def main(max_ts, ENV_NAME, test=True):
backend = LightSimBackend()
param = Parameters()
param.init_from_dict({"NO_OVERFLOW_DISCONNECTION": True})
env_klu = make(ENV_NAME,
backend=backend,
param=param,
test=test,
data_feeding_kwargs={"gridvalueClass": GridStateFromFile})
agent = DoNothingAgent(action_space=env_klu.action_space)
nb_ts_klu, time_klu, aor_klu, gen_p_klu, gen_q_klu = run_env(env_klu,
max_ts,
agent,
chron_id=0)
env_pp = make(ENV_NAME,
param=param,
test=test,
data_feeding_kwargs={"gridvalueClass": GridStateFromFile})
agent = DoNothingAgent(action_space=env_pp.action_space)
nb_ts_pp, time_pp, aor_pp, gen_p_pp, gen_q_pp = run_env(env_pp,
max_ts,
agent,
chron_id=0)
print_res(env_klu, env_pp, nb_ts_klu, nb_ts_pp, time_klu, time_pp, aor_klu,
aor_pp, gen_p_klu, gen_p_pp, gen_q_klu, gen_q_pp)
def main(max_ts, name):
backend = LightSimBackend()
param = Parameters()
param.init_from_dict({"NO_OVERFLOW_DISCONNECTION": True})
env_klu = make(
name,
backend=backend,
param=param,
gamerules_class=AlwaysLegal,
test=True,
data_feeding_kwargs={"gridvalueClass": GridStateFromFileWithForecasts})
agent = PowerLineSwitch(action_space=env_klu.action_space)
nb_ts_klu, time_klu, aor_klu, gen_p_klu, gen_q_klu = run_env(
env_klu, max_ts, agent, chron_id=0, keep_forecast=True)
env_pp = make(
name,
param=param,
gamerules_class=AlwaysLegal,
test=True,
data_feeding_kwargs={"gridvalueClass": GridStateFromFileWithForecasts})
agent = PowerLineSwitch(action_space=env_pp.action_space)
nb_ts_pp, time_pp, aor_pp, gen_p_pp, gen_q_pp = run_env(env_pp,
max_ts,
agent,
chron_id=0,
keep_forecast=True)
print_res(env_klu, env_pp, nb_ts_klu, nb_ts_pp, time_klu, time_pp, aor_klu,
aor_pp, gen_p_klu, gen_p_pp, gen_q_klu, gen_q_pp)
def main(max_ts, name, test=True):
backend = LightSimBackend()
param = Parameters()
param.init_from_dict({"NO_OVERFLOW_DISCONNECTION": True})
env_klu = make(name,
backend=backend,
test=test,
param=param,
gamerules_class=AlwaysLegal,
data_feeding_kwargs={
"chunk_size": 128,
"max_iter": max_ts,
"gridvalueClass": GridStateFromFile
})
agent = TestAgent(action_space=env_klu.action_space, env_name=name)
nb_ts_klu, time_klu, aor_klu, gen_p_klu, gen_q_klu = run_env(
env_klu, max_ts, agent, chron_id=0, keep_forecast=False)
env_pp = make(name,
param=param,
gamerules_class=AlwaysLegal,
test=test,
data_feeding_kwargs={
"chunk_size": 128,
"max_iter": max_ts,
"gridvalueClass": GridStateFromFile
})
agent = TestAgent(action_space=env_pp.action_space, env_name=name)
nb_ts_pp, time_pp, aor_pp, gen_p_pp, gen_q_pp = run_env(
env_pp, max_ts, agent, chron_id=0, keep_forecast=False)
print_res(env_klu, env_pp, nb_ts_klu, nb_ts_pp, time_klu, time_pp, aor_klu,
aor_pp, gen_p_klu, gen_p_pp, gen_q_klu, gen_q_pp)
def main(max_ts, name, use_lightsim=False):
param = Parameters()
if use_lightsim:
if light_sim_avail:
backend = LightSimBackend()
else:
raise RuntimeError("LightSimBackend not available")
else:
backend = PandaPowerBackend()
param.init_from_dict({"NO_OVERFLOW_DISCONNECTION": True})
env_klu = make(name,
backend=backend,
param=param,
gamerules_class=AlwaysLegal,
test=True)
agent = TestAgent(action_space=env_klu.action_space, env_name=name)
cp = cProfile.Profile()
cp.enable()
nb_ts_klu, time_klu, aor_klu, gen_p_klu, gen_q_klu = run_env(
env_klu, max_ts, agent)
cp.disable()
nm_f, ext = os.path.splitext(__file__)
nm_out = "{}_{}_{}.prof".format(nm_f, "lightsim" if use_ls else "pp", name)
cp.dump_stats(nm_out)
