def test_load_matpower(self):
""" Test loading a MATPOWER data file.
"""
case = Case.load(MP_DATA_FILE, "matpower")
self.assertEqual(len(case.generators), 3)
self.assertTrue(isinstance(case, Case))
def test_infer_matpower_format(self):
""" Test inference of MATPOWER format from file extension.
"""
case = Case.load(MP_DATA_FILE) # Format not specified.
self.assertEqual(len(case.generators), 3)
self.assertTrue(isinstance(case, Case))
def test_infer_matpower_format(self):
""" Test inference of MATPOWER format from file extension.
"""
case = Case.load(MP_DATA_FILE) # Format not specified.
self.assertEqual(len(case.generators), 3)
self.assertTrue(isinstance(case, Case))
def test_load_matpower(self):
""" Test loading a MATPOWER data file.
"""
case = Case.load(MP_DATA_FILE, "matpower")
self.assertEqual(len(case.generators), 3)
self.assertTrue(isinstance(case, Case))
def setUp(self):
""" The test runner will execute this method prior to each test.
"""
self.case = Case.load(join(DATA_DIR, self.case_name,
self.case_name + ".pkl"))
self.case.sort_generators() # ext2int
self.opf = OPF(self.case, dc=False)
self.om = self.opf._construct_opf_model(self.case)
self.solver = PIPSSolver(self.om)
def setUp(self):
""" The test runner will execute this method prior to each test.
"""
self.case = Case.load(DATA_FILE)
generators = self.case.generators
self.offers = [
Offer(generators[0], 12.0, 20.0),
Offer(generators[0], 24.0, 50.0),
Offer(generators[0], 24.0, 60.0),
Offer(generators[1], 12.0, 20.0),
Offer(generators[1], 24.0, 40.0),
Offer(generators[1], 24.0, 70.0),
Offer(generators[2], 12.0, 20.0),
Offer(generators[2], 24.0, 42.0),
Offer(generators[2], 24.0, 80.0),
Offer(generators[3], 12.0, 20.0),
Offer(generators[3], 24.0, 44.0),
Offer(generators[3], 24.0, 90.0),
Offer(generators[4], 12.0, 20.0),
Offer(generators[4], 24.0, 46.0),
Offer(generators[4], 24.0, 75.0),
Offer(generators[5], 12.0, 20.0),
Offer(generators[5], 24.0, 48.0),
Offer(generators[5], 24.0, 60.0)
]
self.bids = [
Bid(generators[6], 10.0, 100.0),
Bid(generators[6], 10.0, 70.0),
Bid(generators[6], 10.0, 60.0),
Bid(generators[7], 10.0, 100.0),
Bid(generators[7], 10.0, 50.0),
Bid(generators[7], 10.0, 20.0),
Bid(generators[8], 10.0, 100.0),
Bid(generators[8], 10.0, 60.0),
Bid(generators[8], 10.0, 50.0)
]
self.mkt = SmartMarket(self.case, self.offers, self.bids,
locationalAdjustment='dc', auctionType=FIRST_PRICE, priceCap=100.0)
def setUp(self):
""" The test runner will execute this method prior to each test.
"""
self.case = Case.load(DATA_FILE)
generators = self.case.generators
self.offers = [
Offer(generators[0], 12.0, 20.0),
Offer(generators[0], 24.0, 50.0),
Offer(generators[0], 24.0, 60.0),
Offer(generators[1], 12.0, 20.0),
Offer(generators[1], 24.0, 40.0),
Offer(generators[1], 24.0, 70.0),
Offer(generators[2], 12.0, 20.0),
Offer(generators[2], 24.0, 42.0),
Offer(generators[2], 24.0, 80.0),
Offer(generators[3], 12.0, 20.0),
Offer(generators[3], 24.0, 44.0),
Offer(generators[3], 24.0, 90.0),
Offer(generators[4], 12.0, 20.0),
Offer(generators[4], 24.0, 46.0),
Offer(generators[4], 24.0, 75.0),
Offer(generators[5], 12.0, 20.0),
Offer(generators[5], 24.0, 48.0),
Offer(generators[5], 24.0, 60.0)
]
self.bids = [
Bid(generators[6], 10.0, 100.0),
Bid(generators[6], 10.0, 70.0),
Bid(generators[6], 10.0, 60.0),
Bid(generators[7], 10.0, 100.0),
Bid(generators[7], 10.0, 50.0),
Bid(generators[7], 10.0, 20.0),
Bid(generators[8], 10.0, 100.0),
Bid(generators[8], 10.0, 60.0),
Bid(generators[8], 10.0, 50.0)
]
self.mkt = SmartMarket(self.case,
self.offers,
self.bids,
locationalAdjustment='dc',
auctionType=FIRST_PRICE,
priceCap=100.0)
""" This example demonstrates how to solve an OPF problem. """
