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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,46 @@ | ||
| { | ||
| "configurations": [ | ||
| { | ||
| "name": "Python: Current File", | ||
| "type": "python", | ||
| "request": "launch", | ||
| "program": "${file}", | ||
| "console": "integratedTerminal", | ||
| "justMyCode": true | ||
| }, | ||
| { | ||
| "name": "EMHASS run", | ||
| "type": "python", | ||
| "request": "launch", | ||
| "program": "web_server.py", | ||
| "console": "integratedTerminal", | ||
| "cwd": "${workspaceFolder}/src/emhass/", | ||
| "purpose":["debug-in-terminal"], | ||
| "justMyCode": true, | ||
| "env": { | ||
| "CONFIG_PATH": "/workspaces/emhass/config_emhass.yaml", | ||
| "OPTIONS_PATH": "/workspaces/emhass/options.json", | ||
| "SECRETS_PATH": "/workspaces/emhass/secrets_emhass.yaml", | ||
| "DATA_PATH": "/workspaces/emhass/data/", | ||
| } | ||
| }, | ||
| { | ||
| "name": "EMHASS run ADDON", | ||
| "type": "python", | ||
| "request": "launch", | ||
| "program": "web_server.py", | ||
| "console": "integratedTerminal", | ||
| "cwd": "${workspaceFolder}/src/emhass/", | ||
| "args": ["--addon", "true", "--url", "http://IPHERE:PORT/", "--key", "PLACEKEYHERE" ], | ||
| "purpose":["debug-in-terminal"], | ||
| "justMyCode": true, | ||
| "env": { | ||
| "CONFIG_PATH": "/workspaces/emhass/config_emhass.yaml", | ||
| "OPTIONS_PATH": "/workspaces/emhass/options.json", | ||
| "SECRETS_PATH": "/workspaces/emhass/secrets_emhass.yaml", | ||
| "DATA_PATH": "/workspaces/emhass/data/", | ||
| }, | ||
|
|
||
| } | ||
| ] | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| { | ||
| "version": "2.0.0", | ||
| "tasks": [ | ||
| { | ||
| "label": "EMHASS install", | ||
| "command": "sudo", | ||
| "group": { | ||
| "kind": "build", | ||
| "isDefault": true | ||
| }, | ||
| "args": [ | ||
| "python3", "setup.py", "install" | ||
| ], | ||
| "presentation": { | ||
| "echo": true, | ||
| "panel": "shared", | ||
| "focus": true | ||
| } | ||
| } | ||
| ] | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,79 +1,85 @@ | ||
| # Configuration file for EMHASS | ||
|
|
||
| retrieve_hass_conf: | ||
| - freq: 30 # The time step to resample retrieved data from hass in minutes | ||
| - days_to_retrieve: 8 # We will retrieve data from now and up to days_to_retrieve days | ||
| - var_PV: 'sensor.power_photovoltaics' # Photovoltaic produced power sensor in Watts | ||
| - var_load: 'sensor.power_load_no_var_loads' # Household power consumption sensor in Watts (deferrable loads should be substracted) | ||
| - load_negative: False # Set to True if the retrived load variable is negative by convention | ||
| - set_zero_min: True # A special treatment for a minimum value saturation to zero. Values below zero are replaced by nans | ||
| - var_replace_zero: # A list of retrived variables that we would want to replace nans with zeros | ||
| - 'sensor.power_photovoltaics' | ||
| - var_interp: # A list of retrived variables that we would want to interpolate nan values using linear interpolation | ||
| - 'sensor.power_photovoltaics' | ||
| - 'sensor.power_load_no_var_loads' | ||
| - method_ts_round: 'nearest' # Set the method for timestamp rounding, options are: first, last and nearest | ||
| freq: 30 # The time step to resample retrieved data from hass in minutes | ||
| days_to_retrieve: 8 # We will retrieve data from now and up to days_to_retrieve days | ||
| var_PV: 'sensor.power_photovoltaics' # Photovoltaic produced power sensor in Watts | ||
| var_load: 'sensor.power_load_no_var_loads' # Household power consumption sensor in Watts (deferrable loads should be substracted) | ||
| load_negative: False # Set to True if the retrived load variable is negative by convention | ||
| set_zero_min: True # A special treatment for a minimum value saturation to zero. Values below zero are replaced by nans | ||
| var_replace_zero: # A list of retrived variables that we would want to replace nans with zeros | ||
| - 'sensor.power_photovoltaics' | ||
| var_interp: # A list of retrived variables that we would want to interpolate nan values using linear interpolation | ||
| - 'sensor.power_photovoltaics' | ||
| - 'sensor.power_load_no_var_loads' | ||
| method_ts_round: 'nearest' # Set the method for timestamp rounding, options are: first, last and nearest | ||
|
