Source code for dragonfly_energy.opendss.network

# coding=utf-8
"""Electrical network in OpenDSS."""
import os
import uuid
import json

from ladybug_geometry.geometry2d import Point2D, Polygon2D
from ladybug.location import Location
from honeybee.typing import valid_ep_string
from honeybee.units import conversion_factor_to_meters
from dragonfly.projection import meters_to_long_lat_factors, \
    origin_long_lat_from_location

from .substation import Substation
from .transformer import Transformer
from .connector import ElectricalConnector
from .junction import ElectricalJunction
from .road import Road
from .transformerprop import TransformerProperties
from .powerline import PowerLine
from .wire import Wire
from .lib.powerlines import power_line_by_identifier


[docs]class ElectricalNetwork(object): """Represents an electrical network in OpenDSS. This includes a substation, transformers, and all electrical connectors needed to connect these objects to Dragonfly Buildings. Args: identifier: Text string for a unique electrical network ID. Must contain only characters that are acceptable in OpenDSS. This will be used to identify the object across the exported geoJSON and OpenDSS files. substation: A Substation object representing the electrical substation supplying the network with electricity. transformers: An array of Transformer objects that are included within the electrical network. Generally, there should always be a transformer somewhere between the substation and a given building. connectors: An array of ElectricalConnector objects that are included within the electrical network. In order for a given connector to be valid within the network, each end of the connector must touch either another connector or a building footprint/transformer/substation. In order for the network as a whole to be valid, all Buildings and Transformers must be connected back to the Substation via connectors. Properties: * identifier * display_name * substation * transformers * connectors * transformer_properties * power_lines * wires """ __slots__ = ('_identifier', '_display_name', '_substation', '_transformers', '_connectors') def __init__(self, identifier, substation, transformers, connectors): """Initialize ElectricalNetwork.""" self.identifier = identifier self._display_name = None self.substation = substation self.transformers = transformers self.connectors = connectors
[docs] @classmethod def from_dict(cls, data): """Initialize an ElectricalNetwork from a dictionary. Args: data: A dictionary representation of an ElectricalNetwork object. """ # check the type of dictionary assert data['type'] == 'ElectricalNetwork', 'Expected ElectricalNetwork ' \ 'dictionary. Got {}.'.format(data['type']) # re-serialize transformer properties and wires t_props = {tp['identifier']: TransformerProperties.from_dict(tp) for tp in data['transformer_properties']} wires = {w['identifier']: Wire.from_dict(w) for w in data['wires']} power_lines = {pl['identifier']: PowerLine.from_dict_abridged(pl, wires) for pl in data['power_lines']} # re-serialize geometry objects substation = Substation.from_dict(data['substation']) transformers = [Transformer.from_dict_abridged(trans, t_props) for trans in data['transformers']] conns = [ElectricalConnector.from_dict_abridged(c, power_lines) for c in data['connectors']] net = cls(data['identifier'], substation, transformers, conns) if 'display_name' in data and data['display_name'] is not None: net.display_name = data['display_name'] return net
[docs] @classmethod def from_rnm_geojson( cls, geojson_file_path, location=None, point=None, units='Meters'): """Get an ElectricalNetwork from a dictionary as it appears in an RNM GeoJSON. Args: geojson_file_path: Text for the full path to the geojson file to load as a ElectricalNetwork. location: An optional ladybug location object with longitude and latitude data defining the origin of the geojson file. If None, an attempt will be made to sense the location from the project point in the GeoJSON (if it exists). If nothing is found, the origin is autocalcualted as the bottom-left corner of the bounding box of all building footprints in the geojson file. (Default: None). point: A ladybug_geometry Point2D for where the location object exists within the space of a scene. The coordinates of this point are expected to be in the units input. If None, an attempt will be made to sense the CAD coordinates from the GeoJSON