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EMeRGE-1.5.1
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مشاهده بیشترتوضیحات
Emerging technologies Management and Risk evaluation on distributions Grid Evolution
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | EMeRGE-1.5.1 |
| نام | EMeRGE |
| نسخه کتابخانه | 1.5.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Kapil Duwadi |
| ایمیل نویسنده | kapil.duwadi@nrel.gov |
| آدرس صفحه اصلی | https://github.com/NREL/EMeRGE |
| آدرس اینترنتی | https://pypi.org/project/EMeRGE/ |
| مجوز | - |
EMeRGE []()
===================================================================================================
EMeRGE (Emerging technologies Management and Risk evaluation on distribution Grids Evolution) is a collection of mini-tools to help users develop openDSS feeder model from GIS (.shp) file and perform risk analysis at various PV scenarios and visulize results in an interactive dashboard made using Dash.
## Releases [](https://github.com/NREL/emerge/releases/latest)
## Installation
Run the following command to install:
```python
pip install EMeRGE
```
## Usage
## `csvextractor` package (converts .shp files into CSV files)
1. Requirements
1. All .shp files stored in a folder
2. QGIS, an open source tool (3.8 version) installed
3. Open QGIS python shell, copy and paste the code from csvextractor/converter.py
4. Pass input_path and output_path to `GIS2CSV` class instance
## `csvconverter` package (converts CSVs exported from `csvextractor` into standard formats)
2. Requirements
1. Store all extracted CSV files from QGIS in a folder name 'GISCSVs'
2. Store extra CSV files containing load profile data, solar profile data, linecode and wiredata
(sample files available in github) in a folder names 'ExtraCSVs'
### Creating a project skeleton for CSV formatting
```python
from csvconverter.formatter import Convert
instance = Convert()
instance.create_skeleton(<project_path>)
```
### Converting CSVs into a standard format
#### Using config.json file
```python
from csvconverter.formatter import Convert
instance = Convert('config.json')
```
#### Using python dict
```python
from csvconverter.formatter import Convert
intance = Convert({'project_path':r'.\Project_formatter','feeder_name':'Test'})
```
## `dssgenerator` package (generates dss files from CSV files)
3. Requirements:
1. Standard CSV files generated using `csvconverter` stored in a folder name same as feeder name
2. Extra CSV files containing load profile, voltage profile and solar profile data in a folder named 'ExtraCSVs'
### Creating a project skeleon for generating DSS files
```python
from dssgenerator.generator import CSV2DSS
intance = CSV2DSS()
instance.create_skeleton(<project_path>,<feeder_name>)
```
### Converting CSV files into DSS files
#### Using config.json file
```python
from dssgenerator.generator import CSV2DSS
instance = CSV2DSS('config.json')
```
#### Using using python dict
```python
from dssgenerator.generator import CSV2DSS
instance = CSV2DSS({'project_path':".",'feeder_name':'test'})
```
## `dssmetrics` package (Compute metrics)
### Exporting metrics for a single scenario
4. Requirements:
1. OpenDSS files of distribution system
2. Three pickle files (each file should contain python dictionary with element name as key and array of downward customer name as value) for 'Tranformer', 'Line' and 'Node'. Use pickle files generated by module CSV2DSS.
