Version 2.0

mct/makeMCT.py

@@ -10,23 +10,48 @@ from pandas import read_excel
 
 # Se definen las líneas que componenn las interconexiones entre las areas de
 # control
-#__GUAHON = ['1710-3190-1']
-__GUA = ['1126-29162-1', '1124-29161-1','1710-3190-1']
-__ES = ['1126-29162-1', '1124-29161-1','28181-29181-1', '28181-29182-2']
-#__ESAHON = ['28181-29181-1', '28181-29182-2']
-__HON = ['1710-3190-1', '28181-29181-1', '28181-29182-2','3301-4411-1','3310-4407-1']
+__GUAHON = ['1710-3190-1']
+__GUAELS =['1126-29162-1', '1124-29161-1']
+__ELSHON = ['28181-29181-1', '28181-29182-2']
 __HONNIC = ['3301-4411-1', '3310-4407-1']
-__NICCRC = ['4412-50050-1', '4408-50000-1']
-__CRCPAN = ['6500-56050-1', '6400-58350-1', '6000-56050-1']
+__NICCRI = ['4406-4412-1', '4750-4408-1']
+__CRIPAN = ['6500-56050-1', '6400-58350-1', '6000-56050-1']
 
-__INTER = {#'GUAHON': __GUAHON,
-           'GUA': __GUA,
-           #'ESAHON': __ESAHON,
-           'ES': __ES,
-           'HON': __HON,
+#__ELSHON_IND_28181_29182=['28181-29181-1', '28181-29182-2']
+#__IMP_TOT_ELSIND28181_29182=['28181-29181-1', '28181-29182-2']
+#__IMP_TOT_HONIND28181_29182=['28181-29181-1', '28181-29182-2']
+
+__EXP_TOT_GUA_NS = []
+__IMP_TOT_SAL = []
+__IMP_TOT_HON = []
+__IMP_TOT_NIC =[]
+__IMP_TOT_CRI =[]
+__IMP_TOT_PAN = []
+
+
+#__CRIPAN_IND_56050_6000=['6500-56050-1', '6400-58350-1', '6000-56050-1']
+#__IMP_TOT_CRIIND_56050_6000=['6500-56050-1', '6400-58350-1', '6000-56050-1']
+#__IMP_TOT_PANIND_56050_6000=['6500-56050-1', '6400-58350-1', '6000-56050-1']
+
+
+__INTER = {'GUAHON': __GUAHON,
+           'GUAELS':__GUAELS,
+           'ELSHON': __ELSHON,
+           #'ELSHON_IND_28181_29182': __ELSHON_IND_28181_29182,
+           #'IMP_TOT_ELSIND28181_29182': __IMP_TOT_ELSIND28181_29182,
+           #'IMP_TOT_HONIND28181_29182':__IMP_TOT_HONIND28181_29182,
+           #'CRIPAN_IND_56050_6000':__CRIPAN_IND_56050_6000,
+           #'IMP_TOT_CRIIND_56050_6000':__IMP_TOT_CRIIND_56050_6000,
+           #'IMP_TOT_PANIND_56050_6000':__IMP_TOT_PANIND_56050_6000,
            'HONNIC': __HONNIC,
-           'NICCRC': __NICCRC,
-           'CRCPAN': __CRCPAN}
+           'NICCRI': __NICCRI,
+           'CRIPAN': __CRIPAN,
+           'EXP_TOT_GUA_NS': __EXP_TOT_GUA_NS,
+           'IMP_TOT_SAL': __IMP_TOT_SAL,
+           'IMP_TOT_HON': __IMP_TOT_HON,
+           'IMP_TOT_NIC': __IMP_TOT_NIC,
+           'IMP_TOT_CRI': __IMP_TOT_CRI,
+           'IMP_TOT_PAN': __IMP_TOT_PAN}
 
 
 def linmct(brnames):
@@ -38,9 +63,12 @@ def linmct(brnames):
     for item in __INTER:
         lmct[item] = []
         for i in __INTER[item]:
-            l = int(argwhere(brnames == i))
-            lmct[item].append(l)
-    
+            try:
+
+                l = int(argwhere(brnames == i))
+                lmct[item].append(l)
+            except Exception:
+                0
     return lmct
 
 
@@ -48,7 +76,7 @@ def readmct(file):
     """Lee la información de Máximas Capacidades de Trasnferencia del archivo
     Excel del caso a resolver.
     """
-    mct = read_excel(file, 'mct', index_col=[0,1,2])
+    mct = read_excel(file, 'mct', index_col=[1,2,3])
     
     return mct
 
@@ -64,9 +92,21 @@ def set_dir_flujo():
     d = {}
     
     for key in __INTER.keys():
-        if key == 'CRCPAN':
+        if key == 'CRIPAN':
             d[key] = -1
-        elif key == 'HON':
+        elif key == 'IMP_TOT_HON':
+           d[key] = -1
+        elif key == 'IMP_TOT_PAN':
+           d[key] = -1
+        elif key == 'EXP_TOT_GUA_NS':
+           d[key] = -1
+        elif key == 'IMP_TOT_HONIND28181_29182':
+           d[key] = -1
+        elif key == 'CRIPAN_IND_56050_6000':
+           d[key] = -1
+        elif key == 'IMP_TOT_CRIIND_56050_6000':
+           d[key] = -1
+        elif key == 'IMP_TOT_PANIND_56050_6000':
            d[key] = -1
         else:
             d[key] = 1

presdespacho.py

@@ -5,6 +5,7 @@ import logging
 import traceback
 from os import path
 import sys
+import pandas as pd
 
 import pyutilib.subprocess.GlobalData
 from numpy import array, zeros
@@ -16,6 +17,7 @@ from pyomo.kernel import value
 from common.data import APPDIRS
 