if they exist. If not found, they will default to (0, 0). units: Text for the units system in which the model geometry exists. Default: 'Meters'. Choose from the following: * Meters * Millimeters * Feet * Inches * Centimeters Note that this method assumes the point coordinates are in the same units. """ # parse the geoJSON into a dictionary with open(geojson_file_path, 'r') as fp: data = json.load(fp) # extract the CAD coordinates and location from the GeoJSON if they exist if 'project' in data: prd = data['project'] if 'latitude' in prd and 'longitude' in prd and location is None: location = Location(latitude=prd['latitude'], longitude=prd['longitude']) if 'cad_coordinates' in prd and point is None: point = Point2D(*prd['cad_coordinates']) if point is None: # just use the world origin if no point was found point = Point2D(0, 0) # Get the list of substation, transformer and electrical connector data transf_data, connector_data, subst_data = [], [], None for obj_data in data['features']: if 'type' in obj_data['properties']: if obj_data['properties']['type'] == 'Line': connector_data.append(obj_data) elif obj_data['properties']['type'] == 'DistribTransf': transf_data.append(obj_data) elif 'Substation' in obj_data['properties']['type']: subst_data = obj_data # if model units is not Meters, convert non-meter user inputs to meters scale_to_meters = conversion_factor_to_meters(units) if units != 'Meters': point = point.scale(scale_to_meters) # Get long and lat in the geojson that correspond to the model origin (point). # If location is None, derive coordinates from the geojson geometry. if location is None: point_lon_lat = cls._bottom_left_coordinate_from_geojson(connector_data) location = Location(longitude=point_lon_lat[0], latitude=point_lon_lat[1]) # The model point may not be at (0, 0), so shift the longitude and latitude to # get the equivalent point in longitude and latitude for (0, 0) in the model. origin_lon_lat = origin_long_lat_from_location(location, point) _convert_facs = meters_to_long_lat_factors(origin_lon_lat) convert_facs = 1 / _convert_facs[0], 1 / _convert_facs[1] # extract the connectors power_line_dict = { p['properties']['Equip']: power_line_by_identifier(p['properties']['Equip']) for p in connector_data } connectors = [] for con_data in connector_data: con_obj = ElectricalConnector.from_rnm_geojson_dict( con_data, origin_lon_lat, convert_facs, power_line_dict) connectors.append(con_obj) # extract the transformers transformers = [] for trn_data in transf_data: trn_obj = Transformer.from_rnm_geojson_dict( trn_data, origin_lon_lat, convert_facs) transformers.append(trn_obj) # extract the substation substation = Substation.from_rnm_geojson_dict( subst_data, origin_lon_lat, convert_facs) # create the network and adjust for the units base_name = os.path.basename(geojson_file_path) net_id = base_name.replace('.json', '').replace('.geojson', '') net = cls(net_id, substation, transformers, connectors) if units != 'Meters': net.convert_to_units(units) return net
@staticmethod def _bottom_left_coordinate_from_geojson(connector_data): """Calculate the bottom-left bounding box coordinate from geojson coordinates. Args: connector_data: a list of dictionaries containing geojson geometries that represent electrical connectors. Returns: The bottom-left most corner of the bounding box around the coordinates. """ xs, ys = [], [] for conn in connector_data: conn_coords = conn['geometry']['coordinates'] if conn['geometry']['type'] == 'LineString': for pt in conn_coords: xs.append(pt[0]) ys.append(pt[1]) return min(xs), min(ys) @property def identifier(self): """Get or set the text string for unique object identifier.""" return self._identifier @identifier.setter def identifier(self, identifier): self._identifier = valid_ep_string(identifier, 'identifier') @property def display_name(self): """Get or set a string for the object name without any character restrictions. If not set, this will be equal to the identifier. """ if self._display_name is None: return self._identifier return self._display_name @display_name.setter def display_name(self, value): try: self._display_name = str(value) except UnicodeEncodeError: # Python 2 machine lacking the character set self._display_name = value # keep it as unicode @property def substation(self): """Get or set a Substation object for the network's substation.""" return self._substation @substation.setter def substation(self, value): assert isinstance(value, Substation), \ 'Expected Substation for electrical network. Got {}.'