project_dis_restoration.train_IL_BC_tieline

Module Contents

Classes

DictList	dict() -> new empty dictionary
Agent	Intelligent agent to interact with the restoration environment

Functions

logger_obj(logger_name, level=logging.DEBUG, verbose=0)	Method to return a custom logger with the given name and level
main_behavior_cloning(output_path)	BC algorithm

Attributes

ENV_NAME_1
ENV_NAME_2
WARM_START_OFF
NUM_TOTAL_EPISODES
MAX_DISTURBANCE
MIN_DISTURBANCE
output_path

project_dis_restoration.train_IL_BC_tieline.ENV_NAME_1 = RestorationDisEnv-v0

project_dis_restoration.train_IL_BC_tieline.ENV_NAME_2 = RestorationDisVarConEnv-v0

project_dis_restoration.train_IL_BC_tieline.WARM_START_OFF = 10000

project_dis_restoration.train_IL_BC_tieline.NUM_TOTAL_EPISODES = 10000

project_dis_restoration.train_IL_BC_tieline.MAX_DISTURBANCE = 5

project_dis_restoration.train_IL_BC_tieline.MIN_DISTURBANCE = 5

class project_dis_restoration.train_IL_BC_tieline.DictList

Bases: dict

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)

__setitem__(self, key, value)

Set self[key] to value.

project_dis_restoration.train_IL_BC_tieline.logger_obj(logger_name, level=logging.DEBUG, verbose=0)

Method to return a custom logger with the given name and level

class project_dis_restoration.train_IL_BC_tieline.Agent(env, output_path, log_level=logging.DEBUG)

Intelligent agent to interact with the restoration environment

get_expert_policy(self, env, s0)

get the expert policy by solving the full-period restoration problem

load_profile(self, env, load_status)

convert_action(self, s1_tieline, s0_tieline)

Parameters

• s1_tieline – current tieline status

• s0_tieline – previsou tieline status

Returns

integer action from 0 to 5

policy(self, s)

run_train(self, env, s0, l0=None)

run_test(self, env, s0, learned_model=None)

project_dis_restoration.train_IL_BC_tieline.main_behavior_cloning(output_path)

BC algorithm

project_dis_restoration.train_IL_BC_tieline.output_path