Source code for dragonfly_energy.opendss.transformer

# coding=utf-8
"""Electrical transformer in OpenDSS."""
from __future__ import division

from .._base import _GeometryBase
from .transformerprop import TransformerProperties

from ladybug_geometry.geometry2d.polygon import Polygon2D
from dragonfly.projection import polygon_to_lon_lat


[docs] class Transformer(_GeometryBase): """Represents a transformer in OpenDSS. Args: identifier: Text string for a unique electrical transformer 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. geometry: A Polygon2D representing the geometry of the electrical transformer. properties: A TransformerProperties object representing the properties of the electrical transformer. Properties: * identifier * display_name * geometry * properties * phase_count * nominal_voltage """ __slots__ = ('_properties',) def __init__(self, identifier, geometry, properties): """Initialize Transformer.""" _GeometryBase.__init__(self, identifier) # process the identifier assert isinstance(geometry, Polygon2D), 'Expected ladybug_geometry ' \ 'Polygon2D for Transformer geometry. Got {}'.format(type(geometry)) self._geometry = geometry self.properties = properties
[docs] @classmethod def from_dict(cls, data): """Initialize an Transformer from a dictionary. Args: data: A dictionary representation of an Transformer object. """ assert data['type'] == 'Transformer', 'Expected Transformer ' \ 'dictionary. Got {}.'.format(data['type']) props = TransformerProperties.from_dict(data['properties']) geo = Polygon2D.from_dict(data['geometry']) trans = cls(data['identifier'], geo, props) if 'display_name' in data and data['display_name'] is not None: trans.display_name = data['display_name'] return trans
[docs] @classmethod def from_dict_abridged(cls, data, properties): """Initialize a Transformer from an abridged dictionary. Args: data: A TransformerAbridged dictionary. properties: A dictionary with identifiers of TransformerProperties as keys and Python TransformerProperties objects as values. """ assert data['type'] == 'TransformerAbridged', \ 'Expected TransformerAbridged. Got {}.'.format(data['type']) try: props = properties[data['properties']] except KeyError as e: raise ValueError('Failed to find "{}" in properties.'.format(e)) geo = Polygon2D.from_dict(data['geometry']) trans = cls(data['identifier'], geo, props) if 'display_name' in data and data['display_name'] is not None: trans.display_name = data['display_name'] return trans
[docs] @classmethod def from_rnm_geojson_dict( cls, data, origin_lon_lat, conversion_factors): """Get a Transformer from a dictionary as it appears in an RNM GeoJSON. Args: data: A GeoJSON dictionary representation of an Transformer feature. origin_lon_lat: An array of two numbers in degrees. The first value represents the longitude of the scene origin in degrees (between -180 and +180). The second value represents latitude of the scene origin in degrees (between -90 and +90). Note that the "scene origin" is the (0, 0) coordinate in the 2D space of the input polygon. conversion_factors: A tuple with two values used to translate between meters and longitude, latitude. """ geo = cls._geojson_coordinates_to_polygon2d( data['geometry']['coordinates'], origin_lon_lat, conversion_factors) prop = data['properties'] kva_rating = 100 if 'Snom' not in prop else prop['Snom'] resis = 0.1 if 'LV_R(ohm)' not in prop else prop['LV_R(ohm)'] t_props = TransformerProperties( prop['Code'], kva_rating, resistance=resis, reactance=prop['Xsc(pu)'], phase_count=prop['Phases'], high_voltage=prop['Vnom1'], low_voltage=prop['Vnom2']) return cls(prop['Code'], geo, t_props)
@property def geometry(self): """Get a Polygon2D representing the transformer.""" return self._geometry @property def properties(self): """Get or set a TransformerProperties object for the transformer.""" return self._properties @properties.setter def properties(self, value): assert isinstance(value, TransformerProperties), \ 'Expected TransformerProperties object' \ ' for transformer properties. Got {}.'.format(type(value)) value.lock() self._properties = value @property def phase_count(self): """Get an integer for the number of phases this transformer supports.""" return self._properties.phase_count @property def nominal_voltage(self): """Get an integer for the higher voltage of this transformer.""" return self._properties.high_voltage
[docs] def to_dict(self, abridged=False): """Transformer dictionary representation. Args: abridged: Boolean to note whether the full dictionary describing the object should be returned (False) or just an abridged version (True), which only specifies the identifiers of properties. (Default: False). """ base = {'type': 'Transformer'} if not \ abridged else {'type': 'TransformerAbridged'} base['identifier'] = self.identifier base['geometry'] = self.geometry.to_dict() base['properties'] = self.properties.to_dict() if not abridged \ else self.properties.identifier if self._display_name is not None: base['display_name'] = self.display_name return base
[docs] def to_geojson_dict(self, origin_lon_lat, conversion_factors): """Get Transformer dictionary as it appears in an URBANopt geoJSON. Args: origin_lon_lat: An array of two numbers in degrees. The first value represents the longitude of the scene origin in degrees (between -180 and +180). The second value represents latitude of the scene origin in degrees (between -90 and +90). Note that the "scene origin" is the (0, 0) coordinate in the 2D space of the input polygon. conversion_factors: A tuple with two values used to translate between meters and longitude, latitude. """ pts = [(pt.x, pt.y) for pt in self.geometry.vertices] coords = [polygon_to_lon_lat(pts, origin_lon_lat, conversion_factors)] coords[0].append(coords[0][0]) base = { 'type': 'Feature', 'properties': { 'id': self.identifier, 'geometryType': 'Rectangle', 'name': self.display_name, 'type': 'District System', 'footprint_area': round(self.geometry.area, 1), 'footprint_perimeter': round(self.geometry.perimeter, 1), 'district_system_type': 'Transformer', 'electrical_catalog_name': self.properties.identifier }, 'geometry': { 'type': 'Polygon', 'coordinates': coords } } if self.properties.phase_count == 3: base['properties']['phases'] = ['A', 'B', 'C'] elif self.properties.phase_count == 1: base['properties']['phases'] = ['A'] return base
def __copy__(self): new_con = Transformer(self.identifier, self.geometry, self.properties) new_con._display_name = self._display_name return new_con def __repr__(self): return 'Transformer: {}'.format(self.display_name)