 from mct.makeMCT import linmct, readmct, set_dir_flujo
+from red.orderC import nodec
 from red.create import *
 from red.create1 import *
 from red.makeBdc import makeBdc
@@ -53,22 +55,7 @@ def setmodel(file, p_exec, all_day=True):
     # Parametros de la linea
     logger.info("Inicio Predespacho Regional")
     logger.info("Leyendo información de RTR...")
-    net = excel2net(file)
-    bus = setbus(net)  # Nodos
-    branch = setbranch(net, bus)  # Set lineas
-    bu = branch[:, 5]  # potenica max de la linea
-    bl = branch[:, 6]  # potenica min de la linea
-    xc = branch[:, 3]  # Reactancia de la linea
-    rc = branch[:, 4]  # Resistencia de la linea
-    nb = bus.shape[0]  # Numero de nodos
-    nbr = branch.shape[0]  # Numero de lineas
-    A = makeBdc(bus, branch)  # Matriz incidente
-    brnames = branchnames(bus, branch)  # Nombre de las lineas
-    inc = A.toarray()*-1
-
-    # Lineas para límites de MCT
-    br_t = brnames['Total'].to_numpy()
-    lin_mct = linmct(br_t)
+    net_t = excel2net(file)
     dirf = set_dir_flujo()
     mct = readmct(file)
 
@@ -89,12 +76,30 @@ def setmodel(file, p_exec, all_day=True):
     result_foo_r_t = DataFrame()
     result_fof_t = DataFrame()
     result_foff_t = DataFrame()
-    foo_ret_iny_t = DataFrame()
 
     # El range del for se modifica dependiendo los periodos que se quieren correr.
     for PERIODO in range(min, max):
         logger.info("Inicio de la ejecución para el periodo {}".format(PERIODO))
 
+        net=net_t[net_t.periodo.isin([PERIODO])].copy()
+        net.reset_index(drop=True, inplace=True)
+        net.drop(['periodo'], axis='columns', inplace=True)
+        bus = setbus(net)#Nodos
+        branch = setbranch(net, bus)#Set lineas
+        bu = branch[:, 5]#potenica max de la linea
+        bl = branch[:, 6]#potenica min de la linea
+        xc = branch[:,3]#Reactancia de la linea
+        rc = branch[:,4]#Resistencia de la linea
+        nb = bus.shape[0] #Numero de nodos
+        nbr = branch.shape[0]#Numero de lineas
+        A = makeBdc(bus, branch)#Matriz incidente
+        brnames = branchnames(bus, branch)#Nombre de las lineas
+        inc = A.toarray()*-1
+
+        # Lineas para límites de MCT
+        br_t = brnames['Total'].to_numpy()
+        lin_mct = linmct(br_t)
+
         logger.info("Leyendo información de los despacho nacionales.")
         # Dependiendo de los valores de la columna periodo del df son los valores que toma
         dg = dg_t[dg_t.periodo.isin([PERIODO])]
@@ -311,8 +316,7 @@ def setmodel(file, p_exec, all_day=True):
 
         # Máximas Capacidades de Trasferencia
         # Maxima transferenica(interconexion,sentido,periodo)
-        model.Mct = Param(model.inter, model.sen, model.per,
-                          initialize=mct.mct.to_dict())
+        model.Mct = Param(model.per, model.inter, model.sen,  initialize=mct.MCT.to_dict(), default=300, mutable=True)
         model.DirF = Param(model.inter, initialize=dirf)
 
         logger.info("Ecuación de Función Objetivo Max.")
@@ -473,187 +477,205 @@ def setmodel(file, p_exec, all_day=True):
 
         # Máximas capacidades de trasferencia entre áreas de control
         def eq_mct_ns_rule(model, inter):
-            if inter == 'ES':  # Maxima exportacion de El Salvador
-                return (-(model.DirF[inter]*model.rtmw_c[lin_mct[inter][0]]+model.DirF[inter]*model.rtmw_c[lin_mct[inter][1]]) +
-                        (model.DirF[inter]*model.rtmw_c[lin_mct[inter][2]]+model.DirF[inter]*model.rtmw_c[lin_mct[inter][3]])) <= model.Mct[inter, 'ns', PERIODO] + 0.001
-            elif inter == 'HON':  # Maxima importacion de Honduras
-                return (-(model.DirF[inter]*model.rtmw_c[lin_mct[inter][0]]+model.DirF[inter]*model.rtmw_c[lin_mct[inter][1]] +
-                          model.DirF[inter]*model.rtmw_c[lin_mct[inter][2]]) + (model.DirF[inter]*model.rtmw_c[lin_mct[inter][3]] +
-                                                                                model.DirF[inter]*model.rtmw_c[lin_mct[inter][4]])) <= model.Mct[inter, 'sn', PERIODO] + 0.001
+            if inter=='IMP_TOT_SAL':#Maxima exportacion de El Salvador
+                return ((sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['ELSHON']))-
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['GUAELS']))) <= model.Mct[PERIODO, inter, 'ns']
+            
+            elif inter=='EXP_TOT_GUA_NS':
+                return ((sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['GUAHON'])) +
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['GUAELS']))) <= model.Mct[PERIODO, inter, 'ns'] 
+
+            elif inter=='IMP_TOT_HON':#Maxima importacion de Honduras
+                return (-(sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['ELSHON'])) -
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['GUAHON'])) + 
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['HONNIC']))) <= model.Mct[PERIODO, inter, 'sn'] 
+            
+            elif inter=='IMP_TOT_NIC':#Maxima exportacion de Nicaragua
+                return ((sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['NICCRI'])) -
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['HONNIC']))) <= model.Mct[PERIODO, inter, 'ns']
+
+            elif inter=='IMP_TOT_CRI':#Maxima exportacion de Costa Rica
+                return ((sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['NICCRI'])) +
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['CRIPAN']))) <= model.Mct[PERIODO, inter, 'ns'] 
+            
+            elif inter=='IMP_TOT_PAN':
+                return sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['CRIPAN']) <= model.Mct[PERIODO, inter, 'ns'] 
+
             else:
-                return sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct[inter]) <= model.Mct[inter, 'ns', PERIODO] + 0.001
+                return (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct[inter]))  <= model.Mct[PERIODO, inter, 'ns'] 
         model.eq_mct_ns = Constraint(model.inter, rule=eq_mct_ns_rule)
 
