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calculate_criteria.py
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calculate_criteria.py
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from xlrd import *
from numpy import *
from pyomo.environ import *
from math import *
import pandas as pd
from copy import *
def update_pi(m, m1_h_up, m2_h, m1_h_down, m3_h, m3_h_up, m3_h_down,
k, h, pi, ro, load_in_bus_w, load_in_bus_g, load_in_bus_h, other_g, other_h):
###################################################################################################################
# __________ Electricity __________
###################################################################################################################
pi2_w_up = []
for i in range(0, len(load_in_bus_w)):
pi_temp_w_up = []
for t in range(0, h):
pi_temp_w_up.append(
pi['w_up'][i][t] + ro['ro'] * (m.P_dso_up[k, i, t].value - m1_h_up[t].P_dso_up[k, i, 0].value))
pi2_w_up.append(pi_temp_w_up)
pi['w_up'] = deepcopy(pi2_w_up)
pi2_w_down = []
for i in range(0, len(load_in_bus_w)):
pi_temp_w_down = []
for t in range(0, h):
pi_temp_w_down.append(
pi['w_down'][i][t] + ro['ro'] * (m.P_dso_down[k, i, t].value - m1_h_down[t].P_dso_down[k, i, 0].value))
pi2_w_down.append(pi_temp_w_down)
pi['w_down'] = deepcopy(pi2_w_down)
###################################################################################################################
# __________ Gas __________
###################################################################################################################
if other_g['b_network']:
pi2_g = []
for i in range(0, len(load_in_bus_g)):
pi_temp_g = []
for t in range(0, h):
pi_temp_g.append(
pi['g'][i][t] + ro['ro'] * (m.P_dso_gas[k, i, t].value - m2_h[t].P_dso_gas[i, 0].value))
pi2_g.append(pi_temp_g)
pi['g'] = deepcopy(pi2_g)
###################################################################################################################
# __________ Heat __________
###################################################################################################################
if other_h['b_network']:
pi2_h = []
for i in range(0, len(load_in_bus_h)):
pi_temp_h = []
for t in range(0, h):
pi_temp_h.append(
pi['h'][i][t] + ro['ro'] * (m.P_dso_heat[k, i, t].value - m3_h[t].P_dso_heat[i, 0].value))
pi2_h.append(pi_temp_h)
pi['h'] = deepcopy(pi2_h)
pi2_h_up = []
for i in range(0, len(load_in_bus_h)):
pi_temp_h_up = []
for t in range(0, h):
pi_temp_h_up.append(
pi['h_up'][i][t] + ro['ro'] * (m.P_dso_heat_up[k, i, t].value - m3_h_up[t].P_dso_heat_up[i, 0].value))
pi2_h_up.append(pi_temp_h_up)
pi['h_up'] = deepcopy(pi2_h_up)
pi2_h_down = []
for i in range(0, len(load_in_bus_h)):
pi_temp_h_down = []
for t in range(0, h):
pi_temp_h_down.append(
pi['h_down'][i][t] + ro['ro'] * (
m.P_dso_heat_down[k, i, t].value - m3_h_down[t].P_dso_heat_down[i, 0].value))
pi2_h_down.append(pi_temp_h_down)
pi['h_down'] = deepcopy(pi2_h_down)
return pi
def calculate_criteria(m, m1_h_up, m1_h_down, m2_h, m3_h, m3_h_up, m3_h_down, h, k, iter,
load_in_bus_w, load_in_bus_g, load_in_bus_h, ro,
P_dso_old_w_up, P_dso_old_w_down, P_dso_old_g, P_dso_old_h, P_dso_old_h_up, P_dso_old_h_down,
other_g, other_h):
###################################################################################################################
criteria = 0
criteria = criteria + sum(
sum((m.P_dso_up[k, i, t].value - m1_h_up[t].P_dso_up[k, i, 0].value) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_w)))
criteria = criteria + sum(
sum((m.P_dso_down[k, i, t].value - m1_h_down[t].P_dso_down[k, i, 0].value) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_w)))
###################################################################################################################
if other_g['b_network']:
criteria = criteria + sum(
sum((m.P_dso_gas[k, i, t].value - m2_h[t].P_dso_gas[i, 0].value) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_g)))
###################################################################################################################
if other_h['b_network']:
criteria = criteria + sum(
sum((m.P_dso_heat[k, i, t].value - m3_h[t].P_dso_heat[i, 0].value) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_h)))
criteria = criteria + sum(
sum((m.P_dso_heat_up[k, i, t].value - m3_h_up[t].P_dso_heat_up[i, 0].value) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_h)))
criteria = criteria + sum(
sum((m.P_dso_heat_down[k, i, t].value - m3_h_down[t].P_dso_heat_down[i, 0].value) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_h)))
###################################################################################################################
criteria = sqrt(criteria)
###################################################################################################################
###################################################################################################################
###################################################################################################################
###################################################################################################################
criteria_dual = 1
if iter >= 1:
aux_gas = 0
if other_g['b_network']:
aux_gas = sum(sum((ro['ro'] * (m2_h[t].P_dso_gas[i, 0].value - P_dso_old_g[t][i])) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_g)))
aux_heat = 0
if other_h['b_network']:
aux_heat = sum(sum((ro['ro'] * (m3_h[t].P_dso_heat[i, 0].value - P_dso_old_h[t][i])) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_h))) + \
sum(sum((ro['ro'] * (m3_h_up[t].P_dso_heat_up[i, 0].value - P_dso_old_h_up[t][i])) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_h))) + \
sum(sum(
(ro['ro'] * (m3_h_down[t].P_dso_heat_down[i, 0].value - P_dso_old_h_down[t][i])) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_h)))
criteria_dual = sqrt(
sum(sum((ro['ro'] * (m1_h_up[t].P_dso_up[k, i, 0].value - P_dso_old_w_up[t][i])) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_w))) + \
sum(sum((ro['ro'] * (m1_h_down[t].P_dso_down[k, i, 0].value - P_dso_old_w_down[t][i])) ** 2
for t in range(0, h)) for i in range(0, len(load_in_bus_w))) +
aux_gas +
aux_heat)
return criteria, criteria_dual