', 'D', 'subidx'))
+        self.common_params.extend(('bus', 'gen', 'Sn', 'Vn', 'fn', 'M', 'D', 'subidx'))
         self.common_vars.extend(('omega', 'delta', ))
         self.idx_island = []
         self.uid_island = []

docs/source/release-notes.rst

@@ -16,12 +16,21 @@ v1.9.3 (2024-04-XX)
 - In symbolic processor, most variables are assumed to be real, except some
   services that are specified as complex. This will allow generating simplified
   expressions.
-- Adjust `BusFreq.Tw.default` to 0.1.
+- Adjust ``BusFreq.Tw.default`` to 0.1.
 - Add parameter from_csv=None in TDS.run() to allow loading data from CSV files at TDS begining.
-- Fix `TDS.init()` and `TDS._csv_step()` to fit loading from CSV when `Output` exists.
-- Add parameter `allow_all=False` to `ModelData.find_idx()` `GroupBase.find_idx()` to allow searching all matches.
-- Add method `GroupBase.get_all_idxes()` to get all indices of a group.
-- Enhanced three-winding transformer parsing in PSS/E raw files by assigning the equivalent star bus `area`, `owner`, and `zone` using the high-voltage bus values.
+- Fix ``TDS.init()`` and ``TDS._csv_step()`` to fit loading from CSV when ``Output`` exists.
+- Add function signature ``allow_all=False`` to ``ModelData.find_idx()`` ``GroupBase.find_idx()``
+  to allow searching all matches.
+- Enhanced three-winding transformer parsing in PSS/E raw files by assigning the equivalent star bus ``area``,
+  ``owner``, and ``zone`` using the high-voltage bus values.
+- Add function signature ``attr='v'`` to method ``Model.alter`` for altering parameter values without manual
+  per unit conversion
+- Add following methods to `GroupBase` for easier usage: ``get_all_idxes``, ``alter``, ``as_dict``, and ``as_df``
+- Add two demo "add_RenGen.ipynb" and "replace_SynGen.ipynb" to show how to do renewable penetration via code.
+  See folder ``andes/examples/demonstration``
+- Add a demo "manipulate_params.ipynb" to compare the differnce between ``set`` and ``alter``
+- Extend ``SynGen`` common parameters with ``bus``, ``gen``, ``Sn``, ``Vn``, and ``fn``
+- Extend ``StaticGen`` common parameters with ``bus``
 
 v1.9.2 (2024-03-25)
 -------------------