def omfCalibrate(workDir, feederPath, scadaPath):
'''calibrates a feeder and saves the calibrated tree at a location'''
with open(feederPath, "r") as jsonIn:
feederJson = json.load(jsonIn)
tree = feederJson.get("tree", {})
scadaSubPower = _processScadaData(workDir,scadaPath)
# Force FBS powerflow, because NR fails a lot.
for key in tree:
if tree[key].get("module","").lower() == "powerflow":
tree[key] = {"module":"powerflow","solver_method":"FBS"}
# Attach player.
classOb = {"class":"player", "variable_names":["value"], "variable_types":["double"]}
playerOb = {"object":"player", "property":"value", "name":"scadaLoads", "file":"subScada.player", "loop":"0"}
maxKey = feeder.getMaxKey(tree)
tree[maxKey+1] = classOb
tree[maxKey+2] = playerOb
# Make loads reference player.
loadTemplate = {"object": "triplex_load",
"power_pf_12": "0.95",
"impedance_pf_12": "0.98",
"power_pf_12": "0.90",
"impedance_fraction_12": "0.7",
"power_fraction_12": "0.3"}
for key in tree:
ob = tree[key]
if ob.get("object","") == "triplex_node" and ob.get("power_12","") != "":
newOb = dict(loadTemplate)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage","")
newOb["latitude"] = ob.get("latitude","0")
newOb["longitude"] = ob.get("longitude","0")
oldPow = ob.get("power_12","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_12"] = "scadaLoads.value*" + str(pythagPower)
tree[key] = newOb
# Search for the substation regulator and attach a recorder there.
for key in tree:
if tree[key].get('bustype','').lower() == 'swing':
swingName = tree[key].get('name')
for key in tree:
if tree[key].get('object','') == 'regulator' and tree[key].get('from','') == swingName:
regIndex = key
SUB_REG_NAME = tree[key]['name']
recOb = {"object": "recorder",
"parent": SUB_REG_NAME,
"property": "power_in.real,power_in.imag",
"file": "caliSub.csv",
"interval": "900"}
tree[maxKey + 3] = recOb
HOURS = 100
feeder.adjustTime(tree, HOURS, "hours", "2011-01-01")
# Run Gridlabd.
output = gridlabd.runInFilesystem(tree, keepFiles=True, workDir=workDir)
# Calculate scaling constant.
outRealPow = output["caliSub.csv"]["power_in.real"]
outImagPower = output["caliSub.csv"]["power_in.imag"]
outAppPowerKw = [(x[0]**2 + x[1]**2)**0.5/1000 for x in zip(outRealPow, outImagPower)]
# HACK: ignore first time step in output and input because GLD sometimes breaks the first step.
SCAL_CONST = sum(scadaSubPower[1:HOURS])/sum(outAppPowerKw[1:HOURS])
# Rewrite the subScada.player file so all the power values are multiplied by the SCAL_CONSTANT.
newPlayData = []
with open(pJoin(workDir, "subScada.player"), "r") as playerFile:
for line in playerFile:
(key,val) = line.split(',')
newPlayData.append(str(key) + ',' + str(float(val)*SCAL_CONST) + "\n")
with open(pJoin(workDir, "subScadaCalibrated.player"), "w") as playerFile:
for row in newPlayData:
playerFile.write(row)
# Test by running a glm with subScadaCalibrated.player and caliSub.csv2.
tree[maxKey+2]["file"] = "subScadaCalibrated.player"
tree[maxKey + 3]["file"] = "caliSubCheck.csv"
secondOutput = gridlabd.runInFilesystem(tree, keepFiles=True, workDir=workDir)
plt.plot(outAppPowerKw[1:HOURS], label="initialGuess")
plt.plot(scadaSubPower[1:HOURS], label="scadaSubPower")
secondAppKw = [(x[0]**2 + x[1]**2)**0.5/1000
for x in zip(secondOutput["caliSubCheck.csv"]["power_in.real"], secondOutput["caliSubCheck.csv"]["power_in.imag"])]
plt.plot(secondAppKw[1:HOURS], label="finalGuess")
plt.legend(loc=3)
plt.savefig(pJoin(workDir,"caliCheckPlot.png"))
# Write the final output.
with open(pJoin(workDir,"calibratedFeeder.json"),"w") as outJson:
playerString = open(pJoin(workDir,"subScadaCalibrated.player")).read()
feederJson["attachments"]["subScadaCalibrated.player"] = playerString
feederJson["tree"] = tree
json.dump(feederJson, outJson, indent=4)
return
def omfCalibrate(workDir, feederPath, scadaPath):
'''calibrates a feeder and saves the calibrated tree at a location'''
with open(feederPath, "r") as jsonIn:
feederJson = json.load(jsonIn)
tree = feederJson.get("tree", {})
scadaSubPower = _processScadaData(workDir, scadaPath)
# Force FBS powerflow, because NR fails a lot.
for key in tree:
if tree[key].get("module", "").lower() == "powerflow":