3. Temperature data in the same resolution as simulation time period. (Optional)
4. Transformer life parameters (Optional)
5. Data from 4.2, 4.3 and 4.4 can be stored in a single folder and path can be specified in `config.json`
#### using config.json file
```python
from dssmetrics.opendss import OpenDSS
instance = OpenDSS('config.json')
instance.qsts_powerflow()
```
### How to get `config.json` file for computing metrics for a single scenario
```python
from dssmetrics.opendss import OpenDSS
instance = OpenDSS()
```
### Exporting metrics for a multiple PV scenarios
5. Requirements
1. For each scenario create a folder inside `DSSScenarios` and copy dss files inside that folder
2. Copy pickle files, temperature data (optional) and transformer life parameters (optional) inside `ExtraData` folder
3. Inside `Category` folder create a new folder, copy and paste the `config.json` inside a new folder. Note before running code you have to do few edits on `config.json`
### Create a project skeleton for computing metrics for multiple PV Scenarios
```python
from dssmetrics.main import MultipleOpenDSS
a = MultipleOpenDSS()
a.create_skeleton(<project_path>,<project_name>)
```
### Computing metrics for multiple scenarios
#### using config.json file
```python
from dssmetrics.main import MultipleOpenDSS
instance = MultipleOpenDSS()
instance.simulate('config.json')
```
## `dssdashboard` package (Visuallize data in dashboard)
6. Requirements
1. `Coordinates` folder should contain coordinate csv files for line,node,customers and transformers
2. `PVMetrics` folder should contain results after computing metrics for various PV scenarios using `dssmetrics` package (without volt/var)
3. `AdvancedPVMetrics` folder should contain results after computing metrics for various PV scenarios using `dssmetrics` package (with volt/var)
4. `Profile` folder should contain profile for all consumer classes along with solar profil
5. `PVConnection` folder - should have two folders : 'Base' containing all dss files and 'ExtraData' containing pickle files and csv files (requirement same as dssmetric package)
### Creating a project skeleton for creating dashboard
```python
from dssdashboard.dashboard import AppServer
instance = AppServer()
instance.create_skeleton(<project_path>,<feeder_name>)
```
### Launching a dashboard
#### using config.json file
```python
from dssdashboard.dashboard import AppServer
instance = AppServer('config.json')
instance.launch(port=8060)
```
### JSON format of config.json file (`csvconverter` package)
```json
{
"project_path" : "",
"feeder_name" : "",
"log_settings": {
"save_in_file": false,
"log_folder": "",
"log_filename":"",
"clear_old_log_file": true
},
"MVA_to_KVA_conversion_for_PT" : "yes",
"force_lt_be_three_phase" : "yes",
"PTrow" : 0,
"three_phase" : "RYB",
"single_phase" : ["R","Y","B"],
"height_of_top_conductor_ht" : 9,
"height_of_top_conductor_lt" : 8,
"ht_spacing" : 1,
"lt_spacing" : 0.47,
"geomtry_units" : "m",
"Service_wire_single_phase" : {
"conductor_spacing" : 0.47,
"num_of_cond" : 2,
"num_of_phases" : 1,
"height_of_top_conductor": 8,
"phase_conductor":"AAAC_4.0",
"neutral_conductor" : "AAAC_4.0",
"units": "m",
"spacing": "vertical"
},
"Service_wire_three_phase": {
"conductor_spacing" : 0.47,
"num_of_cond" : 4,
"num_of_phases" : 3,
"height_of_top_conductor": 8,
"phase_conductor": "AAAC_4.0",
"neutral_conductor" : "AAAC_4.0",
"units": "m",
"spacing": "vertical"
},
"ht_three_phase" : {
"conductor_spacing" : 1,
"num_of_cond" : 3,
"num_of_phases" : 3,
"height_of_top_conductor": 9,
