def load_state():
storage = get_storage()
user_config.update(storage['configuration'].to_dict())
# set up the times
startidx = int(storage['times'][0].strip('t'))
times = TimeIndex(storage['times'].index, startidx)
intervalhrs = (times.strings.index[1] -
times.strings.index[0]).total_seconds() / 3600.0
times._int_division = user_config.hours_commitment / intervalhrs
times._int_overlap = user_config.hours_overlap / intervalhrs
if len(times) <= times._int_division:
# dont set overlap for last stage
times._int_overlap = 0
# create power_system
power_system, times, scenario_tree = parse_standalone(storage, times)
generators = power_system.generators()
# set up initial state
t = times.initialTime
status = correct_status(storage['status']).ix[t]
for gen in generators:
g = str(gen)
gen.set_initial_condition(power=storage['power'][g][t],
status=status[g],
hoursinstatus=storage['hrsinstatus'][g][t])
return power_system, times, scenario_tree
def load_state():
storage = get_storage()
user_config.update(storage['configuration'].to_dict())
# set up the times
startidx = int(storage['times'][0].strip('t'))
times = TimeIndex(storage['times'].index, startidx)
intervalhrs = (times.strings.index[1] - times.strings.index[0]
).total_seconds() / 3600.0
times._int_division = user_config.hours_commitment / intervalhrs
times._int_overlap = user_config.hours_overlap / intervalhrs
if len(times) <= times._int_division:
# dont set overlap for last stage
times._int_overlap = 0
# create power_system
power_system, times, scenario_tree = parse_standalone(storage, times)
generators = power_system.generators()
# set up initial state
t = times.initialTime
status = correct_status(storage['status']).ix[t]
for gen in generators:
g = str(gen)
gen.set_initial_condition(
power=storage['power'][g][t],
status=status[g],
hoursinstatus=storage['hrsinstatus'][g][t])
return power_system, times, scenario_tree
def solve_problem(
datadir='.',
shell=True,
problemfile=False,
csv=True,
):
"""
Solve a optimization problem specified by spreadsheets in a directory.
Read in data, create and solve the problem, and return solution.
The problem type is determined by the data.
All options are set within `user_config`.
"""
user_config.directory = datadir
pid = user_config.pid if user_config.pid else os.getpid()
_set_store_filename(pid)
_setup_logging(pid)
if user_config.standalone_restart:
store = get_storage()
debugger = user_config.debugger # preserve debugger state
user_config.update(store['configuration'])
user_config.debugger = debugger
user_config.standalone_restart = True # preserve restart state
store.close()
logging.debug(dict(user_config))
start_time = timer.time()
logging.debug('Minpower reading {}'.format(datadir))
generators, loads, lines, times, scenario_tree, data = get_data.parsedir()
logging.debug('data read')
power_system = powersystems.PowerSystem(generators, loads, lines)
logging.debug('power system initialized')
if times.spanhrs <= user_config.hours_commitment + user_config.hours_overlap:
solution = create_solve_problem(power_system, times, scenario_tree)
else: # split into multiple stages and solve
if user_config.standalone:
stage_solutions, stage_times = solve_multistage_standalone(
power_system, times, scenario_tree, data)
else:
stage_solutions, stage_times = solve_multistage(
power_system, times, scenario_tree, data)
solution = results.make_multistage_solution(power_system, stage_times,
stage_solutions)
if shell:
if user_config.output_prefix or user_config.pid:
stdout = sys.stdout
sys.stdout = StreamToLogger()
solution.show()
sys.stdout = stdout
solution.show()
if csv and not user_config.standalone:
solution.saveCSV()
if user_config.visualization:
solution.visualization()
logging.info('total time: {}s'.format(timer.time() - start_time))
if user_config.on_complete_script:
os.system(user_config.on_complete_script)
return solution
def solve_problem(datadir='.',
shell=True,
problemfile=False,
csv=True,
):
"""
Solve a optimization problem specified by spreadsheets in a directory.
Read in data, create and solve the problem, and return solution.
The problem type is determined by the data.
All options are set within `user_config`.
"""
user_config.directory = datadir
pid = user_config.pid if user_config.pid else os.getpid()
_set_store_filename(pid)
_setup_logging(pid)
if user_config.standalone_restart:
store = get_storage()
debugger = user_config.debugger # preserve debugger state
user_config.update(store['configuration'])
user_config.debugger = debugger
user_config.standalone_restart = True # preserve restart state
store.close()
logging.debug(dict(user_config))
start_time = timer.time()
logging.debug('Minpower reading {}'.format(datadir))
generators, loads, lines, times, scenario_tree, data = get_data.parsedir()
logging.debug('data read')
power_system = powersystems.PowerSystem(generators,loads,lines)
logging.debug('power system initialized')
if times.spanhrs <= user_config.hours_commitment + user_config.hours_overlap:
solution = create_solve_problem(power_system, times, scenario_tree)
else: #split into multiple stages and solve
if user_config.standalone:
stage_solutions, stage_times = solve_multistage_standalone(
power_system, times, scenario_tree, data)
else:
stage_solutions, stage_times = solve_multistage(
power_system, times, scenario_tree, data)
solution = results.make_multistage_solution(
power_system, stage_times, stage_solutions)
if shell:
if user_config.output_prefix or user_config.pid:
stdout = sys.stdout
sys.stdout = StreamToLogger()
solution.show()
sys.stdout = stdout
solution.show()
if csv and not user_config.standalone: solution.saveCSV()
if user_config.visualization: solution.visualization()
logging.info('total time: {}s'.format(timer.time()-start_time))
if user_config.on_complete_script:
os.system(user_config.on_complete_script)
return solution