|
||
| optim_conf: | ||
| - set_use_battery: False # consider a battery storage | ||
| - delta_forecast: 1 # days | ||
| - num_def_loads: 2 | ||
| - P_deferrable_nom: # Watts | ||
| - 3000.0 | ||
| - 750.0 | ||
| - def_total_hours: # hours | ||
| - 5 | ||
| - 8 | ||
| - treat_def_as_semi_cont: # treat this variable as semi continuous | ||
| - True | ||
| - True | ||
| - set_def_constant: # set as a constant fixed value variable with just one startup for each 24h | ||
| - False | ||
| - False | ||
| - weather_forecast_method: 'scrapper' # options are 'scrapper' and 'csv' | ||
| - load_forecast_method: 'naive' # options are 'csv' to load a custom load forecast from a CSV file or 'naive' for a persistance model | ||
| - load_cost_forecast_method: 'hp_hc_periods' # options are 'hp_hc_periods' for peak and non-peak hours contracts and 'csv' to load custom cost from CSV file | ||
| - list_hp_periods: # list of different tariff periods (only needed if load_cost_forecast_method='hp_hc_periods') | ||
| - period_hp_1: | ||
| - start: '02:54' | ||
| - end: '15:24' | ||
| - period_hp_2: | ||
| - start: '17:24' | ||
| - end: '20:24' | ||
| - load_cost_hp: 0.1907 # peak hours load cost in €/kWh (only needed if load_cost_forecast_method='hp_hc_periods') | ||
| - load_cost_hc: 0.1419 # non-peak hours load cost in €/kWh (only needed if load_cost_forecast_method='hp_hc_periods') | ||
| - prod_price_forecast_method: 'constant' # options are 'constant' for constant fixed value or 'csv' to load custom price forecast from a CSV file | ||
| - prod_sell_price: 0.065 # power production selling price in €/kWh (only needed if prod_price_forecast_method='constant') | ||
| - set_total_pv_sell: False # consider that all PV power is injected to the grid (self-consumption with total sell) | ||
| - lp_solver: 'default' # set the name of the linear programming solver that will be used | ||
| - lp_solver_path: 'empty' # set the path to the LP solver | ||
| - set_nocharge_from_grid: False # avoid battery charging from the grid | ||
| - set_nodischarge_to_grid: True # avoid battery discharging to the grid | ||
| - set_battery_dynamic: False # add a constraint to limit the dynamic of the battery power in power per time unit | ||
| - battery_dynamic_max: 0.9 # maximum dynamic positive power variation in percentage of battery maximum power | ||
| - battery_dynamic_min: -0.9 # minimum dynamic negative power variation in percentage of battery maximum power | ||
| - weight_battery_discharge: 1.0 # weight applied in cost function to battery usage for discharge | ||
| - weight_battery_charge: 1.0 # weight applied in cost function to battery usage for charge | ||
| set_use_battery: False # consider a battery storage | ||
| delta_forecast: 1 # days | ||
| num_def_loads: 2 | ||
| P_deferrable_nom: # Watts | ||
| - 3000.0 | ||
| - 750.0 | ||
| def_total_hours: # hours | ||
| - 5 | ||
| - 8 | ||
| def_start_timestep: # timesteps | ||
| - 0 | ||
| - 0 | ||
| def_end_timestep: # timesteps | ||
| - 0 | ||
| - 0 | ||
| treat_def_as_semi_cont: # treat this variable as semi continuous | ||
| - True | ||
| - True | ||
| set_def_constant: # set as a constant fixed value variable with just one startup for each 24h | ||
| - False | ||
| - False | ||
| weather_forecast_method: 'scrapper' # options are 'scrapper', 'csv', 'list', 'solcast' and 'solar.forecast' | ||
| load_forecast_method: 'naive' # options are 'csv' to load a custom load forecast from a CSV file or 'naive' for a persistance model | ||
| load_cost_forecast_method: 'hp_hc_periods' # options are 'hp_hc_periods' for peak and non-peak hours contracts and 'csv' to load custom cost from CSV file | ||
| list_hp_periods: # list of different tariff periods (only needed if load_cost_forecast_method='hp_hc_periods') | ||
| - period_hp_1: | ||
| - start: '02:54' | ||
| - end: '15:24' | ||
| - period_hp_2: | ||
| - start: '17:24' | ||
| - end: '20:24' | ||
| load_cost_hp: 0.1907 # peak hours load cost in €/kWh (only needed if load_cost_forecast_method='hp_hc_periods') | ||
| load_cost_hc: 0.1419 # non-peak hours load cost in €/kWh (only needed if load_cost_forecast_method='hp_hc_periods') | ||
| prod_price_forecast_method: 'constant' # options are 'constant' for constant fixed value or 'csv' to load custom price forecast from a CSV file | ||