"phase_conductor": "RABBIT_7/3.35",
"neutral_conductor" : "RABBIT_7/3.35",
"units": "m",
"spacing":"vertical"
},
"Consumer_kv": {
"ht_consumer_ll" : 11.0,
"ht_consumer_phase" : 6.6,
"lt_consumer_ll" : 0.44,
"lt_consumer_phase" : 0.23
},
"load_type": {
"lt_consumer" : "wye",
"ht_consumer" : "delta"
},
"ht_line": {
"node_file_name" : "Asset_HT_Line_node.csv",
"attribute_file_name" : "Asset_HT_Line_attribute.csv"
},
"ht_cable": {
"node_file_name" : "Asset_HT_Line_Cable_node.csv",
"attribute_file_name" : "Asset_HT_Line_Cable_attribute.csv"
},
"lt_line":{
"node_file_name" : "Asset_LT_Line_node.csv",
"attribute_file_name" : "Asset_LT_Line_attribute.csv"
},
"lt_cable":{
"node_file_name" : "Asset_LT_Line_Cable_node.csv",
"attribute_file_name" : "Asset_LT_Line_Cable_attribute.csv"
},
"line_column_mapper": {
"length" : ["SHAPE_Leng"],
"phase" : ["force","RYB"],
"four_conductor_system" : ["3Ph Five wire system","3Ph Four wire system"],
"three_conductor_system" : ["3Ph Three wire system"],
"two_conductor_system" : ["1Ph Three wire system","1Ph Two wire system","2Ph Three wire system"],
"phase_system" : ["HTL_PWS","HTLC_PWS","LTL_PWS","LTLC_PWS"],
"csize" : ["HTL_CSIZE_","HTLC_CBL_S","LTL_CSIZE","LTLC_CBL_S"],
"cname" : ["HTL_CNAME","HTLC_CBL_T","LTL_CNAME","LTLC_CBL_T"],
"nsize" : ["LTL_N_CSIZ"],
"nname" : ["LTL_N_CNAM"],
"units" : ["force","m"],
"spacing" : ["force","vertical"]
},
"distribution_transformer":{"file_name" : "Asset_Distribution_Transformer.csv"},
"power_transformer":{"file_name" : "Asset_Power_Transformer.csv"},
"transformer_column_mapper": {
"ID" : ["DT_ID","PTR_ID"],
"KVA_cap" : ["DT_CC_KVA","PTR_CAP_MV"],
"HV_KV" : ["DT_HVSV_KV","PTR_PRY_VO"],
"LV_KV" : ["DT_LVSV_KV","PTR_SEC_VO"],
"maxtap" : ["force","1.1"],
"mintap" : ["force","0.9"],
"tap" : ["force","1.0"],
"numtaps" : ["force","10"],
"prim_con" : ["force","delta"],
"sec_con" : ["force","wye"],
"vector_group" : ["force","Dyn11"],
"%resistance" : ["force","0.75"],
"%reactance" : ["force","7.5"],
"%noloadloss" : ["force","0"],
"phase" : ["force","RYB"],
"x" : ["x"],
"y" : ["y"]
},
"lt_consumer": {"file_name" : "Consumer_LT.csv"},
"ht_consumer":{"file_name" : "Consumer_HT.csv"},
"consumer_column_mapper": {
"pf" : ["LTC_PF","HTC_PF"],
"tariff_type" : ["LTC_TCODE","HTC_TCODE"],
"phase": ["LTC_PHASE","HTC_PHASE"],
"Sanctioned_load" : ["LTC_SLOAD_","HTC_SDEMAN"],
"x" : ["x"],
"y" : ["y"],
"PeakMWload" : 1.2,
"estimate_consumer_peakkw" : "yes"
},
"consumer_class_by_tariff":{
"residential" : ["LT Tariff IA","LT Tariff I B","LT Tariff VI"],
"commercial" : ["LT Tariff II-A","LT Tariff II-B(1)","LT Tariff II-C", "LT Tariff V","LT Tariff II-B(2"],
"industrial" : ["LT Tariff III-A (1)", "LT Tariff III-B","TARIFF III"],
"agricultural" : ["LT Tariff IV"]
},
"peak_contribution": {
"residential" : 0.867,
"commercial" : 0.105,
"industrial" : 0.017,
"agricultural" : 0.011
},
"tec_per_kw_by_consumer_type":{
"residential" : 5937.831,
"commercial" : 6168.84,
"industrial" : 6206.385,
"agricultural" : 6102.5
}
}
```
**Arguments**
7. Definitions
1. `project_path` - str, path to a project folder
2. `feeder_name` - str, CSVs will be stored in this folder
3. `log_settings` - dict, settings for logging
1. `save_in_file` - bool, set to true if you want to save log info in a file
2. `log_folder` - str, folder path for saving log file
3. `log_filename`- str, log file name, must end with '.log'
4. `clear_old_log_file`- bool, set to true if you want to clear old log file
4. `MVA_to_KVA_conversion_for_PT` - str, set to "yes" if conversion is necessary