         def eq_mct_sn_rule(model, inter):
-            if inter == 'ES':  # Maxima importacion de El Salvador
-                return (-(model.DirF[inter]*model.rtmw_c[lin_mct[inter][0]]+model.DirF[inter]*model.rtmw_c[lin_mct[inter][1]]) +
-                        (model.DirF[inter]*model.rtmw_c[lin_mct[inter][2]]+model.DirF[inter]*model.rtmw_c[lin_mct[inter][3]])) >= -model.Mct[inter, 'sn', PERIODO] + 0.00001
-            elif inter == 'HON':  # Maxima importacion de Honduras
-                return (-(model.DirF[inter]*model.rtmw_c[lin_mct[inter][0]]+model.DirF[inter]*model.rtmw_c[lin_mct[inter][1]] +
-                          model.DirF[inter]*model.rtmw_c[lin_mct[inter][2]]) + (model.DirF[inter]*model.rtmw_c[lin_mct[inter][3]] +
-                                                                                model.DirF[inter]*model.rtmw_c[lin_mct[inter][4]])) >= -model.Mct[inter, 'ns', PERIODO] + 0.00001
+            if inter=='IMP_TOT_SAL':#Maxima importacion de El Salvador
+                return ((sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['ELSHON'])) -
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['GUAELS'])))  >= -model.Mct[PERIODO, inter, 'sn'] 
+            
+            elif inter=='EXP_TOT_GUA_NS':
+                return ((sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['GUAHON'])) +
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['GUAELS']))) >= -model.Mct[PERIODO, inter, 'sn'] 
+            
+            elif inter=='IMP_TOT_HON':#Maxima importacion de Honduras
+                return (-((sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['ELSHON'])) +
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['GUAHON']))) + 
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['HONNIC']))) >= -model.Mct[PERIODO, inter, 'ns'] 
+            
+            elif inter=='IMP_TOT_NIC':#Maxima exportacion de Nicaragua
+                return ((sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['NICCRI'])) -
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['HONNIC']))) >= -model.Mct[PERIODO, inter, 'sn'] 
+
+            elif inter=='IMP_TOT_CRI':#Maxima exportacion de Costa Rica
+                return ((sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['NICCRI'])) +
+                (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['CRIPAN'])))>= -model.Mct[PERIODO, inter, 'sn'] 
+            
+            elif inter=='IMP_TOT_PAN':
+                return sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct['CRIPAN'])  >= -model.Mct[PERIODO, inter, 'sn'] 
+
             else:
-                return sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct[inter]) >= -model.Mct[inter, 'sn', PERIODO] + 0.00001
+                return (sum(model.DirF[inter]*model.rtmw_c[c] for c in lin_mct[inter])) >= -model.Mct[PERIODO, inter, 'sn'] 
         model.eq_mct_sn = Constraint(model.inter, rule=eq_mct_sn_rule)
 
         model.dual = Suffix(direction=Suffix.IMPORT)
 
-        logger.info("Construcción del modelo terminada.")
-
-        ########################################### ORIGINAL #########
-        # opt = SolverFactory('ipopt')
-        # # opt.options['max_iter']= 10000
-        # result = opt.solve(model)
-        # model.solutions.store_to(result)
-
-        ############################################ MODIFICADO POR OSCAR ############
-
-        filename = path.basename(file).split('.')[0]
-        filepath = path.dirname(file)
-
-        try:
+        print("Construcción del modelo terminada. Periodo: "+str(PERIODO))
 
-            opt = SolverFactory('ipopt')  # TODO
-
-            logger.info(
-                "Inicio de la optimización para el periodo {}...".format(p_exec))
-
-            result = opt.solve(
-                model, logfile=f'log/solver_{filename}_{p_exec}.log', tee=True)
-
-            model.solutions.store_to(result)
-
-            result.write(
-                filename=f"{APPDIRS['DATA']}/results_{filename}_periodo_{p_exec}.json",
-                format='json')
-            logger.info(
-                "Solucion encontrada para el periodo{}...".format(p_exec))
-
-        except Exception as e:
-            logger.error("No se ejecutó el problema de optimización")
-            logger.exception("Error: {}".format(e))
-
-            return
+        opt = SolverFactory('ipopt')
+        #opt.options['max_iter']= 10000
+        result = opt.solve(model)
+        model.solutions.store_to(result)
 
         # Cálculo de Precios Nodales
         # =============================================================================
-        logger.info("Calculando Precios Nodales. Periodo:" + str(PERIODO))
+        print("Calculando Precios Nodales. Periodo:" + str(PERIODO))
         Sigma = zeros(nb)
         for i in model.i:
             Sigma[i] = model.dual[model.balance_inyeccion_retiro_constraint[i]]
 
         # Construcción de array para grabar
         # =============================================================================
-        flujos = DataFrame()
-        flujos['Periodo'] = set_periodo(nbr, PERIODO)
+        flujos=DataFrame()
+        flujos['Periodo']=set_periodo(nbr,PERIODO)
         flujos['BUS I'] = brnames['BUS I']
         flujos['BUS J'] = brnames['BUS J']
         flujos['CKT'] = brnames['CKT']
         f = array(list(model.rtmw_c.get_values().values()))
-        perdidas = zeros(nbr)
+        perdidas=zeros(nbr)
         for c in model.c:
-            perdidas[c] = (f[c]**2)*rc[c]/100
+            perdidas[c]=(f[c]**2)*rc[c]/100
         flujos['Flujo'] = f
         flujos['Perdidas'] = perdidas
-        # Guarda los resultados con los anteriores
-        flujos_t = concat([flujos_t, flujos])
+        flujos=flujos.round({'Flujo':3,'Perdidas':3})
+        flujos_t=concat([flujos_t,flujos].copy())#Guarda los resultados con los anteriores
 
