SolarPV-DER-simulation-tool

Allows user to run dynamics simulations for solar photovoltaic distributed energy resource connected to a stiff voltage source or to an external program. It allows modifying DER parameters, introducing external disturbance events, and visualizing the simulation results. The PV-DER (inverter) is modeled using dynamic phasor concept.

https://github.com/tdcosim/SolarPV-DER-simulation-tool

Science Score: 20.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: researchgate.net
  • Committers with academic emails
    3 of 4 committers (75.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.7%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Allows user to run dynamics simulations for solar photovoltaic distributed energy resource connected to a stiff voltage source or to an external program. It allows modifying DER parameters, introducing external disturbance events, and visualizing the simulation results. The PV-DER (inverter) is modeled using dynamic phasor concept.

Basic Info
  • Host: GitHub
  • Owner: tdcosim
  • License: other
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 3.13 MB
Statistics
  • Stars: 39
  • Watchers: 6
  • Forks: 6
  • Open Issues: 2
  • Releases: 0
Created over 7 years ago · Last pushed almost 3 years ago
Metadata Files
Readme Changelog License

README.md

Status: Expect regular updates and bug fixes.

Tool for simulating dynamics of PV-DER

Build Status PyPI - Downloads CodeFactor

Solar photovoltaic distributed energy resources (PV-DER) are power electronic inverter based generation (IBG) connected to the electric power distribution system (eg. roof top solar PV systems). This tool can be used to simulate the dynamics of a single DER connected to a stiff voltage source as shown in the following schematic:

schematic of PV-DER

Basics

The dynamics of the DER are modelled using dynamic phasors. Detailed description of the concepts behind this tool can be found in the IEEE publication Dynamic Modeling of Solar PV Systems for Distribution System Stability Analysis and detailed list of equations can be found in the Model specification document.

Features

The following features are available currently: 1. Single phase, three phase balanced, and three phase unbalanced (phase voltages may be unbalanced) DER models. 2. Run simulation in stand alone mode with internal grid voltage source (stiff) model. 3. Run simulation in loop mode where grid voltage is supplied every time step by a third party program. 4. Customize all aspects of the model through a JSON file which provides access to parameters in all the model components. 5. Visualize or retrieve simulation results for voltages, current, active, and reactive power. 5. Introduce solar insolation events (in all modes), grid voltage, and frequency change events (in stand alone mode). 6. Retrieve and modify model parameters from a third party program. 7. Following smart inverter features are available: Low/High voltage ride through (LVRT/HVRT), Low frequency ride through (LFRT), and Volt-VAR control logic.

Links

  • Source code repository: https://github.com/sibyjackgrove/SolarPV-DER-simulation-tool
  • API Documentation: https://solarpv-der-simulation-utility.readthedocs.io/en/latest/
  • Additional documentation: Description of attributes and methods

Installation

Dependencies:

  • SciPy >= 1.2.1
  • Numpy >= 1.16.2
  • Matlplotlib >= 3.0.3

Install latest release: pip install pvder

Install from source: git clone https://github.com/tdcosim/SolarPV-DER-simulation-tool.git cd SolarPV-DER-simulation-tool pip install -e .

Use cases

Following projects are using Solar PV-DER simulation tool: 1. Argonne Transmission and Distribution systems Co-Simulation tool (TDcoSim) 2. OpenAI Gym Distributed Energy Resource Environment (Gym-DER)

Using the tool

This tool can be imported as a normal python module:

python import pvder

Using the stand alone single phase DER model with 10 kW power rating

The following steps are required. Additional documentation on attributes and methods are available here. 1. First import the following classes: from pvder.DER_components_single_phase import SolarPV_DER_SinglePhase from pvder.grid_components import Grid from pvder.dynamic_simulation import DynamicSimulation from pvder.simulation_events import SimulationEvents from pvder.simulation_utilities import SimulationResults 1. Create a SimulationEvents object: This object is used to add or remove disturbance events occurs during the simulation. events = SimulationEvents() 2. Create a Grid object: This object describes the steady state model for the grid voltage source. It needs to be supplied with an SimulationEvents object. grid = Grid(events=events) 3. Create a SolarPVDERSinglePhase or SolarPVDERThreePhase object: This object describes the dynamic DER model. It needs both an SimulationEvents object, and a path name for JSON file containing the DER configuration parameters. It also needs a Grid object in stand alone mode). Additionaly either the power rating of the DER or the id for the parameter dictionary should be provided. PV_DER = SolarPV_DER_SinglePhase(events=events,configFile=r'config_der.json',gridModel=grid,derId= '10',standAlone = True) 4. Create a DynamicSimulation object: This object runs the simulation and stores the solution. It takes SimulationEvents, Grid and, SolarPVDERSinglePhase objects as arguments. sim = DynamicSimulation(grid_model=grid,PV_model=PV_DER,events = events) 5. Create a SimulationResults object: This object is used to visualize the simulation results. results = SimulationResults(simulation = sim) 6. Add an event (for e.g. solar insolation change at 10.0 s): events.add_solar_event(10,90) 7. Specify simulation flags (for e.g. set the DEBUGSIMULATION and DEBUGPOWER flag to true to observe the power at each time step.): sim.DEBUG_SIMULATION = False sim.DEBUG_POWER = False 8. Specify simulation stop time (for e.g. 20.0 s): sim.tStop = 20.0 9. Run the simulation: sim.run_simulation() 10. Visualize the results (for e.g. the power output at PCC-LV side): results.PER_UNIT = False results.plot_DER_simulation(plot_type='active_power_Ppv_Pac_PCC')