5. `force_lt_be_three_phase` - str, set to 'yes' if you want to force lt lines to be three phase
6. `PTrow` - int, in case of multiple PTs define which row number in CSV file
7. `three_phase` - str, e.g. "RYB"
8. `single_phase` - list, e.g. ['R', 'Y', 'B']
9. `height_of_top_conductor_ht` - float
10. `height_of_top_conductor_lt` - float
11. `ht_spacing` - float
12. `lt_spacing` - float
13. `geomtry_units` - str, e.g. "m"
14. `Service_wire_single_phase` - dict, service wire info
1. `conductor_spacing` - float,
2. `num_of_cond` - int
3. `num_of_phases` - int
4. `height_of_top_conductor`- int
5. `phase_conductor`- str
6. `neutral_conductor` - str
7 `units` - str
8. `spacing`- str, can be only 'vertical' or 'horizontal'
15. `Service_wire_three_phase` - dict, service wire info (three phase)
1. `conductor_spacing` - float
2. `num_of_cond` - int
3. `num_of_phases` - int
4. `height_of_top_conductor`- float
5. `phase_conductor`- str
6. `neutral_conductor` - str
7. `units`- str, e.g. 'm'
8. `spacing`- str, can only be 'vertical' or 'horizontal'
16. `ht_three_phase` - dict, ht conductor info
1. `conductor_spacing` - float
2. `num_of_cond` - int
3. `num_of_phases` - int
4. `height_of_top_conductor`- float
5. `phase_conductor`- str
6. `neutral_conductor` - str
7. `units`- str
8. `spacing`- str
17. `Consumer_kv`- dict
1. `ht_consumer_ll` - float
2. `ht_consumer_phase` - float
3. `lt_consumer_ll` - float
4. `lt_consumer_phase` - float
18. `load_type`- dict
1. `lt_consumer` - str, can be either 'wye' or 'delta'
2. `ht_consumer` - tr, can be either 'wye' or 'delta'
19. `ht_line`- dict
1. `node_file_name` - str
2. `attribute_file_name` - str
20. `ht_cable`- dict
1. `node_file_name` - str
2. `attribute_file_name` - str
21. `lt_line`- dict
1. `node_file_name` - str
2. `attribute_file_name` - str
22. `lt_cable`- dict
1. `node_file_name` - str
1. `attribute_file_name` - str
23. `line_column_mapper`- dict
1. `length` - list
2. `phase` - list
3. `four_conductor_system` - list
4. `three_conductor_system` - list
5. `two_conductor_system` - list
6. `phase_system` - list
7. `csize` - list
8. `cname` - list
9. `nsize` - list
10. `nname` - list
11. `units` - list
12. `spacing` - list
24. `distribution_transformer`- dict
1. `file_name` - str
25. `power_transformer`- dict
1. `file_name` - str
26. `transformer_column_mapper`- dict
1. `ID` - list
2. `KVA_cap` - list
3. `HV_KV` - list
4. `LV_KV` - list
5. `maxtap` - list
6. `mintap` - list
7. `tap` - list
8. `numtaps` - list
9. `prim_con` - list
10. `sec_con` - list
11. `vector_group` - list
12. `%resistance` - list
13. `%reactance` - list
14. `%noloadloss` - list
15. `phase` - list
16. `x` - list
17. `y` - list
27. `lt_consumer`- dict
1. `file_name` - str
28. `ht_consumer`- dict
1. `file_name` - str
29. `consumer_column_mapper`- dict
1. `pf` - list
2. `tariff_type` - list
3. `phase`- list
4. `Sanctioned_load` - list
5. `x` - list
6. `y` - list
7. `PeakMWload` - float
7. `estimate_consumer_peakkw` - str, either 'yes' or 'no'
30. `consumer_class_by_tariff`- dict
1. `residential` - list
2. `commercial` - list
3. `industrial` - list
4. `agricultural` - list
31. `peak_contribution`- dict
1. `residential` - float,
2. `commercial` - float,
3. `industrial` - float,
4. `agricultural` - float
32. `tec_per_kw_by_consumer_type`-{
1. `residential` - float,
2. `commercial` - float,
3. `industrial` - float,
4. `agricultural` - float
### JSON format of configuration file for dss conversion (`dssgenerator` package)
```json
{
"project_path" : "",
"feeder_name" : "",
"log_settings": {
"save_in_file": false,