print("You can view profiling results with:\n\tsnakeviz {}".format(nm_out))
def main(max_ts, ENV_NAME):
backend = LightSimBackend()
param = Parameters()
param.init_from_dict({"NO_OVERFLOW_DISCONNECTION": True})
env_klu = make(ENV_NAME, backend=backend, param=param, test=True)
agent = DoNothingAgent(action_space=env_klu.action_space)
nb_ts_klu, time_klu, aor_klu, gen_p_klu, gen_q_klu = run_env(env_klu, max_ts, agent)
env_pp = make(ENV_NAME, param=param, test=True)
agent = DoNothingAgent(action_space=env_pp.action_space)
nb_ts_pp, time_pp, aor_pp, gen_p_pp, gen_q_pp = run_env(env_pp, max_ts, agent)
print_res(env_klu, env_pp,
nb_ts_klu, nb_ts_pp,
time_klu, time_pp,
aor_klu, aor_pp,
gen_p_klu, gen_p_pp,
gen_q_klu, gen_q_pp
)
def main(max_ts, name):
backend = LightSimBackend()
param = Parameters()
param.init_from_dict({"NO_OVERFLOW_DISCONNECTION": True})
env_klu = make(name,
backend=backend,
param=param,
gamerules_class=AlwaysLegal,
test=True)
agent = PowerLineSwitch(action_space=env_klu.action_space)
nb_ts_klu, time_klu, aor_klu, gen_p_klu, gen_q_klu = run_env(
env_klu, max_ts, agent)
env_pp = make(name, param=param, gamerules_class=AlwaysLegal, test=True)
agent = PowerLineSwitch(action_space=env_pp.action_space)
nb_ts_pp, time_pp, aor_pp, gen_p_pp, gen_q_pp = run_env(
env_pp, max_ts, agent)
print_res(env_klu, env_pp, nb_ts_klu, nb_ts_pp, time_klu, time_pp, aor_klu,
aor_pp, gen_p_klu, gen_p_pp, gen_q_klu, gen_q_pp)
def main(max_ts, ENV_NAME, test=True):
param = Parameters()
param.init_from_dict({"NO_OVERFLOW_DISCONNECTION": True})
env_pp = make(ENV_NAME,
param=param,
test=test,
data_feeding_kwargs={"gridvalueClass": GridStateFromFile})
agent = DoNothingAgent(action_space=env_pp.action_space)
nb_ts_pp, time_pp, aor_pp, gen_p_pp, gen_q_pp = run_env(env_pp,
max_ts,
agent,
chron_id=0,
env_seed=0)
pp_time_pf = env_pp._time_powerflow
wst = False # print extra info in the run_env function
env_lightsim = make(
ENV_NAME,
backend=LightSimBackend(),
param=param,
test=test,
data_feeding_kwargs={"gridvalueClass": GridStateFromFile})
li_tols = [10., 1., 1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7, 1e-8, 1e-9]
nb_ts = []
time = []
aor = []
gen_p = []
gen_q = []
comp_time = []
time_pf = []
for tol in li_tols:
env_lightsim.backend.set_tol(tol)
nb_ts_, time_, aor_, gen_p_, gen_q_ = run_env(env_lightsim,
max_ts,
agent,
chron_id=0,
with_type_solver=wst,
env_seed=0)
comp_time_ = env_lightsim.backend.comp_time
time_pf_ = env_lightsim._time_powerflow
nb_ts.append(nb_ts_)
time.append(time_)
aor.append(aor_)
gen_p.append(gen_p_)
gen_q.append(gen_q_)
comp_time.append(comp_time_)
time_pf.append(time_pf_)
# NOW PRINT THE RESULTS
env_name = get_env_name_displayed(ENV_NAME)
hds = [
f"{env_name} ({nb_ts_pp} iter)", f"speed (it/s)", f"Δ aor (amps)",
f"Δ gen_p (MW)", f"Δ gen_q (MVAr)"
]
tab = [["PP", int(nb_ts_pp / time_pp), "0.00", "0.00", "0.00"]]
for i, tol in enumerate(li_tols):
if lightsim2grid.SolverType.GaussSeidel:
tab.append([
f"{tol:.2e}", f"{int(nb_ts[i] / time[i])}",
f"{np.max(np.abs(aor[i] - aor_pp)):.2e}",
f"{np.max(np.abs(gen_p[i] - gen_p_pp)):.2e}",
f"{np.max(np.abs(gen_q[i] - gen_q_pp)):.2e}"
])
res_tol = tabulate(tab, headers=hds, tablefmt="rst")
print(res_tol)
def main(max_ts, ENV_NAME, test=True):
param = Parameters()
param.init_from_dict({"NO_OVERFLOW_DISCONNECTION": True})
env_pp = make(ENV_NAME,
param=param,
test=test,
data_feeding_kwargs={"gridvalueClass": GridStateFromFile})