tree[key] = {"module": "powerflow", "solver_method": "FBS"}
# Attach player.
classOb = {
"class": "player",
"variable_names": ["value"],
"variable_types": ["double"]
}
playerOb = {
"object": "player",
"property": "value",
"name": "scadaLoads",
"file": "subScada.player",
"loop": "0"
}
maxKey = feeder.getMaxKey(tree)
tree[maxKey + 1] = classOb
tree[maxKey + 2] = playerOb
# Make loads reference player.
loadTemplate = {
"object": "triplex_load",
"power_pf_12": "0.95",
"impedance_pf_12": "0.98",
"power_pf_12": "0.90",
"impedance_fraction_12": "0.7",
"power_fraction_12": "0.3"
}
for key in tree:
ob = tree[key]
if ob.get("object",
"") == "triplex_node" and ob.get("power_12", "") != "":
newOb = dict(loadTemplate)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage", "")
newOb["latitude"] = ob.get("latitude", "0")
newOb["longitude"] = ob.get("longitude", "0")
oldPow = ob.get("power_12", "").replace("j", "d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_12"] = "scadaLoads.value*" + str(pythagPower)
tree[key] = newOb
# Search for the substation regulator and attach a recorder there.
for key in tree:
if tree[key].get('bustype', '').lower() == 'swing':
swingName = tree[key].get('name')
for key in tree:
if tree[key].get('object', '') == 'regulator' and tree[key].get(
'from', '') == swingName:
regIndex = key
SUB_REG_NAME = tree[key]['name']
recOb = {
"object": "recorder",
"parent": SUB_REG_NAME,
"property": "power_in.real,power_in.imag",
"file": "caliSub.csv",
"interval": "900"
}
tree[maxKey + 3] = recOb
HOURS = 100
feeder.adjustTime(tree, HOURS, "hours", "2011-01-01")
# Run Gridlabd.
output = gridlabd.runInFilesystem(tree, keepFiles=True, workDir=workDir)
# Calculate scaling constant.
outRealPow = output["caliSub.csv"]["power_in.real"]
outImagPower = output["caliSub.csv"]["power_in.imag"]
outAppPowerKw = [(x[0]**2 + x[1]**2)**0.5 / 1000
for x in zip(outRealPow, outImagPower)]
# HACK: ignore first time step in output and input because GLD sometimes breaks the first step.
SCAL_CONST = sum(scadaSubPower[1:HOURS]) / sum(outAppPowerKw[1:HOURS])
# Rewrite the subScada.player file so all the power values are multiplied by the SCAL_CONSTANT.
newPlayData = []
with open(pJoin(workDir, "subScada.player"), "r") as playerFile:
for line in playerFile:
(key, val) = line.split(',')
newPlayData.append(
str(key) + ',' + str(float(val) * SCAL_CONST) + "\n")
with open(pJoin(workDir, "subScadaCalibrated.player"), "w") as playerFile:
for row in newPlayData:
playerFile.write(row)
# Test by running a glm with subScadaCalibrated.player and caliSub.csv2.
tree[maxKey + 2]["file"] = "subScadaCalibrated.player"
tree[maxKey + 3]["file"] = "caliSubCheck.csv"
secondOutput = gridlabd.runInFilesystem(tree,
keepFiles=True,
workDir=workDir)
plt.plot(outAppPowerKw[1:HOURS], label="initialGuess")
plt.plot(scadaSubPower[1:HOURS], label="scadaSubPower")
secondAppKw = [
(x[0]**2 + x[1]**2)**0.5 / 1000
for x in zip(secondOutput["caliSubCheck.csv"]["power_in.real"],
secondOutput["caliSubCheck.csv"]["power_in.imag"])
]
plt.plot(secondAppKw[1:HOURS], label="finalGuess")
plt.legend(loc=3)
plt.savefig(pJoin(workDir, "caliCheckPlot.png"))
# Write the final output.
with open(pJoin(workDir, "calibratedFeeder.json"), "w") as outJson:
playerString = open(pJoin(workDir, "subScadaCalibrated.player")).read()
feederJson["attachments"]["subScadaCalibrated.player"] = playerString
feederJson["tree"] = tree
json.dump(feederJson, outJson, indent=4)
return
def omfCalibrate(workDir, feederPath, scadaPath, simStartDate, simLength, simLengthUnits, solver="FBS", calibrateError=(0.05,5), trim=5):
'''calibrates a feeder and saves the calibrated tree at a location.
Note: feeders with cap banks should be calibrated with cap banks OPEN.