.format(type(value)) self._substation = value @property def transformers(self): """Get or set the list of Transformer objects within the network.""" return self._transformers @transformers.setter def transformers(self, values): try: if not isinstance(values, tuple): values = tuple(values) except TypeError: raise TypeError('Expected list or tuple for electrical network ' 'transformers. Got {}'.format(type(values))) for t in values: assert isinstance(t, Transformer), 'Expected Transformer object' \ ' for electrical network transformers. Got {}.'.format(type(t)) self._transformers = values @property def connectors(self): """Get or set the list of ElectricalConnector objects within the network.""" return self._connectors @connectors.setter def connectors(self, values): try: if not isinstance(values, tuple): values = tuple(values) except TypeError: raise TypeError('Expected list or tuple for electrical network connectors. ' 'Got {}'.format(type(values))) for c in values: assert isinstance(c, ElectricalConnector), 'Expected ElectricalConnector ' \ 'object for electrical network connectors. Got {}.'.format(type(c)) assert len(values) > 0, 'ElectricalNetwork must possess at least one connector.' self._connectors = values @property def transformer_properties(self): """A list of all unique TransformerProperties in the network.""" t_props = [] for trans in self.transformers: if not self._instance_in_array(trans.properties, t_props): t_props.append(trans.properties) return list(set(t_props)) # catch duplicated/equivalent objects @property def power_lines(self): """A list of all unique PowerLines in the network.""" power_lines = [] for connector in self.connectors: if not self._instance_in_array(connector.power_line, power_lines): power_lines.append(connector.power_line) return list(set(power_lines)) # catch duplicated/equivalent objects @property def wires(self): """A list of all unique Wires in the network.""" wires = [] for p_line in self.power_lines: for wire in p_line.wires: if not self._instance_in_array(wire, wires): wires.append(wire) return list(set(wires)) # catch duplicated/equivalent objects
[docs] def junctions(self, tolerance=0.01): """Get a list of ElectricalJunction objects for the unique network junctions. The resulting ElectricalJunction objects will be associated with Transformers and Substations that they are in contact with across the network (within the tolerance). However, they won't have any building_identifier associated with them. The assign_junction_buildings method on this object can be used to associate the junctions with an array of Dragonfly Buildings. Args: tolerance: The minimum difference between the coordinate values of two faces at which they can be considered centered adjacent. (Default: 0.01, suitable for objects in meters). Returns: A tuple with two items. - junctions - A list of lists of the unique ElectricalJunction objects that exist across the network. - connector_junction_ids - A list of lists that align with the connectors in the network. Each sub-list contains two string values for the junction IDs for each of the start and end of each of the connectors. """ # loop through the connectors and find all unique junction objects junctions, connector_junction_ids = [], [] for connector in self.connectors: verts = connector.geometry.vertices end_pts, jct_ids = (verts[0], verts[-1]), [] for jct_pt in end_pts: for exist_jct in junctions: if jct_pt.is_equivalent(exist_jct.geometry, tolerance): jct_ids.append(exist_jct.identifier) break else: # we have found a new unique junction new_jct_id = str(uuid.uuid4()) junctions.append(ElectricalJunction(new_jct_id, jct_pt)) jct_ids.append(new_jct_id) connector_junction_ids.append(jct_ids) # loop through connectors and associate them with Transformers or the Substation all_ds_objs = self.transformers + (self.substation,) for jct in junctions: for ds_obj in all_ds_objs: if ds_obj.geometry.is_point_on_edge(jct.geometry, tolerance): jct.system_identifier = ds_obj.identifier break return junctions, connector_junction_ids
[docs] def move(self, moving_vec): """Move this object along a vector. Args: moving_vec: A ladybug_geometry Vector3D with the direction and distance to move the object. """ self._substation.move(moving_vec) for transformer in self.transformers: transformer.move(moving_vec) for connector in self.connectors: connector.move(moving_vec)