agent = DoNothingAgent(action_space=env_pp.action_space)
nb_ts_pp, time_pp, aor_pp, gen_p_pp, gen_q_pp = run_env(env_pp,
max_ts,
agent,
chron_id=0,
env_seed=0)
pp_time_pf = env_pp._time_powerflow
wst = True # print extra info in the run_env function
env_lightsim = make(
ENV_NAME,
backend=LightSimBackend(),
param=param,
test=test,
data_feeding_kwargs={"gridvalueClass": GridStateFromFile})
solver_types = env_lightsim.backend.available_solvers
if lightsim2grid.SolverType.KLU in solver_types:
env_lightsim.backend.set_solver_type(lightsim2grid.SolverType.KLU)
env_lightsim.backend.set_solver_max_iter(10)
nb_ts_klu, time_klu, aor_klu, gen_p_klu, gen_q_klu = run_env(
env_lightsim,
max_ts,
agent,
chron_id=0,
with_type_solver=wst,
env_seed=0)
klu_comp_time = env_lightsim.backend.comp_time
klu_time_pf = env_lightsim._time_powerflow
if lightsim2grid.SolverType.SparseLU in solver_types:
env_lightsim.backend.set_solver_type(lightsim2grid.SolverType.SparseLU)
env_lightsim.backend.set_solver_max_iter(10)
nb_ts_slu, time_slu, aor_slu, gen_p_slu, gen_q_slu = run_env(
env_lightsim,
max_ts,
agent,
chron_id=0,
with_type_solver=wst,
env_seed=0)
slu_comp_time = env_lightsim.backend.comp_time
slu_time_pf = env_lightsim._time_powerflow
if lightsim2grid.SolverType.GaussSeidel in solver_types:
env_lightsim.backend.set_solver_type(
lightsim2grid.SolverType.GaussSeidel)
env_lightsim.backend.set_solver_max_iter(10000)
nb_ts_gs, time_gs, aor_gs, gen_p_gs, gen_q_gs = run_env(
env_lightsim,
max_ts,
agent,
chron_id=0,
with_type_solver=wst,
env_seed=0)
gs_comp_time = env_lightsim.backend.comp_time
gs_time_pf = env_lightsim._time_powerflow
# NOW PRINT THE RESULTS
env_name = get_env_name_displayed(ENV_NAME)
hds = [
f"{env_name}", f"grid2op speed (it/s)", f"grid2op powerflow time (ms)",
f"solver powerflow time (ms)"
]
tab = [[
"PP",
int(nb_ts_pp / time_pp), f"{1000.*pp_time_pf/nb_ts_pp:.2e}",
f"{1000.*pp_time_pf/nb_ts_pp:.2e}"
]]
if lightsim2grid.SolverType.GaussSeidel:
tab.append([
"LS+GS",
int(nb_ts_gs / time_gs), f"{1000.*gs_time_pf/nb_ts_gs:.2e}",
f"{1000.*gs_comp_time/nb_ts_gs:.2e}"
])
if lightsim2grid.SolverType.SparseLU:
tab.append([
"LS+SLU",
int(nb_ts_slu / time_slu), f"{1000.*slu_time_pf/nb_ts_slu:.2e}",
f"{1000.*slu_comp_time/nb_ts_slu:.2e}"
])
if lightsim2grid.SolverType.KLU:
tab.append([
"LS+KLU",
int(nb_ts_klu / time_klu), f"{1000.*klu_time_pf/nb_ts_klu:.2e}",
f"{1000.*klu_comp_time/nb_ts_klu:.2e}"
])
res_use_with_grid2op_1 = tabulate(tab, headers=hds, tablefmt="rst")
print(res_use_with_grid2op_1)
print()
res_github_readme = tabulate(tab, headers=hds, tablefmt="github")
print(res_github_readme)
print()
hds = [
f"{env_name} ({nb_ts_pp} iter)", f"Δ aor (amps)", f"Δ gen_p (MW)",
f"Δ gen_q (MVAr)"
]
tab = [["PP", "0.00", "0.00", "0.00"]]
if lightsim2grid.SolverType.GaussSeidel:
tab.append([
"LS+GS", f"{np.max(np.abs(aor_gs - aor_pp)):.2e}",
f"{np.max(np.abs(gen_p_gs - gen_p_pp)):.2e}",
f"{np.max(np.abs(gen_q_gs - gen_q_pp)):.2e}"
])
if lightsim2grid.SolverType.SparseLU:
tab.append([
"LS+SLU", f"{np.max(np.abs(aor_slu - aor_pp)):.2e}",
f"{np.max(np.abs(gen_p_slu - gen_p_pp)):.2e}",
f"{np.max(np.abs(gen_q_slu - gen_q_pp)):.2e}"
])
if lightsim2grid.SolverType.KLU:
tab.append([
"LS+KLU", f"{np.max(np.abs(aor_klu - aor_pp)):.2e}",
f"{np.max(np.abs(gen_p_klu - gen_p_pp)):.2e}",
f"{np.max(np.abs(gen_q_klu - gen_q_pp)):.2e}"
])
res_use_with_grid2op_2 = tabulate(tab, headers=hds, tablefmt="rst")
print(res_use_with_grid2op_2)