We have seen cap banks throw off calibration.'''
with open(feederPath, "r") as jsonIn:
feederJson = json.load(jsonIn)
tree = feederJson.get("tree", {})
simLength = simLength + trim
# Process scada data.
scadaSubPower = _processScadaData(pJoin(workDir,"gridlabD"),scadaPath, simStartDate, simLengthUnits)
# Load specified solver.
for key in tree:
if tree[key].get("module","").lower() == "powerflow":
tree[key] = {"module":"powerflow","solver_method":solver}
# Attach player.
classOb = {'omftype':'class player','argument':'{double value;}'}
playerOb = {"object":"player", "property":"value", "name":"scadaLoads", "file":"subScada.player", "loop":"0"}
maxKey = feeder.getMaxKey(tree)
playerKey = maxKey + 2
tree[maxKey+1] = classOb
tree[playerKey] = playerOb
# Make loads reference player.
loadTemplate = {"object": "triplex_load",
"power_pf_12": "0.95",
"impedance_pf_12": "0.98",
"power_pf_12": "0.90",
"impedance_fraction_12": "0.7",
"power_fraction_12": "0.3"}
loadTemplateR = {"object": "load",
"impedance_pf_A": "0.98",
"impedance_pf_B": "0.98",
"impedance_pf_C": "0.98",
"power_pf_A": "0.90",
"power_pf_B": "0.90",
"power_pf_C": "0.90",
"impedance_fraction_A": "0.7",
"impedance_fraction_B": "0.7",
"impedance_fraction_C": "0.7",
"power_fraction_A": "0.3",
"power_fraction_B": "0.3",
"power_fraction_C": "0.3"}
for key in tree:
ob = tree[key]
if ob.get("object","") == "triplex_node" and ob.get("power_12","") != "":
# Add to triplex_nodes.
newOb = dict(loadTemplate)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage","")
newOb["latitude"] = ob.get("latitude","0")
newOb["longitude"] = ob.get("longitude","0")
oldPow = ob.get("power_12","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_12"] = "scadaLoads.value*" + str(pythagPower)
tree[key] = newOb
elif ob.get("object","") == "load":
# Add to residential_loads too.
newOb = dict(loadTemplateR)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["load_class"] = ob.get("load_class", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage","")
newOb["latitude"] = ob.get("latitude","0")
newOb["longitude"] = ob.get("longitude","0")
try:
oldPow = ob.get("constant_power_A","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_A"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
try:
oldPow = ob.get("constant_power_B","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_B"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
try:
oldPow = ob.get("constant_power_C","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_C"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
tree[key] = newOb
# Convert swing bus to a meter.
for key in tree:
if tree[key].get('bustype','').lower() == 'swing' and tree[key].get('object','') != 'meter':
swingName = tree[key].get('name')
regIndex = key
tree[key]['object'] = 'meter'
# Search for the substation meter and attach a recorder there.
for key in tree:
if tree[key].get('bustype','').lower() == 'swing':
swingName = tree[key].get('name')
recOb = {"object": "recorder",
"parent": swingName,
"property": "measured_real_power,measured_reactive_power,measured_power",
"file": "caliSub.csv",
"interval": "900"}
outputRecorderKey = maxKey + 3
tree[outputRecorderKey] = recOb
feeder.adjustTime(tree, simLength, simLengthUnits, simStartDate['Date'].strftime("%Y-%m-%d %H:%M:%S"))
# Run Gridlabd, calculate scaling constant.
def runPowerflowIter(tree,scadaSubPower):
'''Runs powerflow once, then iterates.'''
# Run initial powerflow to get power.
print "Starting calibration."
print "Goal of calibration: Error: %s, Iterations: <%s, trim: %s"%(calibrateError[0], calibrateError[1], trim)
output = gridlabd.runInFilesystem(tree, keepFiles=True, workDir=pJoin(workDir,"gridlabD"))
outRealPow = output["caliSub.csv"]["measured_real_power"][trim:simLength]
outImagPower = output["caliSub.csv"]["measured_reactive_power"][trim:simLength]
outAppPowerKw = [(x[0]**2 + x[1]**2)**0.5/1000 for x in zip(outRealPow, outImagPower)]
lastFile = "subScada.player"
nextFile = "subScadaCalibrated.player"
nextPower = outAppPowerKw
error = (sum(outRealPow)/1000-sum(scadaSubPower))/sum(scadaSubPower)
iteration = 1
print "First error:", error
while abs(error)>calibrateError[0] and iteration<calibrateError[1]:
# Run calibration and iterate up to 5 times.
SCAL_CONST = sum(scadaSubPower)/sum(nextPower)
print "Calibrating & running again... Error: %s, Iteration: %s, SCAL_CONST: %s"%(str(round(abs(error*100),2)), str(iteration), round(SCAL_CONST,2))
newPlayData = []
with open(pJoin(pJoin(workDir,"gridlabD"), lastFile), "r") as playerFile:
for line in playerFile:
(key,val) = line.split(',')
newPlayData.append(str(key) + ',' + str(float(val)*SCAL_CONST) + "\n")
with open(pJoin(pJoin(workDir,"gridlabD"), nextFile), "w") as playerFile:
for row in newPlayData:
playerFile.write(row)
tree[playerKey]["file"] = nextFile
tree[outputRecorderKey]["file"] = "caliSubCheck.csv"
nextOutput = gridlabd.runInFilesystem(tree, keepFiles=True, workDir=pJoin(workDir,"gridlabD"))
outRealPowIter = nextOutput["caliSubCheck.csv"]["measured_real_power"][trim:simLength]
outImagPowerIter = nextOutput["caliSubCheck.csv"]["measured_reactive_power"][trim:simLength]
nextAppKw = [(x[0]**2 + x[1]**2)**0.5/1000
for x in zip(outRealPowIter, outImagPowerIter)]
lastFile = nextFile
nextFile = "subScadaCalibrated"+str(iteration)+".player"