[docs] def rotate_xy(self, angle, origin): """Rotate this object counterclockwise in the XY plane by a certain angle. Args: angle: An angle in degrees. origin: A ladybug_geometry Point3D for the origin around which the object will be rotated. """ self._substation.rotate_xy(angle, origin) for transformer in self.transformers: transformer.rotate_xy(angle, origin) for connector in self.connectors: connector.rotate_xy(angle, origin)
[docs] def reflect(self, plane): """Reflect this object across a plane. Args: plane: A ladybug_geometry Plane across which the object will be reflected. """ self._substation.reflect(plane) for transformer in self.transformers: transformer.reflect(plane) for connector in self.connectors: connector.reflect(plane)
[docs] def scale(self, factor, origin=None): """Scale this object by a factor from an origin point. Args: factor: A number representing how much the object should be scaled. origin: A ladybug_geometry Point3D representing the origin from which to scale. If None, it will be scaled from the World origin (0, 0, 0). """ self._substation.scale(factor, origin) for transformer in self.transformers: transformer.scale(factor, origin) for connector in self.connectors: connector.scale(factor, origin)
[docs] def convert_to_units(self, units='Meters', starting_units='Meters'): """Convert all of the geometry in this ElectricalNetwork to certain units. Args: units: Text for the units to which the Model geometry should be converted. (Default: Meters). Choose from the following: * Meters * Millimeters * Feet * Inches * Centimeters starting_units: The starting units system of the network. (Default: Meters). """ if starting_units != units: scale_fac1 = conversion_factor_to_meters(starting_units) scale_fac2 = conversion_factor_to_meters(units) scale_fac = scale_fac1 / scale_fac2 self.scale(scale_fac)
[docs] def to_dict(self): """ElectricalNetwork dictionary representation.""" base = {'type': 'ElectricalNetwork'} base['identifier'] = self.identifier base['substation'] = self.substation.to_dict() base['transformers'] = [trans.to_dict(True) for trans in self.transformers] base['connectors'] = [c.to_dict(True) for c in self.connectors] base['transformer_properties'] = \ [tp.to_dict() for tp in self.transformer_properties] base['power_lines'] = [pl.to_dict(True) for pl in self.power_lines] base['wires'] = [w.to_dict() for w in self.wires] if self._display_name is not None: base['display_name'] = self.display_name return base
[docs] def to_geojson_dict(self, buildings, location, point=Point2D(0, 0), tolerance=0.01): """Get ElectricalNetwork dictionary as it appears in an URBANopt geoJSON. The resulting dictionary array can be directly appended to the "features" key of a base geoJSON dict in order to represent the network in the geoJSON. Note that, in order to successfully run OpenDSS, you will also have to write an electrical_database.json from this ElectricalNetwork using the to_electrical_database_dict method. Args: buildings: An array of Dragonfly Building objects in the same units system as the ElectricalNetwork geometry. location: A ladybug Location object possessing longitude and latitude data. point: A ladybug_geometry Point2D for where the location object exists within the space of a scene. The coordinates of this point are expected to be in the units of this Model. (Default: (0, 0)). tolerance: The minimum difference between the coordinate values of two geometries at which they are considered co-located. (Default: 0.01, suitable for objects in meters). """ # get the conversion factors over to (longitude, latitude) origin_lon_lat = origin_long_lat_from_location(location, point) convert_facs = meters_to_long_lat_factors(origin_lon_lat) # translate substation and transformers into the geoJSON features list features_list = [self.substation.to_geojson_dict(origin_lon_lat, convert_facs)] for trans in self.transformers: features_list.append(trans.to_geojson_dict(origin_lon_lat, convert_facs)) # translate connectors and junctions into the geoJSON features list junctions, connector_jct_ids = self.junctions(tolerance) for conn, jct_ids in zip(self.connectors, connector_jct_ids): conn_dict = conn.to_geojson_dict( jct_ids[0], jct_ids[1], origin_lon_lat, convert_facs) features_list.append(conn_dict) final_junctions = self.assign_junction_buildings(junctions, buildings, tolerance) for jct in final_junctions: features_list.append(jct.to_geojson_dict(origin_lon_lat, convert_facs)) return features_list