         pon = DataFrame()
         result_inyeccion = array(list(model.inyeccion.get_values().values()))
         result_retiro = array(list(model.retiro.get_values().values()))
-        pon['Periodo'] = set_periodo(nb, PERIODO)
-        pon['nodo'] = bus
+        pon['Periodo']=set_periodo(nb,PERIODO)
+        pon['Nodo']= bus
         pon['Precio Exante'] = Sigma*-1
-        # Guarda los resultados con los anteriores
-        pon_t = concat([pon_t, pon])
-        # print(pon)
-
-        iep = DataFrame()
-        iep['Periodo'] = set_periodo(nb, PERIODO)
-        iep['nodo'] = bus
+        pon=pon.round({'Precio Exante':2})
+        pon_t=concat([pon_t,pon]).copy()#Guarda los resultados con los anteriores
+        #print(pon)
+        
+        iep=DataFrame()
+        iep['Periodo']=set_periodo(nb,PERIODO)
+        iep['nodo']= bus
         iep['Inyeccion'] = result_inyeccion
         iep['Retiro'] = result_retiro
-        # Guarda los resultados con los anteriores
-        iep_t = concat([iep_t, iep])
-
-        result_pff_iny = array(
-            list(model.pff_iny_fisico.get_values().values()))
-        result_pff_ret = array(
-            list(model.pff_ret_fisico.get_values().values()))
-        result_pr = setvariable_p(
-            array(list(model.pr.get_values().values())), NOR)
-        result_pi = setvariable_p(
-            array(list(model.pi.get_values().values())), NOI)
-        result_pfi = setvariable_p(
-            array(list(model.pfi.get_values().values())), NCF)
-        result_pffr = setvariable_p(
-            array(list(model.pffr.get_values().values())), NCFF)
-        result_pffi = setvariable_p(
-            array(list(model.pffi.get_values().values())), NCFF)
-        result_pfft = setvariable_p(
-            array(list(model.pfft.get_values().values())), NCFF)
-
-        result_foo_r = DataFrame()
-        result_foo_r['Periodo'] = ex_oor['periodo']
-        result_foo_r['N°'] = ex_oor['N°']
-        result_foo_r['Pr Bloque 1'] = result_pr[:, 0]
-        result_foo_r['Pr Bloque 2'] = result_pr[:, 1]
-        result_foo_r['Pr Bloque 3'] = result_pr[:, 2]
-        result_foo_r['Pr Bloque 4'] = result_pr[:, 3]
-        result_foo_r['Pr Bloque 5'] = result_pr[:, 4]
-        # Guarda los resultados con los anteriores
-        result_foo_r_t = concat([result_foo_r_t, result_foo_r])
-
-        result_foo_i = DataFrame()
-        result_foo_i['Periodo'] = ex_ooi['periodo']
-        result_foo_i['N°'] = ex_ooi['N°']
-        result_foo_i['Pi Bloque 1'] = result_pi[:, 0]
-        result_foo_i['Pi Bloque 2'] = result_pi[:, 1]
-        result_foo_i['Pi Bloque 3'] = result_pi[:, 2]
-        result_foo_i['Pi Bloque 4'] = result_pi[:, 3]
-        result_foo_i['Pi Bloque 5'] = result_pi[:, 4]
-        # Guarda los resultados con los anteriores
-        result_foo_i_t = concat([result_foo_i_t, result_foo_i])
-
-        result_fof = DataFrame()
-        result_fof['Periodo'] = ex_cf['periodo']
-        result_fof['N°'] = ex_cf['N°']
-        result_fof['Pfi Bloque 1'] = result_pfi[:, 0]
-        result_fof['Pfi Bloque 2'] = result_pfi[:, 1]
-        result_fof['Pfi Bloque 3'] = result_pfi[:, 2]
-        result_fof['Pfi Bloque 4'] = result_pfi[:, 3]
-        result_fof['Pfi Bloque 5'] = result_pfi[:, 4]
-        # Guarda los resultados con los anteriores
-        result_fof_t = concat([result_fof_t, result_fof])
-
-        result_foff = DataFrame()
-        result_foff['Periodo'] = ex_cnfff['periodo']
-        result_foff['N°'] = ex_cnfff['N°']
-        result_foff['Pffr Bloque 1'] = result_pffr[:, 0]
-        result_foff['Pffr Bloque 2'] = result_pffr[:, 1]
-        result_foff['Pffr Bloque 3'] = result_pffr[:, 2]
-        result_foff['Pffr Bloque 4'] = result_pffr[:, 3]
-        result_foff['Pffr Bloque 5'] = result_pffr[:, 4]
-        result_foff['Pffi Bloque 1'] = result_pffi[:, 0]
-        result_foff['Pffi Bloque 2'] = result_pffi[:, 1]
-        result_foff['Pffi Bloque 3'] = result_pffi[:, 2]
-        result_foff['Pffi Bloque 4'] = result_pffi[:, 3]
-        result_foff['Pffi Bloque 5'] = result_pffi[:, 4]
-        result_foff['Pfft Bloque 1'] = result_pfft[:, 0]
-        result_foff['Pfft Bloque 2'] = result_pfft[:, 1]
-        result_foff['Pfft Bloque 3'] = result_pfft[:, 2]
-        result_foff['Pfft Bloque 4'] = result_pfft[:, 3]
-        result_foff['Pfft Bloque 5'] = result_pfft[:, 4]
-        # Guarda los resultados con los anteriores
-        result_foff_t = concat([result_foff_t, result_foff])
-
-        foo_ret_iny = DataFrame()
-        foo_ret_iny['Periodo'] = ex_cnfff['periodo']
-        foo_ret_iny['N°'] = ex_cnfff['N°']
-        foo_ret_iny['Inyeccion'] = result_pff_iny
-        foo_ret_iny['Retiro'] = result_pff_ret
-        # Guarda los resultados con los anteriores
-        foo_ret_iny_t = concat([foo_ret_iny_t, foo_ret_iny])
+        iep=iep.round({'Inyeccion':3,'Retiro':3})
+        iep_t=concat([iep_t,iep]).copy()#Guarda los resultados con los anteriores 
+
+        result_pff_iny=array(list(model.pff_iny_fisico.get_values().values()))
+        result_pff_ret=array(list(model.pff_ret_fisico.get_values().values()))
+        result_pr = setvariable_p(array(list(model.pr.get_values().values())),NOR)
+        result_pi = setvariable_p(array(list(model.pi.get_values().values())),NOI)
+        result_pfi = setvariable_p(array(list(model.pfi.get_values().values())),NCF)
+        result_pffr = setvariable_p(array(list(model.pffr.get_values().values())),NCFF)
+        result_pffi = setvariable_p(array(list(model.pffi.get_values().values())),NCFF)
+        result_pfft = setvariable_p(array(list(model.pfft.get_values().values())),NCFF)
+
+        result_foo_r=DataFrame()
+        result_foo_r['ID']=ex_oor['N°']
+        result_foo_r['Fecha']=ex_oor['Fecha'].apply( lambda d : d.date() )
+        result_foo_r['Periodo']=ex_oor['periodo']
+        result_foo_r['Nodo']=ex_oor['nodo_oor']
+        pais_foo_r=pd.concat([result_foo_r.set_index('Nodo'),nodec.set_index('ID_NODO')], axis=1, join='inner').reset_index()