nextPower = nextAppKw
# Compute error and iterate.
error = (sum(outRealPowIter)/1000-sum(scadaSubPower))/sum(scadaSubPower)
iteration+=1
else:
if iteration==1: outRealPowIter = outRealPow
print "Calibration done: Error: %s, Iteration: %s, SCAL_CONST: %s"%(str(round(abs(error*100),2)), str(iteration), round(SCAL_CONST,2))
return outRealPow, outRealPowIter, lastFile, iteration
outRealPow, outRealPowIter, lastFile, iteration = runPowerflowIter(tree,scadaSubPower[trim:simLength])
caliPowVectors = [[float(element) for element in scadaSubPower[trim:simLength]], [float(element)/1000 for element in outRealPow], [float(element)/1000 for element in outRealPowIter]]
labels = ["scadaSubPower","initialGuess","finalGuess"]
colors = ['red','lightblue','blue']
chartData = {"Title":"Substation Calibration Check (Iterated "+str(iteration+1)+"X)", "fileName":"caliCheckPlot", "colors":colors,"labels":labels, "timeZone":simStartDate['timeZone']}
print "Len:", len(caliPowVectors[0]), len(caliPowVectors[1]), len(caliPowVectors[2])
plotLine(workDir, caliPowVectors, chartData, simStartDate['Date']+dt.timedelta(hours=trim), simLengthUnits)
# Write the final output.
with open(pJoin(workDir,"calibratedFeeder.omd"),"w") as outJson:
playerString = open(pJoin(pJoin(workDir,"gridlabD"),lastFile)).read()
feederJson["attachments"][lastFile] = playerString
feederJson["tree"] = tree
json.dump(feederJson, outJson, indent=4)
return
def omfCalibrate(workDir,
feederPath,
scadaPath,
simStartDate,
simLength,
simLengthUnits,
solver="FBS",
calibrateError=(0.05, 5),
trim=5):
'''calibrates a feeder and saves the calibrated tree at a location.
Note: feeders with cap banks should be calibrated with cap banks OPEN.
We have seen cap banks throw off calibration.'''
with open(feederPath, "r") as jsonIn:
feederJson = json.load(jsonIn)
tree = feederJson.get("tree", {})
simLength = simLength + trim
# Process scada data.
scadaSubPower = _processScadaData(pJoin(workDir, "gridlabD"), scadaPath,
simStartDate, simLengthUnits)
# Load specified solver.
for key in tree:
if tree[key].get("module", "").lower() == "powerflow":
tree[key] = {"module": "powerflow", "solver_method": solver}
# Attach player.
classOb = {'omftype': 'class player', 'argument': '{double value;}'}
playerOb = {
"object": "player",
"property": "value",
"name": "scadaLoads",
"file": "subScada.player",
"loop": "0"
}
maxKey = feeder.getMaxKey(tree)
playerKey = maxKey + 2
tree[maxKey + 1] = classOb
tree[playerKey] = playerOb
# Make loads reference player.
loadTemplate = {
"object": "triplex_load",
"power_pf_12": "0.95",
"impedance_pf_12": "0.98",
"power_pf_12": "0.90",
"impedance_fraction_12": "0.7",
"power_fraction_12": "0.3"
}
loadTemplateR = {
"object": "load",
"impedance_pf_A": "0.98",
"impedance_pf_B": "0.98",
"impedance_pf_C": "0.98",
"power_pf_A": "0.90",
"power_pf_B": "0.90",
"power_pf_C": "0.90",
"impedance_fraction_A": "0.7",
"impedance_fraction_B": "0.7",
"impedance_fraction_C": "0.7",
"power_fraction_A": "0.3",
"power_fraction_B": "0.3",
"power_fraction_C": "0.3"
}
for key in tree:
ob = tree[key]
if ob.get("object", "") in ("triplex_node", "triplex_load") and (
ob.get("power_12") or ob.get("base_power_12")):
# Add to triplex_nodes.
newOb = dict(loadTemplate)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage", "")
newOb["latitude"] = ob.get("latitude", "0")
newOb["longitude"] = ob.get("longitude", "0")
oldPow = ob.get("power_12", "").replace("j", "d")
if not oldPow:
oldPow = ob.get("base_power_12")
if "scadaloads.value*" in oldPow:
oldPow = oldPow[17:]
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_12"] = "scadaLoads.value*" + str(pythagPower)
tree[key] = newOb
elif ob.get("object", "") == "load":
# Add to residential_loads too.
newOb = dict(loadTemplateR)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["load_class"] = ob.get("load_class", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage", "")
newOb["latitude"] = ob.get("latitude", "0")
newOb["longitude"] = ob.get("longitude", "0")
try:
oldPow = ob.get("constant_power_A", "").replace("j", "d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_A"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
try:
oldPow = ob.get("constant_power_B", "").replace("j", "d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_B"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
try:
oldPow = ob.get("constant_power_C", "").replace("j", "d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_C"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
