EXPORT DATA from EXCEL to PSSE

asked 2017-07-11 22:42:08 -0500

Mike
1 ●4 ●4 ●4

I am receiving an error at the end of my code when trying to load the information into PSSE. My goal is once all the data was organized how I wanted, the next step was to use that organized data and import it to PSSE. Everything before that works but once I use a PSSE API, nothing works. I get this error: psspy.bsys(1,0,[0.0,0.0],0,[],1,[bus],0,[],0,[]) File ".\psspy.py", line 46020, in bsys TypeError: an integer is required. So the code is listed below. import os, sys

PSSE_LOCATION = r"C:\Program Files (x86)\PTI\PSSE33\PSSBIN"
sys.path.append(PSSE_LOCATION)
os.environ['PATH'] = os.environ['PATH'] + ';' + PSSE_LOCATION
import psspy
import redirect
import csv
psspy.throwPsseExceptions = True


STUDY_CASE = 'C:\Users\RoszkowskiM\Documents\Cases\Final\ceii_Case1_SUM_2017_5050_MMWG16PF_FINAL.sav'

LOAD_GEN_DATAFILE = 'C:\Users\RoszkowskiM\Documents\CSV Files\ASTECOR_TLA.csv'

psspy.psseinit(10000)
psspy.case(STUDY_CASE)



data = list(csv.reader(open(LOAD_GEN_DATAFILE)))
mydict = {}
for row in data:
  year,location,bus,change,isload = row[0:5]
# convert the types from string to Python numbers

change= float(change)
bus = int(bus)

#If this is a year not seen before, add it to the dictionary
  if year not in mydict:
      mydict[year] = {}
      busses_in_year = mydict[year]
  if location not in busses_in_year:
      busses_in_year[location] = []

   #Add the bus to the list of busses that stop at this location
   busses_in_year[location].append((bus, change,isload))


    # assume CSV has columns as described in the doc string
     year = raw_input("Select Year of Study: ")

     location = raw_input(" Select the number associated to the TLA Pocket Location:")

     if year in mydict and location in mydict[year]:  
     busses_in_year = mydict[year]
     print("Here are all the busses at that location for that year: ")
    for bus in busses_in_year[location]:
     print(bus)


    else:
       print("Invalid Year or Location")

       # I am trying to scale the generation by using these API's. It's based off the loaded information above. I guessed
            # and used bus and change to replace parts of the API with bsys and scal_2
      if isload.isdigit() and int(isload):    
          psspy.bsys(1,0,[0.0,0.0],0,[],1,[bus],0,[],0,[])
          psspy.scal_2(1,0,1,[0,0,0,0,0],[0.0,0.0,0.0,0.0,0.0,0.0,0.0])
          psspy.scal_2(0,1,2,[0,1,0,1,0],[change,0.0,0,-.0,0.0,-.0,0])