+        pex_foo_r=pd.concat([result_foo_r.set_index('Nodo'),pon.set_index('Nodo')], axis=1, join='inner').reset_index()
+        result_foo_r.drop(['Nodo'], axis='columns', inplace=True)
+        result_foo_r['Pais']=pais_foo_r['ID_AREA']
+        result_foo_r['Nodo']=ex_oor['nodo_oor']
+        result_foo_r['Precio Exante']=pex_foo_r['Precio Exante']
+        result_foo_r['Agente']=ex_oor['Agente']
+        result_foo_r['MW Predespachados']=result_pr[:,0] + result_pr[:,1] + result_pr[:,2]+result_pr[:,3]+result_pr[:,4]
+        result_foo_r=result_foo_r.round({'MW Predespachados':3})
+        result_foo_r_t=concat([result_foo_r_t,result_foo_r]).copy()#Guarda los resultados con los anteriores
+
+        result_foo_i=DataFrame()
+        result_foo_i['ID']=ex_ooi['N°']
+        result_foo_i['Fecha']=ex_ooi['Fecha'].apply( lambda d : d.date() )
+        result_foo_i['Periodo']=ex_ooi['periodo']
+        result_foo_i['Nodo']=ex_ooi['nodo_i']
+        pex_foo_i=pd.concat([result_foo_i.set_index('Nodo'),pon.set_index('Nodo')], axis=1, join='inner').reset_index()
+        pais_foo_i=pd.concat([result_foo_i.set_index('Nodo'),nodec.set_index('ID_NODO')], axis=1, join='inner').reset_index()
+        result_foo_i.drop(['Nodo'], axis='columns', inplace=True)
+        result_foo_i['Pais']=pais_foo_i['ID_AREA']
+        result_foo_i['Nodo']=ex_ooi['nodo_i']
+        result_foo_i['Precio Exante']=pex_foo_i['Precio Exante']
+        result_foo_i['Agente']=ex_ooi['Agente']
+        result_foo_i['MW Predespachados']=result_pi[:,0]+result_pi[:,1]+result_pi[:,2]+result_pi[:,3]+result_pi[:,4]
+        result_foo_i=result_foo_i.round({'MW Predespachados':3})
+        result_foo_i_t=concat([result_foo_i_t,result_foo_i]).copy()#Guarda los resultados con los anteriores
+        
+        result_fof=DataFrame()
+        result_fof['ID']=ex_cf['N°']
+        result_fof['Fecha']=ex_cf['Fecha'].apply( lambda d : d.date() )
+        result_fof['Periodo']=ex_cf['periodo']
+        result_fof['Nodo Inyeccion']=ex_cf['nodo_cfi']
+        pex_fof_i=pd.concat([result_fof.set_index('Nodo Inyeccion'),pon.set_index('Nodo')], axis=1, join='inner').reset_index()
+        pais_fof_i=pd.concat([result_fof.set_index('Nodo Inyeccion'),nodec.set_index('ID_NODO')], axis=1, join='inner').reset_index()
+        result_fof.drop(['Nodo Inyeccion'], axis='columns', inplace=True)
+        result_fof['Pais Inyeccion']=pais_fof_i['ID_AREA']
+        result_fof['Nodo Inyeccion']=ex_cf['nodo_cfi']
+        result_fof['Precio Exante Inyeccion']=pex_fof_i['Precio Exante']
+        result_fof['Agente Inyeccion']=ex_cf['agente_cfi']
+        result_fof['Nodo Retiro']=ex_cf['nodo_cfr']
+        pais_fof_r=pd.concat([result_fof.set_index('Nodo Retiro'),nodec.set_index('ID_NODO')], axis=1, join='inner').reset_index()
+        pex_fof_r=pd.concat([result_fof.set_index('Nodo Retiro'),pon.set_index('Nodo')], axis=1, join='inner').reset_index()
+        result_fof.drop(['Nodo Retiro'], axis='columns', inplace=True)
+        result_fof['Pais Retiro']=pais_fof_r['ID_AREA']
+        result_fof['Nodo Retiro']=ex_cf['nodo_cfr']
+        result_fof['Precio Exante Retiro']=pex_fof_r['Precio Exante']
+        result_fof['Agente Retiro']=ex_cf['agente_cfr']
+        result_fof['MW Predespachados O.I. Flexibilidad']=result_pfi[:,0]+result_pfi[:,1]+result_pfi[:,2]+result_pfi[:,3]+result_pfi[:,4]
+        result_fof['MW Predespachados Ret. Requerido']=ex_cf['potencia_req']
+        result_fof=result_fof.round({'MW Predespachados O.I. Flexibilidad':3,'MW Predespachados Ret. Requerido':3})
+        result_fof_t=concat([result_fof_t,result_fof]).copy()#Guarda los resultados con los anteriores
+
+        result_foff=DataFrame()
+        result_foff['ID']=ex_cnfff['N°']
+        result_foff['Fecha']=ex_cnfff['Fecha'].apply( lambda d : d.date() )
+        result_foff['Periodo']=ex_cnfff['periodo']
+        result_foff['Nodo Inyeccion']=ex_cnfff['nodo_cnfffi']
+        pex_foff_i=pd.concat([result_foff.set_index('Nodo Inyeccion'),pon.set_index('Nodo')], axis=1, join='inner').reset_index()
+        pais_foff_i=pd.concat([result_foff.set_index('Nodo Inyeccion'),nodec.set_index('ID_NODO')], axis=1, join='inner').reset_index()
+        result_foff.drop(['Nodo Inyeccion'], axis='columns', inplace=True)
+        result_foff['Pais Inyeccion']=pais_foff_i['ID_AREA']
+        result_foff['Nodo Inyeccion']=ex_cnfff['nodo_cnfffi']
+        result_foff['Precio Exante Inyeccion']=pex_foff_i['Precio Exante']
+        result_foff['Agente Inyeccion']=ex_cnfff['agente_cnfffi']
+        result_foff['Nodo Retiro']=ex_cnfff['nodo_cnfffr']
+        pais_foff_r=pd.concat([result_foff.set_index('Nodo Retiro'),nodec.set_index('ID_NODO')], axis=1, join='inner').reset_index()
+        pex_foff_r=pd.concat([result_foff.set_index('Nodo Retiro'),pon.set_index('Nodo')], axis=1, join='inner').reset_index()
+        result_foff.drop(['Nodo Retiro'], axis='columns', inplace=True)
+        result_foff['Pais Retiro']=pais_foff_r['ID_AREA']
+        result_foff['Nodo Retiro']=ex_cnfff['nodo_cnfffr']
+        result_foff['Precio Exante Retiro']=pex_foff_r['Precio Exante']
+        result_foff['Agente Retiro']=ex_cnfff['agente_cnfffr']
+        result_foff['CVT']=result_foff['Precio Exante Retiro'] - result_foff['Precio Exante Inyeccion']
+        result_foff['MW Predespachados CNFFF']=result_pfft[:,0]+result_pfft[:,1]+result_pfft[:,2]+result_pfft[:,3]+result_pfft[:,4]
+        result_foff['MW Predespachados O.I. Flexibilidad']=result_pffi[:,0]+result_pffi[:,1]+result_pffi[:,2]+result_pffi[:,3]+result_pffi[:,4]
+        result_foff['MW Predespachados O.R. Flexibilidad']=result_pffr[:,0]+result_pffr[:,1]+result_pffr[:,2]+result_pffr[:,3]+result_pffr[:,4]
+        result_foff=result_foff.round({'CVT':2,'MW Predespachados CNFFF':3,'MW Predespachados O.R. Flexibilidad':3,'MW Predespachados O.I. Flexibilidad':3})
+        result_foff_t=concat([result_foff_t,result_foff])#Guarda los resultados con los anteriores
 