[docs] def to_electrical_database_dict(self): """Get ElectricalNetwork as it should appear in the electrical_database.json.""" catalog_json = os.path.join( os.path.dirname(__file__), 'lib', 'extended_catalog.json') with open(catalog_json) as inf: base = json.load(inf) base['SUBSTATIONS AND DISTRIBUTION TRANSFORMERS'] = [ { '#Interurban:': [tp.to_electrical_database_dict() for tp in self.transformer_properties] } ] base['LINES'][1]['#Interurban Zone A:'] = \ [pl.to_electrical_database_dict() for pl in self.power_lines] base['WIRES']['WIRES CATALOG'] = \ [wire.to_electrical_database_dict() for wire in self.wires] return base
[docs] def duplicate(self): """Get a copy of this object.""" return self.__copy__()
[docs] @staticmethod def assign_junction_buildings(junctions, buildings, tolerance=0.01): """Assign building_identifiers to a list of junctions using dragonfly Buildings. Junctions will be assigned to a given Building if they are touching the footprint of that building in 2D space. Args: junctions: An array of ElectricalJunction objects to be associated with Dragonfly Buildings. buildings: An array of Dragonfly Building objects in the same units system as the ElectricalNetwork geometry. tolerance: The minimum difference between the coordinate values of two geometries at which they are considered co-located. (Default: 0.01, suitable for objects in meters). """ # get the footprints of the Buildings in 2D space footprint_2d, bldg_ids = [], [] for bldg in buildings: footprint = bldg.footprint(tolerance) for face3d in footprint: pts_2d = [Point2D(pt.x, pt.y) for pt in face3d.vertices] footprint_2d.append(Polygon2D(pts_2d)) bldg_ids.append(bldg.identifier) # loop through connectors and associate them with the Buildings for jct in junctions: for bldg_poly, bldg_id in zip(footprint_2d, bldg_ids): if bldg_poly.is_point_on_edge(jct.geometry, tolerance): jct.building_identifier = bldg_id break return junctions
@staticmethod def _instance_in_array(object_instance, object_array): """Check if a specific object instance is already in an array. This can be much faster than `if object_instance in object_array` when you expect to be testing a lot of the same instance of an object for inclusion in an array since the builtin method uses an == operator to test inclusion. """ for val in object_array: if val is object_instance: return True return False def __copy__(self): new_net = ElectricalNetwork( self.identifier, self.substation.duplicate(), tuple(trans.duplicate() for trans in self.transformers), tuple(conn.duplicate() for conn in self.connectors)) new_net._display_name = self._display_name return new_net
[docs] def ToString(self): return self.__repr__()
def __repr__(self): return 'ElectricalNetwork: {}'.format(self.display_name)
[docs]class RoadNetwork(object): """Represents a road network for RNM input. This includes a substation and roads that will be used to lay out the road network. Args: identifier: Text string for a unique road network ID. Must contain only characters that are acceptable in RNM nad OpenDSS. This will be used to identify the object across the exported geoJSON RNM, and OpenDSS files. substation: A Substation object representing the road substation supplying the network with electricity. roads: An array of Road objects that are included within the road network. Properties: * identifier * display_name * substation * roads """ __slots__ = ('_identifier', '_display_name', '_substation', '_roads') def __init__(self, identifier, substation, roads): """Initialize RoadNetwork.""" self.identifier = identifier self._display_name = None self.substation = substation self.roads = roads
[docs] @classmethod def from_dict(cls, data): """Initialize an RoadNetwork from a dictionary. Args: data: A dictionary representation of an RoadNetwork object. """ # check the type of dictionary assert data['type'] == 'RoadNetwork', 'Expected RoadNetwork ' \ 'dictionary. Got {}.'.format(data['type']) # re-serialize geometry objects substation = Substation.from_dict(data['substation']) roads = [Road.from_dict(r) for r in data['roads']] net = cls(data['identifier'], substation, roads) if 'display_name' in data and data['display_name'] is not None: net.display_name = data['display_name'] return net