Examples

Try out Jupyter notebooks with usage examples in Google Colab:

Basic usage: Basic usage

Running simulation in loop mode: Updating model parameters

Updating model parameters: Updating model parameters

Voltage anomaly, ride through, and momentary cessation: Voltage anomaly

Frequency anomaly, ride through, and trip: Frequency anomaly

Module details

A schematic of the relationship between differen classes in the module is shown in the figure below: schematic of software architecture

Issues

Please feel free to raise an issue for bugs or feature requests.

Who is responsible?

Core developer: - Siby Jose Plathottam splathottam@anl.gov

Contributor:

  • Karthikeyan Balasubramaniam kbalasubramaniam@anl.gov

Acknowledgement

This project was supported by Kemal Celik, U.S. DOE Office of Electricity, Solar Energy Technology Office through the SuNLaMP program.

The authors would like to acknowledge Shrirang Abhyankar and Puspal Hazra for their contribution.

Citation

If you use this code please cite it as: @misc{pvder, title = {{SolarPV-DER-simulation-tool}: A simulation tool for or solar photovoltaic distributed energy resources}, author = "{Siby Jose Plathottam,Karthikeyan Balasubramaniam}", howpublished = {\url{https://github.com/sibyjackgrove/SolarPV-DER-simulation-tool}}, url = "https://github.com/sibyjackgrove/SolarPV-DER-simulation-tool", year = 2019, note = "[Online; accessed 19-March-2019]" }

Copyright and License

Copyright © 2019, UChicago Argonne, LLC

Photovoltaic Distributed Energy Resource (PV-DER) Simulation tool is distributed under the terms of BSD-3 OSS License.

Owner

  • Name: TDcoSim Team
  • Login: tdcosim
  • Kind: organization
  • Email: kbalasubramaniam@anl.gov
  • Location: Chicago

PSSE + OpenDSS + DER co-simulation project

GitHub Events

Total
  • Watch event: 4
Last Year
  • Watch event: 4

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 200
  • Total Committers: 4
  • Avg Commits per committer: 50.0
  • Development Distribution Score (DDS): 0.255
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Siby Jose Plathottam s****e@g****m 149
Plathottam s****m@a****v 48
Karthik k****m@a****v 2
Yim y****m@a****v 1
Committer Domains (Top 20 + Academic)
anl.gov: 3

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 16
  • Total pull requests: 21
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 3 hours
  • Total issue authors: 4
  • Total pull request authors: 2
  • Average comments per issue: 1.81
  • Average comments per pull request: 0.19
  • Merged pull requests: 19
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • sibyjackgrove (9)
  • AadilLatif (4)
  • faezahafiz (2)
  • Inalvis (1)
Pull Request Authors
  • sibyjackgrove (19)
  • Khanyisa-Ngejane (1)
Top Labels
Issue Labels
enhancement (11) bug (5) question (1) good first issue (1)
Pull Request Labels
enhancement (14) bug (4)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 139 last-month
  • Total dependent packages: 2
  • Total dependent repositories: 1
  • Total versions: 9
  • Total maintainers: 2
pypi.org: pvder

Utility for simulating PV-DER

  • Versions: 9
  • Dependent Packages: 2
  • Dependent Repositories: 1
  • Downloads: 139 Last month
Rankings
Dependent packages count: 7.3%
Stargazers count: 11.3%
Downloads: 11.7%
Average: 13.3%
Forks count: 14.3%
Dependent repos count: 22.1%
Maintainers (2)
Last synced: 11 months ago

Dependencies

docs/requirements.txt pypi
  • ipykernel *
  • nbsphinx *
  • nbsphinx-link *
  • sphinx >=1.4
  • sphinx-rtd-theme *
requirements.txt pypi
  • matplotlib >=2.2.2
  • numpy >=1.15.1
  • scipy >=1.0.0
  • xlsxwriter >=1.1.5
setup.py pypi
  • matplotlib >=2.0.2
  • numpy >=1.15.1
  • scipy >=1.0.0