| prod_sell_price: 0.065 # power production selling price in €/kWh (only needed if prod_price_forecast_method='constant') | ||
| set_total_pv_sell: False # consider that all PV power is injected to the grid (self-consumption with total sell) | ||
| lp_solver: 'default' # set the name of the linear programming solver that will be used | ||
| lp_solver_path: 'empty' # set the path to the LP solver | ||
| set_nocharge_from_grid: False # avoid battery charging from the grid | ||
| set_nodischarge_to_grid: True # avoid battery discharging to the grid | ||
| set_battery_dynamic: False # add a constraint to limit the dynamic of the battery power in power per time unit | ||
| battery_dynamic_max: 0.9 # maximum dynamic positive power variation in percentage of battery maximum power | ||
| battery_dynamic_min: -0.9 # minimum dynamic negative power variation in percentage of battery maximum power | ||
| weight_battery_discharge: 0.0 # weight applied in cost function to battery usage for discharge | ||
| weight_battery_charge: 0.0 # weight applied in cost function to battery usage for charge | ||
|
|
||
| plant_conf: | ||
| - P_grid_max: 9000 # The maximum power that can be supplied by the utility grid in Watts | ||
| - module_model: # The PV module model | ||
| - 'CSUN_Eurasia_Energy_Systems_Industry_and_Trade_CSUN295_60M' | ||
| - inverter_model: # The PV inverter model | ||
| - 'Fronius_International_GmbH__Fronius_Primo_5_0_1_208_240__240V_' | ||
| - surface_tilt: # The tilt angle of your solar panels | ||
| - 30 | ||
| - surface_azimuth: # The azimuth angle of your PV installation | ||
| - 205 | ||
| - modules_per_string: # The number of modules per string | ||
| - 16 | ||
| - strings_per_inverter: # The number of used strings per inverter | ||
| - 1 | ||
| - Pd_max: 1000 # If your system has a battery (set_use_battery=True), the maximum discharge power in Watts | ||
| - Pc_max: 1000 # If your system has a battery (set_use_battery=True), the maximum charge power in Watts | ||
| - eta_disch: 0.95 # If your system has a battery (set_use_battery=True), the discharge efficiency | ||
| - eta_ch: 0.95 # If your system has a battery (set_use_battery=True), the charge efficiency | ||
| - Enom: 5000 # If your system has a battery (set_use_battery=True), the total capacity of the battery stack in Wh | ||
| - SOCmin: 0.3 # If your system has a battery (set_use_battery=True), the minimun allowable battery state of charge | ||
| - SOCmax: 0.9 # If your system has a battery (set_use_battery=True), the minimun allowable battery state of charge | ||
| - SOCtarget: 0.6 # If your system has a battery (set_use_battery=True), the desired battery state of charge at the end of each optimization cycle | ||
| P_grid_max: 9000 # The maximum power that can be supplied by the utility grid in Watts | ||
| module_model: # The PV module model | ||
| - 'CSUN_Eurasia_Energy_Systems_Industry_and_Trade_CSUN295_60M' | ||
| inverter_model: # The PV inverter model | ||
| - 'Fronius_International_GmbH__Fronius_Primo_5_0_1_208_240__240V_' | ||
| surface_tilt: # The tilt angle of your solar panels | ||
| - 30 | ||
| surface_azimuth: # The azimuth angle of your PV installation | ||
| - 205 | ||
| modules_per_string: # The number of modules per string | ||
| - 16 | ||
| strings_per_inverter: # The number of used strings per inverter | ||
| - 1 | ||
| Pd_max: 1000 # If your system has a battery (set_use_battery=True), the maximum discharge power in Watts | ||
| Pc_max: 1000 # If your system has a battery (set_use_battery=True), the maximum charge power in Watts | ||
| eta_disch: 0.95 # If your system has a battery (set_use_battery=True), the discharge efficiency | ||
| eta_ch: 0.95 # If your system has a battery (set_use_battery=True), the charge efficiency | ||
| Enom: 5000 # If your system has a battery (set_use_battery=True), the total capacity of the battery stack in Wh | ||
| SOCmin: 0.3 # If your system has a battery (set_use_battery=True), the minimun allowable battery state of charge | ||
| SOCmax: 0.9 # If your system has a battery (set_use_battery=True), the minimun allowable battery state of charge | ||
| SOCtarget: 0.6 # If your system has a battery (set_use_battery=True), the desired battery state of charge at the end of each optimization cycle |
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