"log_folder": "",
"log_filename":"",
"clear_old_log_file": true
},
"PV_customers_step" : 10,
"PV_capacity_step" : 1,
"number_of_monte_carlo_run" : 1,
"export_pickle_for_risk_analysis" : "yes",
"time_series_pf" : "yes",
"num_of_data_points" : 35040,
"minute-interval" : 15,
"time_series_voltage_profile" : "yes",
"voltage_csv_name" : "voltagemult.csv",
"sourcebasekv" : 33.0,
"sourcebasefreq" : 50,
"sourcepu" : 1.0,
"sourcezeroseq_impedance" : [0.001,0.001],
"sourceposseq_impedance" : [0.001,0.001],
"source_num_of_phase" : 3,
"include_PV" : "yes",
"PV_volt_label" : [0.44,0.23],
"annual_PV_capacity_factor" : 0.25,
"inverter_oversize_factor" : 0.9,
"max_pu_irradiance" : 0.98,
"no_reactive_support_from_PV" : "yes",
"PV_cutin" : 0.05,
"PV_cutout" : 0.05,
"solar_csvname" : "solarmult.csv",
"three_phase" : "RYB",
"single_phase" : ["R","Y","B"],
"random_phase_allocation" : "yes",
"multi_threephase_for_lt" : "yes",
"num_of_parallel_three_phase" : 3,
"servicewire_phase_conductor_type" : "AAAC",
"servicewire_phase_conductor_size" : "4.0",
"phase_conductor_type_ht_consumer" : "RABBIT",
"phase_conductor_size_ht_consumer" : "7/3.35",
"service_wire_spacing" : "vertical",
"ht_consumer_conductor_spacing" : "vertical",
"units_for_coordinate" : "m",
"service_wire_num_of_cond" : {
"single_phase" : 2,
"three_phase" : 4
},
"ht_consumer_conductor_num_of_cond": {"three_phase" : 3},
"phase2num" :{"R" : 1,"Y" : 2,"B" : 3}
}
```
**Arguments**
8. Definitions
1. `project_path` - str, folder path containing data
2. `feeder_name` - str, feeder name
3. `log_settings`- dict, settings for logging
1. `save_in_file` - bool, set to true if want to save in file
2. `log_folder` - str, folder where you want to save log file
3. `log_filename` - str, log file name
4. `clear_old_log_file`- bool, set to true if you want to clear the ol log file
4. `PV_customers_step` - int, number of scenarios with unique percentage customers
5 `PV_capacity_step` - int, number of scenarios with unique percentage pv capacity
6. `number_of_monte_carlo_run` - int, must be greater than or equlal to 1
7. `export_pickle_for_risk_analysis` - str, either "yes" or "no"
8. `time_series_pf` - str, "yes" or "no", specifying no will generate dss files for snapshot powerflow only
9. `num_of_data_points` - int, number of data-point in time series
10. `minute-interval` - int, simulation time step
11. `time_series_voltage_profile` - str, "yes" or "no" - whether to include voltage profile or not
12. `voltage_csv_name` - str, csv file name of voltage profile
13. `sourcebasekv` - float, voltage in kV
14. `sourcebasefreq` - int, can be either 50 or 60
15. `sourcepu` - float, pu voltage of swing bus
16. `sourcezeroseq_impedance` - list, e.g. [0.001, 0.001]
17. `sourceposseq_impedance` - list e.g. [0.001, 0.001],
18. `source_num_of_phase` - int, number of phases of swing bus
19. `include_PV` - str, either "yes" or "no" include PV or not
20. `PV_volt_label` - list, voltage level at which PV is to be connected [0.44, 0.23]
21. `annual_PV_capacity_factor` - float, PV annual capacity factor
22. `inverter_oversize_factor` - float, inverter size over PV size
23. `max_pu_irradiance` - float, maximum pu irradiance
24. `no_reactive_support_from_PV` - str, either "yes" or "no"
25. `PV_cutin` - float, pv cutin as defined in opendss
26. `PV_cutout` - float, pv cutout as defined in opendss
27. `solar_csvname` - str, csv filename of solar profile
28. `three_phase` - str, e.g. "RYB"
29. `single_phase` - list, e.g. ['R', 'Y', 'B']
30. `random_phase_allocation` - str, either "yes" or "no" random phase allocation for customers
