filecontent = f.read()
fileLines = filecontent.split('\n')
# grab bus data
for line in fileLines:
if line == '':
continue
if 'List of buses' in line: # skip the header file
continue
words = line.split(',')
Bus = words[0].strip()
ArtificialLoadBusSet.add(Bus)
# generate artificial load bus data
planningFlowData = BusFlowData(planningFlowReport,
planningRaw) # flow data for planning
artificialLoadLines = [
] # lines which will contain all the artificial load data
with open(ArtificialLoadMappingFile, 'r') as f:
filecontent = f.read()
fileLines = filecontent.split('\n')
# grab artificial load mapping data
for line in fileLines:
if line == '':
continue
if 'CAPE' in line:
continue
outerwords = line.split('=')
CAPESide = outerwords[0].strip()
""" Outputs any mismatches from given bus report data Has two modes: Output all the mismatch in a consolidated fashion Search manually for mismatch data """ # external functions and data from analyzeBusReportFn import BusFlowData # organize the bus flow data into a class structure from getBranchGroupFn import makeBranchGroups # this function will help map any ties to buses which are already mapped flowReport = 'BusReports_RAW0530.txt' CAPERaw = 'RAW0530.raw' mismatchDataFile = 'mismatchData0530.txt' # contains all the current mismatch data flowData = BusFlowData(flowReport, CAPERaw) """ Clues on how to access the data within flowData: Each key of flowData contains the following class class mismatchReport(object): def __init__(self): self.toBus = [] self.MWList = [] self.MVARList = [] self.MVAList = [] self.cktID = [] self.MismatchMVA = 0.0 self.MismatchMW = 0.0 self.MismatchMVAR = 0.0 """ BranchGroupDict = makeBranchGroups(CAPERaw) # every value here is a set
sampleLoadStr = " 4355,'1 ',1, 222, 20, 1.400, 0.600, 0.000, 0.000, 0.000, 0.000, 222,1,0"
# change load data
words = sampleLoadStr.split(',')
words[0] = ' ' * (6 - len(toBus)) + toBus.strip() # change the bus info
words[5] = ' ' * (10 - len(toBusMW)) + toBusMW # new load MW
words[6] = ' ' * (10 - len(toBusMVAR)) + toBusMVAR # new load MVAR
newLoadLine = reconstructLine2(words)
return newLoadLine
if __name__ == '__main__':
from analyzeBusReportFn import BusFlowData
planningFlowReport = 'BusReports_Planning.txt'
planningRaw = 'hls18v1dyn_1219.raw'
planningFlowData = BusFlowData(planningFlowReport, planningRaw)
MapDict = {}
MapFile = 'blue2red345.txt' # CAPE to planning updated bus map
# get Mapping info
with open(MapFile, 'r') as f:
filecontent = f.read()
fileLines = filecontent.split('\n')
for line in fileLines:
if line == '':
continue
words = line.split('->')
CAPEBus = words[0].strip()
try:
PlanningBus = words[2].strip()
'C:/Users/Bikiran/Google Drive/Bus Mapping Project Original/Donut Hole Approach/Donut Hole v2'
)
import math
from getBusDataFn import getBusData
from analyzeBusReportFn import BusFlowData # organize the bus flow data into a class structure
from getBranchGroupFn import makeBranchGroups # this function will help map any ties to buses which are already mapped
flowReport = 'BusReports_RAW0602_final.txt' # CAPE bus flow report
CAPERaw = 'RAW0602.raw'
mismatchDataFile = 'mismatchDataRAW0602_check.txt' # contains all the current mismatch data
planningRaw = 'hls18v1dyn_1219.raw'
MapFile = 'blue2red345.txt' # CAPE to planning updated bus map
planningflowReport = 'BusReports_Planning.txt' # Planning bus flow report
flowData = BusFlowData(flowReport, CAPERaw)
planningflowData = BusFlowData(planningflowReport, planningRaw)
planningBusDataDict = getBusData(planningRaw)
CAPEBusDataDict = getBusData(CAPERaw)
planningBusDataDict = getBusData(planningRaw)
mismatchDictHighPriority = {}
mismatchDictLowPriority = {}
MapDict = {}
#mismatchLinesHighPriority =[]
#mismatchLinesLowPriority = []
"""
Clues on how to access the data within flowData:
Each key of flowData contains the following class
class mismatchReport(object):
def __init__(self):
self.toBus = []