     logger.info("Escribiendo resultados en carpeta.")
     filename = path.basename(file).split('.')
@@ -667,17 +689,21 @@ def setmodel(file, p_exec, all_day=True):
         new_filename = filename[0]+'_results_{}.'.format(p_exec)+filename[1]
         new_file = path.join(filepath, new_filename)
 
-    writer = ExcelWriter(new_file)
-    flujos_t.to_excel(writer, 'IEP-RTR', index=False)
-    iep_t.to_excel(writer, 'IEP-TOTAL', index=False)
-    pon_t.to_excel(writer, 'PEXANTES', index=False)
-    result_foo_i_t.to_excel(writer, 'TOP-I', index=False)
-    result_foo_r_t.to_excel(writer, 'TOP-R', index=False)
-    result_fof_t.to_excel(writer, 'TCP-CF', index=False)
-    result_foff_t.to_excel(writer, 'TCP-CNFFF-1', index=False)
-    foo_ret_iny_t.to_excel(writer, 'TCP-CNFFF-2', index=False)
+    writer=ExcelWriter(new_file)
+    flujos_t.to_excel(writer,'IEP-RTR',index=False)
+    iep_t.to_excel(writer,'IEP-TOTAL',index=False)
+    pon_t.to_excel(writer,'PEXANTE',index=False)
+    result_foo_i_t.to_excel(writer,'TOP-I',index=False)
+    result_foo_r_t.to_excel(writer,'TOP-R',index=False)
+    result_fof_t.to_excel(writer,'TCP-CF',index=False)
+    result_foff_t.to_excel(writer,'TCP-CNFFF',index=False)
     writer.save()
 
+    print("{:=^100}".format(""))
+    print("{:^100}".format(" Script Finalizado "))
+    print("{:^100}".format(" Mercados Eléctricos de Centroamérica (c) 2020 "))
+    print("{:=^100}".format(""))
+        
     return 0
 
 

red/create.py

@@ -71,7 +71,7 @@ def branchnames(b, br):
     brnames['CKT']=br[:,2]
     brnames.loc[i,'Total']=0
     for i in range(0, brnames.shape[0]):
-        brnames.loc[i,'Total']=brnames.loc[i,'BUS I']+"-"+brnames.loc[i,'BUS J']+"-"+brnames.loc[i,'CKT']
+        brnames.loc[i,'Total']=brnames.loc[i,'BUS I']+"-"+brnames.loc[i,'BUS J']+"-"+str(brnames.loc[i,'CKT'])
     return brnames
 
 def set_periodo(numero,periodo):

red/create1.py

@@ -31,7 +31,7 @@ def readofertas_oois(predespacho_file):
     """
 