@property def identifier(self): """Get or set the text string for unique object identifier.""" return self._identifier @identifier.setter def identifier(self, identifier): self._identifier = valid_ep_string(identifier, 'identifier') @property def display_name(self): """Get or set a string for the object name without any character restrictions. If not set, this will be equal to the identifier. """ if self._display_name is None: return self._identifier return self._display_name @display_name.setter def display_name(self, value): try: self._display_name = str(value) except UnicodeEncodeError: # Python 2 machine lacking the character set self._display_name = value # keep it as unicode @property def substation(self): """Get or set a Substation object for the network's substation.""" return self._substation @substation.setter def substation(self, value): assert isinstance(value, Substation), \ 'Expected Substation for road network. Got {}.'.format(type(value)) self._substation = value @property def roads(self): """Get or set the list of Road objects within the network.""" return self._roads @roads.setter def roads(self, values): try: if not isinstance(values, tuple): values = tuple(values) except TypeError: raise TypeError('Expected list or tuple of roads. ' 'Got {}'.format(type(values))) for r in values: assert isinstance(r, Road), 'Expected Road ' \ 'object for road network. Got {}.'.format(type(r)) assert len(values) > 0, 'RoadNetwork must possess at least one road.' self._roads = values
[docs] def move(self, moving_vec): """Move this object along a vector. Args: moving_vec: A ladybug_geometry Vector3D with the direction and distance to move the object. """ self._substation.move(moving_vec) for road in self.roads: road.move(moving_vec)
[docs] def rotate_xy(self, angle, origin): """Rotate this object counterclockwise in the XY plane by a certain angle. Args: angle: An angle in degrees. origin: A ladybug_geometry Point3D for the origin around which the object will be rotated. """ self._substation.rotate_xy(angle, origin) for road in self.roads: road.rotate_xy(angle, origin)
[docs] def reflect(self, plane): """Reflect this object across a plane. Args: plane: A ladybug_geometry Plane across which the object will be reflected. """ self._substation.reflect(plane) for road in self.roads: road.reflect(plane)
[docs] def scale(self, factor, origin=None): """Scale this object by a factor from an origin point. Args: factor: A number representing how much the object should be scaled. origin: A ladybug_geometry Point3D representing the origin from which to scale. If None, it will be scaled from the World origin (0, 0, 0). """ self._substation.scale(factor, origin) for road in self.roads: road.scale(factor, origin)
[docs] def to_dict(self): """RoadNetwork dictionary representation.""" base = {'type': 'RoadNetwork'} base['identifier'] = self.identifier base['substation'] = self.substation.to_dict() base['roads'] = [r.to_dict() for r in self.roads] if self._display_name is not None: base['display_name'] = self.display_name return base
[docs] def to_geojson_dict(self, location, point=Point2D(0, 0)): """Get RoadNetwork dictionary as it appears in an URBANopt geoJSON. The resulting dictionary array can be directly appended to the "features" key of a base geoJSON dict in order to represent the network in the geoJSON. Args: location: A ladybug Location object possessing longitude and latitude data. point: A ladybug_geometry Point2D for where the location object exists within the space of a scene. The coordinates of this point are expected to be in the units of this Model. (Default: (0, 0)). """ # get the conversion factors over to (longitude, latitude) origin_lon_lat = origin_long_lat_from_location(location, point) convert_facs = meters_to_long_lat_factors(origin_lon_lat) # translate substation and transformers into the geoJSON features list features_list = [self.substation.to_geojson_dict(origin_lon_lat, convert_facs)] for road in self.roads: features_list.append(road.to_geojson_dict(origin_lon_lat, convert_facs)) return features_list
[docs] def duplicate(self): """Get a copy of this object.""" return self.__copy__()
def __copy__(self): new_net = RoadNetwork( self.identifier, self.substation.duplicate(), tuple(r.duplicate() for r in self.roads)) new_net._display_name = self._display_name return new_net
[docs] def ToString(self): return self.__repr__()
def __repr__(self): return 'RoadNetwork: {}'.format(self.display_name)