tree[key] = newOb
# Convert swing bus to a meter.
for key in tree:
if tree[key].get('bustype', '').lower() == 'swing' and tree[key].get(
'object', '') != 'meter':
swingName = tree[key].get('name')
regIndex = key
tree[key]['object'] = 'meter'
# Search for the substation meter and attach a recorder there.
for key in tree:
if tree[key].get('bustype', '').lower() == 'swing':
swingName = tree[key].get('name')
recOb = {
"object": "recorder",
"parent": swingName,
"property":
"measured_real_power,measured_reactive_power,measured_power",
"file": "caliSub.csv",
"interval": "3600"
}
outputRecorderKey = maxKey + 3
tree[outputRecorderKey] = recOb
feeder.adjustTime(tree, simLength, simLengthUnits,
simStartDate['Date'].strftime("%Y-%m-%d %H:%M:%S"))
# Run Gridlabd, calculate scaling constant.
def runPowerflowIter(tree, scadaSubPower):
'''Runs powerflow once, then iterates.'''
# Run initial powerflow to get power.
print "Starting calibration."
print "Goal of calibration: Error: %s, Iterations: <%s, trim: %s" % (
calibrateError[0], calibrateError[1], trim)
output = gridlabd.runInFilesystem(tree,
keepFiles=True,
workDir=pJoin(workDir, "gridlabD"))
outRealPow = output["caliSub.csv"]["measured_real_power"][
trim:simLength]
outImagPower = output["caliSub.csv"]["measured_reactive_power"][
trim:simLength]
outAppPowerKw = [(x[0]**2 + x[1]**2)**0.5 / 1000
for x in zip(outRealPow, outImagPower)]
lastFile = "subScada.player"
nextFile = "subScadaCalibrated.player"
nextPower = outAppPowerKw
error = (sum(outRealPow) / 1000 -
sum(scadaSubPower)) / sum(scadaSubPower)
iteration = 1
print "First error:", error
while abs(error) > calibrateError[0] and iteration < calibrateError[1]:
# Run calibration and iterate up to 5 times.
SCAL_CONST = sum(scadaSubPower) / sum(nextPower)
print "Calibrating & running again... Error: %s, Iteration: %s, SCAL_CONST: %s" % (
str(round(abs(error * 100),
6)), str(iteration), round(SCAL_CONST, 6))
newPlayData = []
with open(pJoin(pJoin(workDir, "gridlabD"), lastFile),
"r") as playerFile:
for line in playerFile:
(key, val) = line.split(',')
newPlayData.append(
str(key) + ',' + str(float(val) * SCAL_CONST) + "\n")
with open(pJoin(pJoin(workDir, "gridlabD"), nextFile),
"w") as playerFile:
for row in newPlayData:
playerFile.write(row)
tree[playerKey]["file"] = nextFile
tree[outputRecorderKey]["file"] = "caliSubCheck.csv"
nextOutput = gridlabd.runInFilesystem(tree,
keepFiles=True,
workDir=pJoin(
workDir, "gridlabD"))
outRealPowIter = nextOutput["caliSubCheck.csv"][
"measured_real_power"][trim:simLength]
outImagPowerIter = nextOutput["caliSubCheck.csv"][
"measured_reactive_power"][trim:simLength]
nextAppKw = [(x[0]**2 + x[1]**2)**0.5 / 1000
for x in zip(outRealPowIter, outImagPowerIter)]
lastFile = nextFile
nextFile = "subScadaCalibrated" + str(iteration) + ".player"
nextPower = nextAppKw
# Compute error and iterate.
error = (sum(outRealPowIter) / 1000 -
sum(scadaSubPower)) / sum(scadaSubPower)
iteration += 1
else:
if iteration == 1: outRealPowIter = outRealPow
SCAL_CONST = 1.0
print "Calibration done: Error: %s, Iteration: %s, SCAL_CONST: %s" % (
str(round(abs(error * 100),
2)), str(iteration), round(SCAL_CONST, 2))
return outRealPow, outRealPowIter, lastFile, iteration
outRealPow, outRealPowIter, lastFile, iteration = runPowerflowIter(
tree, scadaSubPower[trim:simLength])
caliPowVectors = [[
float(element) for element in scadaSubPower[trim:simLength]
], [float(element) / 1000 for element in outRealPow],
[float(element) / 1000 for element in outRealPowIter]]
labels = ["scadaSubPower", "initialGuess", "finalGuess"]
colors = ['red', 'lightblue', 'blue']
chartData = {
"Title":
"Substation Calibration Check (Iterated " + str(iteration + 1) + "X)",
"fileName": "caliCheckPlot",
"colors": colors,
"labels": labels,
"timeZone": simStartDate['timeZone']
}
# Trimming vectors to make them all the same length as the smallest vector
minCaliPowVecLen = min(len(caliPowVectors[0]), len(caliPowVectors[1]),
len(caliPowVectors[2]))
caliPowVectors[0] = caliPowVectors[0][:minCaliPowVecLen]
caliPowVectors[1] = caliPowVectors[1][:minCaliPowVecLen]
caliPowVectors[2] = caliPowVectors[2][:minCaliPowVecLen]
print "Len:", len(caliPowVectors[0]), len(caliPowVectors[1]), len(
caliPowVectors[2])
plotLine(workDir, caliPowVectors, chartData,
simStartDate['Date'] + dt.timedelta(hours=trim), simLengthUnits)