     ofer_ooi = read_excel(predespacho_file,sheet_name='ooi')
-    ofer_ooi.columns = ['N°','periodo','nodo_i','Generador','precio_ooi1','magnitud_ooi1','precio_ooi2','magnitud_ooi2','precio_ooi3','magnitud_ooi3','precio_ooi4','magnitud_ooi4','precio_ooi5','magnitud_ooi5']
+    ofer_ooi.columns = ['N°','Fecha','periodo','nodo_i','Agente','precio_ooi1','magnitud_ooi1','precio_ooi2','magnitud_ooi2','precio_ooi3','magnitud_ooi3','precio_ooi4','magnitud_ooi4','precio_ooi5','magnitud_ooi5']
     
     return ofer_ooi
 
@@ -73,7 +73,7 @@ def readofertas_oors(predespacho_file):
     """
 
     ofer_oor = read_excel(predespacho_file,sheet_name='oor')
-    ofer_oor.columns = ['N°','periodo','nodo_oor','generador','precio_oor1','magnitud_oor1','precio_oor2','magnitud_oor2','precio_oor3','magnitud_oor3','precio_oor4','magnitud_oor4','precio_oor5','magnitud_oor5']
+    ofer_oor.columns = ['N°','Fecha','periodo','nodo_oor','Agente','precio_oor1','magnitud_oor1','precio_oor2','magnitud_oor2','precio_oor3','magnitud_oor3','precio_oor4','magnitud_oor4','precio_oor5','magnitud_oor5']
 
     return ofer_oor
 
@@ -120,7 +120,7 @@ def readofertas_cfs(predespacho_file):
     """
 
     ofer_cf = read_excel(predespacho_file,sheet_name='cf')
-    ofer_cf.columns = ['N°','periodo','nodo_cfi','generador','nodo_cfr','energía_dec','potencia_req','precio_cf1','magnitu_cf1','precio_cf2','magnitu_cf2','precio_cf3','magnitu_cf3','precio_cf4','magnitu_cf4','precio_cf5','magnitu_cf5']
+    ofer_cf.columns = ['N°','Fecha','periodo','nodo_cfi','agente_cfi','nodo_cfr','agente_cfr','energía_dec','potencia_req','precio_cf1','magnitu_cf1','precio_cf2','magnitu_cf2','precio_cf3','magnitu_cf3','precio_cf4','magnitu_cf4','precio_cf5','magnitu_cf5']
     
     return ofer_cf
 
@@ -208,7 +208,7 @@ def readofertas_cnfffs(predespacho_file):
     """
 
     ofer_cnfffi = read_excel(predespacho_file,sheet_name='cnfff')
-    ofer_cnfffi.columns = ['N°','periodo','nodo_cnfffi','generador','nodo_cnfffr','energía_dec','precio_i1','magnitud_i1','precio_i2','magnitud_i2','precio_i3','magnitud_i3','precio_i4','magnitud_i4','precio_i5','magnitud_i5','precio_r1','magnitud_r1','precio_r2','magnitud_r2','precio_r3','magnitud_r3','precio_r4','magnitud_r4','precio_r5','magnitud_r5','k','precio_cvt1','magnitud_cvt1','precio_cvt2','magnitud_cvt2','precio_cvt3','magnitud_cvt3','precio_cvt4','magnitud_cvt4','precio_cvt5','magnitud_cvt5']
+    ofer_cnfffi.columns = ['N°','Fecha','periodo','nodo_cnfffi','agente_cnfffi','nodo_cnfffr','agente_cnfffr','energía_dec','precio_i1','magnitud_i1','precio_i2','magnitud_i2','precio_i3','magnitud_i3','precio_i4','magnitud_i4','precio_i5','magnitud_i5','precio_r1','magnitud_r1','precio_r2','magnitud_r2','precio_r3','magnitud_r3','precio_r4','magnitud_r4','precio_r5','magnitud_r5','k','precio_cvt1','magnitud_cvt1','precio_cvt2','magnitud_cvt2','precio_cvt3','magnitud_cvt3','precio_cvt4','magnitud_cvt4','precio_cvt5','magnitud_cvt5']
     
