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pds.py
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pds.py
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import os
import pandas as pd
import numpy as np
import yaml
import utils
class PDS:
def __init__(self, data_folder: str):
"""
The units of the input data files:
bus Vmin_pu: pu
bus Vmax_pu: pu
lines r_ohm: ohm
lines x_ohm: ohm
active_dem: all kW
reactive_dem: all kW
tariffs: all S/kWh
generators min_gen_kw: kW
generators max_gen_kw: kW
generators a: $/(kW^2)h
generators b: $/kWh
generators c: $
batteries min_storage_kwh kWh
batteries max_storage_kwh kWh
batteries max_power_kw kW
batteries init_storage_kwh kWh
batteries final_storage kWh
"""
self.data_folder = data_folder
self.bus = pd.read_csv(os.path.join(self.data_folder, 'bus.csv'), index_col=0)
self.lines = pd.read_csv(os.path.join(self.data_folder, 'lines.csv'), index_col=0)
self.psh = pd.read_csv(os.path.join(self.data_folder, 'psh.csv'), index_col=0)
self.dem_active = pd.read_csv(os.path.join(self.data_folder, 'dem_active_power.csv'), index_col=0) # kW
self.dem_reactive = pd.read_csv(os.path.join(self.data_folder, 'dem_reactive_power.csv'), index_col=0) # kW
self.tariffs = pd.read_csv(os.path.join(self.data_folder, 'tariffs.csv'), index_col=0)
self.generators = pd.read_csv(os.path.join(self.data_folder, 'generators.csv'), index_col=0)
self.batteries = pd.read_csv(os.path.join(self.data_folder, 'batteries.csv'), index_col=0)
self.max_gen_profile = pd.read_csv(os.path.join(self.data_folder, 'max_gen_profile.csv'), index_col=0) # MW
self.pumps_bus = pd.read_csv(os.path.join(self.data_folder, 'pumps_bus.csv'), index_col=0).fillna(0)
try:
# optional input
self.bus_criticality = pd.read_csv(os.path.join(self.data_folder, 'criticality.csv'), index_col=0)
except FileNotFoundError:
self.bus_criticality = None
# read other parameters
with open(os.path.join(self.data_folder, 'params.yaml'), 'r') as f:
params = yaml.safe_load(f)
self.__dict__.update(params)
# counting
self.n_bus = len(self.bus)
self.n_lines = len(self.lines)
self.n_psh = len(self.psh)
self.n_generators = len(self.generators)
self.n_batteries = len(self.batteries)
self.factorize_demands(active_factor=self.active_demand_factor, reactive_factor=self.reactive_demand_factor)
self.gen_mat = utils.get_mat_for_type(self.bus, self.generators)
self.bat_mat = utils.get_mat_for_type(self.bus, self.batteries)
self.construct_generators_params()
self.construct_batteries_params()
# unit conversion in the end of the initiation
self.pu_to_kw, self.pu_to_kv = self.convert_to_pu()
def factorize_demands(self, active_factor=1, reactive_factor=1):
self.dem_active *= active_factor
self.dem_reactive *= reactive_factor
def convert_to_pu(self):
"""
Function for converting input data to PU (dimensionless per unit)
The conversion is done by remove all magnitude units (Kilo, Mega etc.) and divide by base values
base voltage and base power - defined in the input params.yaml file
return:
values to inverse conversion back to physical units
pu_to_kw, pu_to_kv
"""
z = ((self.nominal_voltage_kv * 1000) ** 2) / (self.power_base_mva * 10 ** 6)
self.lines['r_pu'] = self.lines['r_ohm'] / z
self.lines['x_pu'] = self.lines['x_ohm'] / z
self.dem_active = (self.dem_active * 1000) / (self.power_base_mva * 10 ** 6)
self.dem_reactive = (self.dem_reactive * 1000) / (self.power_base_mva * 10 ** 6)
self.bus['max_gen_kw'] = (self.bus['max_gen_kw'] * 1000) / (self.power_base_mva * 10 ** 6)
self.bus['min_gen_kw'] = (self.bus['min_gen_kw'] * 1000) / (self.power_base_mva * 10 ** 6)
self.bus['min_storage'] = (self.bus['min_storage'] * 1000) / (self.power_base_mva * 10 ** 6)
self.bus['max_storage'] = (self.bus['max_storage'] * 1000) / (self.power_base_mva * 10 ** 6)
self.bus['max_power'] = (self.bus['max_power'] * 1000) / (self.power_base_mva * 10 ** 6)
self.bus['init_storage'] = (self.bus['init_storage'] * 1000) / (self.power_base_mva * 10 ** 6)
self.bus['final_storage'] = (self.bus['final_storage'] * 1000) / (self.power_base_mva * 10 ** 6)
return self.power_base_mva * 10 ** 6 / 1000, z ** (-1)
def get_bus_lines(self, bus_id):
return self.lines.loc[(self.lines['from_bus'] == bus_id) | (self.lines['to_bus'] == bus_id)]
def get_connectivity_mat(self, param=''):
mat = np.zeros((self.n_bus, self.n_bus))
start_indices = np.searchsorted(self.bus.index, self.lines.loc[:, 'from_bus'])
end_indices = np.searchsorted(self.bus.index, self.lines.loc[:, 'to_bus'])
if param:
mat_values = self.lines[param]
else:
mat_values = 1
mat[start_indices, end_indices] = mat_values
return mat
def construct_bus_pumps_mat(self):
mat = np.zeros((len(self.bus), int(self.bus['pump_id'].max() + 1)))
# Get row and column indices where the bus are connected to pumps (pump_id col is not Nan)
row_indices = self.bus.index[~self.bus['pump_id'].isna()].to_numpy()
col_indices = self.bus['pump_id'].dropna().astype(int).to_numpy()
# Use row and column indices to set corresponding elements in the matrix to 1
mat[row_indices, col_indices] = 1
return mat
def construct_generators_params(self):
self.bus = pd.merge(self.bus, self.generators, left_index=True, right_index=True, how='outer')
self.bus[['a', 'b', 'c']] = self.bus[['a', 'b', 'c']].fillna(0)
self.bus['min_gen_kw'] = self.bus[['min_gen_kw']].fillna(0)
self.bus['max_gen_kw'] = self.bus[['max_gen_kw']].fillna(0)
def construct_batteries_params(self):
self.bus = pd.merge(self.bus, self.batteries, left_index=True, right_index=True, how='outer')
self.bus[self.batteries.columns] = self.bus[self.batteries.columns].fillna(0)