import sys
import logging
from os.path import join, dirname
import pylon.case
from pylon import Case, OPF
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
# Define a path to the data file.
CASE_FILE = join(dirname(pylon.case.__file__), "test", "data", "case30pwl",
"case30pwl.pkl")
# Load the data file.
case = Case.load(CASE_FILE)
case.generators[2].pwl_to_poly()
# Use DC formulation?
dc = False
# Solve DC optimal power flow.
OPF(case, dc, opt={"verbose": True}).solve()
# Print a report to screen.
case.save_rst(sys.stdout)
def setUp(self):
""" The test runner will execute this method prior to each test.
"""
self.case = Case.load(join(DATA_DIR, self.case_name,
self.case_name + ".pkl"))
def setUp(self):
""" The test runner will execute this method prior to each test.
"""
self.case = Case.load(POLY_FILE)
self.opf = OPF(self.case)
def getPickledCase():
""" Returns a test power system case.
"""
# Read case from data file.
return Case.load(DATA_FILE)
def getPickledCase():
""" Returns a test power system case.
"""
# Read case from data file.
return Case.load(DATA_FILE)
__author__ = 'Richard Lincoln, [email protected]' """ This example demonstrates profiling an OPF problem. """ from os.path import join, dirname import cProfile import pstats import pylon.case from pylon import Case, OPF #@UnusedImport # Define a path to the data file. CASE_FILE = join(dirname(pylon.case.__file__), "test", "data", "case30pwl.pkl") # Load the data file. case = Case.load(CASE_FILE) cProfile.run("OPF(case, dc=False, opt={'verbose': True}).solve()", "opf_prof") p = pstats.Stats("opf_prof") #p.sort_stats('name').print_stats() p.sort_stats('cumulative').print_stats(20) #p.sort_stats('time').print_stats(20) #p.sort_stats('time', 'cum').print_stats(.5, 'init')
def setUp(self):
""" The test runner will execute this method prior to each test.
"""
self.case = Case.load(join(DATA_DIR, self.case_name, self.case_name + ".pkl"))
from pylon import Case, OPF
from pybrain.rl.agents import LearningAgent
from pybrain.rl.learners import ENAC, Reinforce
from pybrain.tools.shortcuts import buildNetwork
from pybrain.tools.plotting import MultilinePlotter
from pybrain.structure import TanhLayer, LinearLayer #@UnusedImport
logger = logging.getLogger()
for handler in logger.handlers: logger.removeHandler(handler)
logger.addHandler(logging.StreamHandler(sys.stdout))
logger.setLevel(logging.DEBUG)
# Saved case formats are recognised by file extension.
case = Case.load("../data/case6ww.pkl")
#case.generators[0].p_cost = (0.0, 9.0, 200.0)
#case.generators[1].p_cost = (0.0, 2.0, 200.0)
#case.generators[2].p_cost = (0.0, 5.0, 200.0)
case.generators[0].p_cost = (0.0, 5.0, 200.0)
case.generators[1].p_cost = (0.0, 7.0, 200.0)
case.generators[2].p_cost = (0.0, 2.0, 200.0)
case.generators[0].c_shutdown = 100.0
case.generators[0].p_max = 100.0
case.generators[1].p_max = 70.0
case.generators[2].p_max = 70.0