     return ofer_cnfffi
 

red/nodos_pais.csv

@@ -0,0 +1,1748 @@
+ID_NODO,ID_AREA
+22301,El Salvador
+54110,Costa Rica
+54130,Costa Rica
+54132,Costa Rica
+54154,Costa Rica
+54170,Costa Rica
+54171,Costa Rica
+54172,Costa Rica
+54250,Costa Rica
+54270,Costa Rica
+54271,Costa Rica
+54500,Costa Rica
+54520,Costa Rica
+54521,Costa Rica
+56000,Costa Rica
+56008,Costa Rica
+56030,Costa Rica
+56031,Costa Rica
+56050,Costa Rica
+56058,Costa Rica
+56080,Costa Rica
+56081,Costa Rica
+56100,Costa Rica
+56108,Costa Rica
+56110,Costa Rica
+56130,Costa Rica
+56131,Costa Rica
+58004,Costa Rica
+58008,Costa Rica
+58020,Costa Rica
+58021,Costa Rica
+58022,Costa Rica
+58030,Costa Rica
+58054,Costa Rica
+58058,Costa Rica
+58081,Costa Rica
+58104,Costa Rica
+58108,Costa Rica
+58120,Costa Rica
+58121,Costa Rica
+58122,Costa Rica
+58130,Costa Rica
+58154,Costa Rica
+58200,Costa Rica
+58204,Costa Rica
+58208,Costa Rica
+58213,Costa Rica
+58230,Costa Rica
+58231,Costa Rica
+58233,Costa Rica
+58234,Costa Rica
+58235,Costa Rica
+58254,Costa Rica
+58258,Costa Rica
+58280,Costa Rica
+58281,Costa Rica
+58300,Costa Rica
+58304,Costa Rica
+58308,Costa Rica
+58312,Costa Rica
+58320,Costa Rica
+58321,Costa Rica
+58322,Costa Rica
+58323,Costa Rica
+58324,Costa Rica
+58325,Costa Rica
+58326,Costa Rica
+58330,Costa Rica
+58331,Costa Rica
+58334,Costa Rica
+58335,Costa Rica
+58336,Costa Rica
+58350,Costa Rica
+58358,Costa Rica
+58380,Costa Rica
+3190,Honduras
+4402,Nicaragua
+4403,Nicaragua
+4404,Nicaragua
+4405,Nicaragua
+4406,Nicaragua
+4407,Nicaragua
+4408,Nicaragua
+4410,Nicaragua
+4411,Nicaragua
+4412,Nicaragua
+4415,Nicaragua
+4416,Nicaragua
+4600,Nicaragua
+4601,Nicaragua
+4602,Nicaragua
+4604,Nicaragua
+4605,Nicaragua
+4606,Nicaragua
+4608,Nicaragua
+4610,Nicaragua
+4611,Nicaragua
+4612,Nicaragua
+4613,Nicaragua
+4614,Nicaragua
+4615,Nicaragua
+4616,Nicaragua
+4617,Nicaragua
+4619,Nicaragua
+4620,Nicaragua
+4622,Nicaragua
+4623,Nicaragua
+4624,Nicaragua
+4625,Nicaragua
+4626,Nicaragua
+22361,El Salvador
+22371,El Salvador
+22372,El Salvador
+22421,El Salvador
+22451,El Salvador
+23131,El Salvador
+23441,El Salvador
+24111,El Salvador
+24112,El Salvador
+24131,El Salvador
+24161,El Salvador
+24171,El Salvador
+24181,El Salvador
+24301,El Salvador
+24321,El Salvador
+24341,El Salvador
+24351,El Salvador
+24381,El Salvador
+24391,El Salvador
+24401,El Salvador
+24411,El Salvador
+24412,El Salvador
+24441,El Salvador
+24461,El Salvador
+24471,El Salvador
+24481,El Salvador
+24491,El Salvador
+27101,El Salvador
+27111,El Salvador
+27131,El Salvador
+27133,El Salvador
+27161,El Salvador
+27171,El Salvador
+27181,El Salvador
+27211,El Salvador
+27301,El Salvador
+27321,El Salvador
+27341,El Salvador
+27351,El Salvador
+27361,El Salvador
+27371,El Salvador
+27381,El Salvador
+27391,El Salvador
+27401,El Salvador
+27411,El Salvador
+27421,El Salvador
+27431,El Salvador
+27441,El Salvador
+27451,El Salvador
+27461,El Salvador
+27471,El Salvador
+27481,El Salvador
+27491,El Salvador
+27511,El Salvador
+28161,El Salvador
+28181,El Salvador
+28371,El Salvador
+29161,El Salvador
+29162,El Salvador
+29181,El Salvador
+29182,El Salvador
+50000,Costa Rica
+50008,Costa Rica
+50030,Costa Rica
+50031,Costa Rica
+50050,Costa Rica
+50054,Costa Rica
+50058,Costa Rica
+50080,Costa Rica
+50081,Costa Rica
+50082,Costa Rica
+50083,Costa Rica
+50100,Costa Rica
+50103,Costa Rica
+50108,Costa Rica
+50120,Costa Rica
+50121,Costa Rica
+50122,Costa Rica
+50123,Costa Rica
+50130,Costa Rica
+50200,Costa Rica
+50208,Costa Rica
+50213,Costa Rica
+50214,Costa Rica
+50220,Costa Rica
+50221,Costa Rica
+50222,Costa Rica
+50230,Costa Rica
+50231,Costa Rica
+50232,Costa Rica
+50233,Costa Rica
+50234,Costa Rica
+50250,Costa Rica
+50253,Costa Rica
+50258,Costa Rica
+50260,Costa Rica
+50262,Costa Rica
+50270,Costa Rica
+50271,Costa Rica
+50272,Costa Rica
+50273,Costa Rica
+50280,Costa Rica
+50281,Costa Rica
+50282,Costa Rica
+50300,Costa Rica
+50308,Costa Rica
+50330,Costa Rica
+50350,Costa Rica
+50354,Costa Rica
+50358,Costa Rica
+50370,Costa Rica
+50371,Costa Rica
+50380,Costa Rica
+50382,Costa Rica
+50384,Costa Rica
+50404,Costa Rica
+50408,Costa Rica
+50410,Costa Rica
+50412,Costa Rica
+50430,Costa Rica
+50431,Costa Rica
+50454,Costa Rica
+50498,Costa Rica
+50499,Costa Rica
+50504,Costa Rica
+50512,Costa Rica
+50514,Costa Rica
+50530,Costa Rica
+50531,Costa Rica
+50532,Costa Rica
+50554,Costa Rica
+50558,Costa Rica
+50562,Costa Rica
+50580,Costa Rica
+50581,Costa Rica
+50604,Costa Rica
+50612,Costa Rica
+50614,Costa Rica
+50620,Costa Rica
+50621,Costa Rica
+50650,Costa Rica
+50658,Costa Rica
+50662,Costa Rica
+50664,Costa Rica
+50680,Costa Rica
+50681,Costa Rica
+50682,Costa Rica
+50700,Costa Rica
+50708,Costa Rica
+50710,Costa Rica
+50712,Costa Rica
+50720,Costa Rica
+50721,Costa Rica
+50722,Costa Rica
+50730,Costa Rica
+50731,Costa Rica
+50732,Costa Rica
+50750,Costa Rica
+50800,Costa Rica
+50808,Costa Rica
+50812,Costa Rica
+50820,Costa Rica
+50830,Costa Rica
+50831,Costa Rica
+50900,Costa Rica
+50908,Costa Rica
+50910,Costa Rica
+50920,Costa Rica
+50921,Costa Rica
+50922,Costa Rica
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red/orderC.py

@@ -0,0 +1,2 @@
+from pandas import read_csv
+nodec=read_csv("red/nodos_pais.csv")

red/read.py

@@ -45,6 +45,6 @@ def excel2net(file):
         La información debe de estar en una hoja del archivo llamada 'rtr'.
     """
     df = read_excel(file, sheet_name='rtr')
-    df.columns = ['bus_i', 'bus_j', 'ckt', 'x', 'r', 'max', 'min']
+    df.columns = ['periodo','bus_i', 'bus_j', 'ckt', 'x', 'r', 'max', 'min']
     
     return df