31. `multi_threephase_for_lt` - str, either "yes" or "no"
32. `num_of_parallel_three_phase` - int, number of parallel three phases
33. `servicewire_phase_conductor_type` - str, name of conductor to be used as service conductor e.g. "AAAC"
34. `servicewire_phase_conductor_size` - str
35. `phase_conductor_type_ht_consumer` - str
36. `phase_conductor_size_ht_consumer` - str
37. `service_wire_spacing` - str, either 'vertical' or 'horizontal'
38. `ht_consumer_conductor_spacing` - str, either 'vertical' or 'horizontal'
39. `units_for_coordinate` - str, e.g. "m"
40. `service_wire_num_of_cond` - dict
1. `single_phase` - int, number of conductors
2. `three_phase` - int, number of conductors
41. `ht_consumer_conductor_num_of_cond` - dict
1. `three_phase` - int, number of conductors
42. `phase2num` - dict
1. `R` - int e.g 1
2. `Y` - int e.g 2
3. `B` - int e.g 3
### JSON format (Exporting metric for a multiple scenarios - `dssmetrics` package)
```json
{
"project_path": "",
"active_project":"",
"active_scenario": "",
"dss_filename":"",
"start_time":"2018-1-1 0:0:0",
"end_time":"2018-1-2 23:30:0",
"simulation_time_step (minute)": 60,
"parallel_simulation":true,
"parallel_process": 2,
"frequency": 50,
"upper_voltage": 1.1,
"lower_voltage":0.9,
"record_every": 4,
"export_voltages": false,
"export_lineloadings": false,
"export_transloadings":false,
"export_start_date": "2018-1-1 0:0:0",
"export_end_date": "2018-1-2 0:0:0",
"volt_var": {
"enabled": false,
"yarray": [0.44,0.44,0,0,-0.44,-0.44],
"xarray": [0.7,0.90,0.95,1.05,1.10,1.3]
},
"log_settings": {
"save_in_file": true,
"log_filename":"system",
"clear_old_log_file": true
}
}
```
**Arguments**
9. Definitions
1. `project_path` - str, path to a project folder
2. `active_project` - str, name of feeder or project inside project folder
3. `active_scenario` - str, name of scenario
4. `dss_filename` - str, master dss filename
5. `start_time` - str, simulation start time
6. `end_time` - str, simulation end time
7. `simulation_time_step (minute)` - int or float, simulation resolution
8. `frequency` - int, can be either 50 or 60
9. `upper_voltage` - float, must be >1.0 and represents overvoltage threshold
10. `lower_voltage` - float, must be <1.0 and represents undervoltage threshold
11. `record_every` - int, multiple of simulation time-step
12. `export_voltages`: bool, set to true if you want to export voltges
13. `export_lineloadings`: bool, set to true if you want to export line loadings
14. `export_transloadings`: bool, set to true if toy want to export transformer loadings
15. `export_start_date`: str, start date for export results ((must be in format "2018-1-1 0:0:0"))
16. `export_end_date`: str, end date for export results (must be in format "2018-1-1 0:0:0"),
17. `volt_var`: dict, volt/var parameters
1. `enabled`: bool, set to true to enable volt var
2. `yarray`: list, refer to opendss manual for volt-var yarray
3. `xarray`: list, refer to opendss manual for volt-var xarray
18. `log_setting` - dict, settings for logging
1. `save_in_file` - bool, true if logs to be saved in file else false
2. `log_folder` - str, folder path where you want to save log file
3. `log_filename` - str, name of the log file
4. `clear_old_log_file` - bool, clears old log file if exists
#### JSON format (Exporting metric for a single scenario - `dssmetrics` package)
```json
{
"dss_filepath": "",
"dss_filename":"",
"extra_data_path": "",
"export_folder":"",
"start_time":"2018-1-1 0:0:0",
"end_time":"2018-6-1 0:0:0",
"simulation_time_step (minute)": 15,