# Write the final output.
with open(pJoin(workDir, "calibratedFeeder.omd"), "w") as outJson:
playerString = open(pJoin(pJoin(workDir, "gridlabD"), lastFile)).read()
feederJson["attachments"][lastFile] = playerString
feederJson["tree"] = tree
json.dump(feederJson, outJson, indent=4)
return
def omfCalibrate(workDir, feederPath, scadaPath, simStartDate, simLength, calibrateError=0.05):
'''calibrates a feeder and saves the calibrated tree at a location'''
with open(feederPath, "r") as jsonIn:
feederJson = json.load(jsonIn)
tree = feederJson.get("tree", {})
# Process scada data.
gridlabdDir = pJoin(workDir,"gridlabD")
scadaSubPower = _processScadaData(gridlabdDir,scadaPath, simStartDate)
# Force FBS powerflow, because NR fails a lot.
for key in tree:
if tree[key].get("module","").lower() == "powerflow":
tree[key] = {"module":"powerflow","solver_method":"FBS"}
# Attach player.
classOb = {'omftype':'class player','argument':'{double value;}'}
playerOb = {"object":"player", "property":"value", "name":"scadaLoads", "file":"subScada.player", "loop":"0"}
maxKey = feeder.getMaxKey(tree)
playerKey = maxKey + 2
tree[maxKey+1] = classOb
tree[playerKey] = playerOb
# Make loads reference player.
loadTemplate = {"object": "triplex_load",
"power_pf_12": "0.95",
"impedance_pf_12": "0.98",
"power_pf_12": "0.90",
"impedance_fraction_12": "0.7",
"power_fraction_12": "0.3"}
loadTemplateR = {"object": "load",
"impedance_pf_A": "0.98",
"impedance_pf_B": "0.98",
"impedance_pf_C": "0.98",
"power_pf_A": "0.90",
"power_pf_B": "0.90",
"power_pf_C": "0.90",
"impedance_fraction_A": "0.7",
"impedance_fraction_B": "0.7",
"impedance_fraction_C": "0.7",
"power_fraction_A": "0.3",
"power_fraction_B": "0.3",
"power_fraction_C": "0.3"}
for key in tree:
ob = tree[key]
if ob.get("object","") == "triplex_node" and ob.get("power_12","") != "":
# Add to triplex_nodes.
newOb = dict(loadTemplate)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage","")
newOb["latitude"] = ob.get("latitude","0")
newOb["longitude"] = ob.get("longitude","0")
oldPow = ob.get("power_12","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_12"] = "scadaLoads.value*" + str(pythagPower)
tree[key] = newOb
elif ob.get("object","") == "load":
# Add to residential_loads too.
newOb = dict(loadTemplateR)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["load_class"] = ob.get("load_class", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage","")
newOb["latitude"] = ob.get("latitude","0")
newOb["longitude"] = ob.get("longitude","0")
try:
oldPow = ob.get("constant_power_A","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_A"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
try:
oldPow = ob.get("constant_power_B","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_B"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
try:
oldPow = ob.get("constant_power_C","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_C"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
tree[key] = newOb
# Convert swing bus to a meter.
for key in tree:
if tree[key].get('bustype','').lower() == 'swing' and tree[key].get('object','') != 'meter':
swingName = tree[key].get('name')
regIndex = key
tree[key]['object'] = 'meter'
# Search for the substation meter and attach a recorder there.
for key in tree:
if tree[key].get('bustype','').lower() == 'swing':
swingName = tree[key].get('name')
recOb = {"object": "recorder",
"parent": swingName,
"property": "measured_real_power,measured_reactive_power,measured_power",
"file": "caliSub.csv",
"interval": "900"}
outputRecorderKey = maxKey + 3
tree[outputRecorderKey] = recOb
feeder.adjustTime(tree, simLength, "hours", simStartDate['Date'].strftime("%Y-%m-%d %H:%M:%S"))
# Run Gridlabd, calculate scaling constant.
def runPowerflowIter(tree,scadaSubPower):
'''Runs powerflow once, then iterates.'''