"frequency": 50,
"upper_voltage": 1.1,
"lower_voltage":0.9,
"record_every": 96,
"export_voltages": false,
"export_lineloadings": false,
"export_transloadings":false,
"export_start_date": "2018-1-1 0:0:0",
"export_end_date": "2018-1-2 0:0:0",
"volt_var": {
"enabled": false,
"yarray": [0.44,0.44,0,0,-0.44,-0.44],
"xarray": [0.7,0.90,0.95,1.05,1.10,1.3]
},
"log_settings": {
"save_in_file": false,
"log_folder": "",
"log_filename":"",
"clear_old_log_file": true
}
}
```
**Arguments**
10. Definitions
1. `dss_filepath` - str, folder path containing all .dss files
2. `dss_filename` - str, master dss filename
3. `extra_data_path` - str, folder path containing pickle files and .csv input files
4. `start_time` - str, simulation start time
5. `end_time` - str, simulation end time
6. `simulation_time_step (minute)` - int or float, simulation resolution
7. `frequency` - int, can be either 50 or 60
8. `upper_voltage` - float, must be >1.0 and represents overvoltage threshold
9. `lower_voltage` - float, must be <1.0 and represents undervoltage threshold
10. `record_every` - int, multiple of simulation time-step
11. `export_voltages`: bool, set to true if you want to export voltges
12. `export_lineloadings`: bool, set to true if you want to export line loadings
13. `export_transloadings`: bool, set to true if toy want to export transformer loadings
14. `export_start_date`: str, start date for export results ((must be in format "2018-1-1 0:0:0"))
15. `export_end_date`: str, end date for export results (must be in format "2018-1-1 0:0:0"),
16. `volt_var`: dict, volt/var parameters
16.1. `enabled`: bool, set to true to enable volt var
16.2. `yarray`: list, refer to opendss manual for volt-var yarray
16.3. `xarray`: list, refer to opendss manual for volt-var xarray
14. `log_setting` - dict, settings for logging
17.1. `save_in_file` - bool, true if logs to be saved in file else false
17.2. `log_folder` - str, folder path where you want to save log file
17.3. `log_filename` - str, name of the log file
17.4. `clear_old_log_file` - bool, clears old log file if exists
### JSON format for creating dashboard (`dssdashboard` package)
```json
{
"project_path": "",
"active_project":"",
"time_step(min)":"",
"year": 2018,
"log_filename":"log.log",
"pv_connection": {
"dss_filename": "",
"simulation_time_step (minute)": 15,
"frequency": 50,
"upper_voltage": 1.1,
"lower_voltage":0.9
}
}
```
**Arguments**
2. Definitions
1. `project_path` - str, path to project folder
2. `active_project` - str, name of project of folder inside project folder
3. `time_step(min)` - str, time resolution in minute, same as simulatio time period
5. `year` - int, set the year for load profile analysis
6. `log_filename` - str, path to log file, if not log will be displayed on the screen
7. `pv_connection` - dict, settings for running powerflow
1. `dss_filename`: str, dss file name
2. `simulation_time_step (minute)`: int, simulation resolution in minute,
3. `frequency`: int, frequency can be only 50 or 60
4. `upper_voltage`: float, upper voltage limit
5. `lower_voltage`: float, lower voltage limit
نیازمندی
| مقدار | نام |
|---|---|
| ==1.0.2 | dash-html-components |
| ==4.4.1 | plotly |
| ==0.3.3 | dash-daq |
| ==4.6.0 | dash-table |
| ==1.9.6 | pyproj |
| ==1.9.0 | dash |
| ==0.3.7 | OpenDSSDirect.py |
| ==0.24.2 | pandas |
| ==1.16.4 | numpy |
| ==3.1.0 | matplotlib |
| ==1.8.0 | dash-core-components |
| ==2.3 | networkx |
نحوه نصب
نصب پکیج whl EMeRGE-1.5.1:
pip install EMeRGE-1.5.1.whl
نصب پکیج tar.gz EMeRGE-1.5.1:
pip install EMeRGE-1.5.1.tar.gz