# Run initial powerflow to get power.
print "Running initial calibration powerflow."
output = gridlabd.runInFilesystem(tree, keepFiles=True, workDir=gridlabdDir)
outRealPow = output["caliSub.csv"]["measured_real_power"]
outImagPower = output["caliSub.csv"]["measured_reactive_power"]
outAppPowerKw = [(x[0]**2 + x[1]**2)**0.5/1000 for x in zip(outRealPow, outImagPower)]
lastFile = "subScada.player"
nextFile = "subScadaCalibrated.player"
nextPower = outAppPowerKw
error = (sum(outRealPow[1:simLength])/1000-sum(scadaSubPower[1:simLength]))/sum(scadaSubPower[1:simLength])
iteration = 1
while abs(error)>calibrateError and iteration<5:
# Run calibration and iterate up to 5 times.
SCAL_CONST = sum(scadaSubPower[1:simLength])/sum(nextPower[1:simLength])
print "Calibrating loads, running powerflow again. Our SCAL_CONST is: ", SCAL_CONST
newPlayData = []
with open(pJoin(gridlabdDir, lastFile), "r") as playerFile:
for line in playerFile:
(key,val) = line.split(',')
newPlayData.append(str(key) + ',' + str(float(val)*SCAL_CONST) + "\n")
with open(pJoin(gridlabdDir, nextFile), "w") as playerFile:
for row in newPlayData:
playerFile.write(row)
tree[playerKey]["file"] = nextFile
tree[outputRecorderKey]["file"] = "caliSubCheck.csv"
nextOutput = gridlabd.runInFilesystem(tree, keepFiles=True, workDir=gridlabdDir)
outRealPowIter = nextOutput["caliSubCheck.csv"]["measured_real_power"]
outImagPowerIter = nextOutput["caliSubCheck.csv"]["measured_reactive_power"]
nextAppKw = [(x[0]**2 + x[1]**2)**0.5/1000
for x in zip(outRealPowIter, outImagPowerIter)]
lastFile = nextFile
nextFile = "subScadaCalibrated"+str(iteration)+".player"
nextPower = nextAppKw
# Compute error and iterate.
error = (sum(outRealPowIter[1:simLength])/1000-sum(scadaSubPower[1:simLength]))/sum(scadaSubPower[1:simLength])
iteration+=1
print "Error:", abs(error*100), "% Iteration:", iteration
return outRealPow, outRealPowIter, lastFile, iteration
outRealPow, outRealPowIter, lastFile, iteration = runPowerflowIter(tree,scadaSubPower)
caliPowVectors = [[float(element) for element in scadaSubPower[1:simLength]], [float(element)/1000 for element in outRealPow[1:simLength]], [float(element)/1000 for element in outRealPowIter[1:simLength]]]
labels = ["scadaSubPower","initialGuess","finalGuess"]
colors = ['red','lightblue','blue']
chartData = {"Title":"Substation Calibration Check (Iterated "+str(iteration+1)+"X)", "fileName":"caliCheckPlot", "colors":colors,"labels":labels, "timeZone":simStartDate['timeZone']}
plotLine(workDir, caliPowVectors, chartData, simStartDate['Date']+dt.timedelta(hours=1), 'hours')
# Write the final output.
with open(pJoin(workDir,"calibratedFeeder.json"),"w") as outJson:
playerString = open(pJoin(gridlabdDir,lastFile)).read()
feederJson["attachments"][lastFile] = playerString
feederJson["tree"] = tree
json.dump(feederJson, outJson, indent=4)
return
def omfCalibrate(workDir, feederPath, scadaPath, simStartDate, simLength):
'''calibrates a feeder and saves the calibrated tree at a location'''
with open(feederPath, "r") as jsonIn:
feederJson = json.load(jsonIn)
tree = feederJson.get("tree", {})
# Process scada data.
gridlabdDir = pJoin(workDir,"gridlabD")
scadaSubPower = _processScadaData(gridlabdDir,scadaPath, simStartDate)
# Force FBS powerflow, because NR fails a lot.
for key in tree:
if tree[key].get("module","").lower() == "powerflow":
tree[key] = {"module":"powerflow","solver_method":"FBS"}
# Attach player.
classOb = {'omftype':'class player','argument':'{double value;}'}
playerOb = {"object":"player", "property":"value", "name":"scadaLoads", "file":"subScada.player", "loop":"0"}
maxKey = feeder.getMaxKey(tree)
playerKey = maxKey + 2
tree[maxKey+1] = classOb
tree[playerKey] = playerOb
# Make loads reference player.
loadTemplate = {"object": "triplex_load",
"power_pf_12": "0.95",
"impedance_pf_12": "0.98",
"power_pf_12": "0.90",
"impedance_fraction_12": "0.7",
"power_fraction_12": "0.3"}
loadTemplateR = {"object": "load",
"impedance_pf_A": "0.98",
"impedance_pf_B": "0.98",
"impedance_pf_C": "0.98",
"power_pf_A": "0.90",
"power_pf_B": "0.90",
"power_pf_C": "0.90",
"impedance_fraction_A": "0.7",
"impedance_fraction_B": "0.7",
"impedance_fraction_C": "0.7",
"power_fraction_A": "0.3",
"power_fraction_B": "0.3",
"power_fraction_C": "0.3"}
for key in tree:
ob = tree[key]
if ob.get("object","") == "triplex_node" and ob.get("power_12","") != "":
# Add to triplex_nodes.
newOb = dict(loadTemplate)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage","")
newOb["latitude"] = ob.get("latitude","0")
newOb["longitude"] = ob.get("longitude","0")
oldPow = ob.get("power_12","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_12"] = "scadaLoads.value*" + str(pythagPower)
tree[key] = newOb
elif ob.get("object","") == "load":
# Add to residential_loads too.
newOb = dict(loadTemplateR)
newOb["name"] = ob.get("name", "")
newOb["parent"] = ob.get("parent", "")
newOb["phases"] = ob.get("phases", "")
newOb["load_class"] = ob.get("load_class", "")
newOb["nominal_voltage"] = ob.get("nominal_voltage","")
newOb["latitude"] = ob.get("latitude","0")
newOb["longitude"] = ob.get("longitude","0")
try:
oldPow = ob.get("constant_power_A","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_A"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
try:
oldPow = ob.get("constant_power_B","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_B"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
try:
oldPow = ob.get("constant_power_C","").replace("j","d")
pythagPower = gridlabd._strClean(oldPow)
newOb["base_power_C"] = "scadaLoads.value*" + str(pythagPower)
except:
pass
tree[key] = newOb
# Convert swing bus to a meter.
for key in tree:
if tree[key].get('bustype','').lower() == 'swing' and tree[key].get('object','') != 'meter':
swingName = tree[key].get('name')
regIndex = key
tree[key]['object'] = 'meter'
# Search for the substation meter and attach a recorder there.
for key in tree:
if tree[key].get('bustype','').lower() == 'swing':
swingName = tree[key].get('name')
recOb = {"object": "recorder",
"parent": swingName,
"property": "measured_real_power,measured_reactive_power,measured_power",
"file": "caliSub.csv",
"interval": "900"}
outputRecorderKey = maxKey + 3
tree[outputRecorderKey] = recOb
feeder.adjustTime(tree, simLength, "hours", simStartDate['Date'].strftime("%Y-%m-%d %H:%M:%S"))
# Run Gridlabd, calculate scaling constant.
def runPowerflowIter(tree,scadaSubPower, iterationTimes):
'''Runs powerflow once, then iterates.'''
print "Running calibration powerflow #1."
output = gridlabd.runInFilesystem(tree, keepFiles=True, workDir=gridlabdDir)
outRealPow = output["caliSub.csv"]["measured_real_power"]
outImagPower = output["caliSub.csv"]["measured_reactive_power"]
outAppPowerKw = [(x[0]**2 + x[1]**2)**0.5/1000 for x in zip(outRealPow, outImagPower)]
lastFile = "subScada.player"
nextFile = "subScadaCalibrated.player"
nextPower = outAppPowerKw
for i in range(1, iterationTimes+1):
SCAL_CONST = sum(scadaSubPower[1:simLength])/sum(nextPower[1:simLength])
print "Running calibration powerflow (iteration", str(i+1), "of", iterationTimes+1,") (SCAL_CONST: ", SCAL_CONST,")"
newPlayData = []
with open(pJoin(gridlabdDir, lastFile), "r") as playerFile:
for line in playerFile:
(key,val) = line.split(',')
newPlayData.append(str(key) + ',' + str(float(val)*SCAL_CONST) + "\n")
with open(pJoin(gridlabdDir, nextFile), "w") as playerFile:
for row in newPlayData:
playerFile.write(row)
tree[playerKey]["file"] = nextFile
tree[outputRecorderKey]["file"] = "caliSubCheck.csv"
nextOutput = gridlabd.runInFilesystem(tree, keepFiles=True, workDir=gridlabdDir)
outRealPow2nd = nextOutput["caliSubCheck.csv"]["measured_real_power"]
outImagPower2nd = nextOutput["caliSubCheck.csv"]["measured_reactive_power"]
nextAppKw = [(x[0]**2 + x[1]**2)**0.5/1000
for x in zip(outRealPow2nd, outImagPower2nd)]
lastFile = nextFile
nextFile = "subScadaCalibrated"+str(i)+".player"
nextPower = outAppPowerKw
return outRealPow, outRealPow2nd, lastFile
iterationTimes = 1
outRealPow, outRealPow2nd, lastFile = runPowerflowIter(tree,scadaSubPower,iterationTimes)
caliPowVectors = [[float(element) for element in scadaSubPower[1:simLength]], [float(element)/1000 for element in outRealPow[1:simLength]], [float(element)/1000 for element in outRealPow2nd[1:simLength]]]
labels = ["scadaSubPower","initialGuess","finalGuess"]
colors = ['red','lightblue','blue']
chartData = {"Title":"Substation Calibration Check (Iterated "+str(iterationTimes+1)+"X)", "fileName":"caliCheckPlot", "colors":colors,"labels":labels, "timeZone":simStartDate['timeZone']}
plotLine(workDir, caliPowVectors, chartData, simStartDate['Date']+dt.timedelta(hours=1), 'hours')
# Write the final output.
with open(pJoin(workDir,"calibratedFeeder.json"),"w") as outJson:
playerString = open(pJoin(gridlabdDir,lastFile)).read()
feederJson["attachments"][lastFile] = playerString
feederJson["tree"] = tree
json.dump(feederJson, outJson, indent=4)
return