diff --git a/README.md b/README.md index 1616b5a..73e9b57 100755 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # CURENT LTB Web -![Last Updated](https://img.shields.io/github/last-commit/CURENT/curent.github.io.svg?label=last%20update) [![pages-build-deployment](https://github.com/CURENT/curent.github.io/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/CURENT/curent.github.io/actions/workflows/pages/pages-build-deployment) +![Last Updated](https://img.shields.io/github/last-commit/CURENT/curent.github.io.svg?label=last%20update) [![pages-build-deployment](https://github.com/CURENT/curent.github.io/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/CURENT/curent.github.io/actions/workflows/pages/pages-build-deployment) [![LTB Web Tests](https://github.com/CURENT/curent.github.io/actions/workflows/ltbweb.yml/badge.svg?branch=develop)](https://github.com/CURENT/curent.github.io/actions/workflows/ltbweb.yml) The LTB website is built using the Jekyll Theme [Feeling Responsive](https://github.com/Phlow/feeling-responsive). @@ -12,9 +12,9 @@ The content of most pages is written in Markdown, as seen in files stored in the ### Structure -- **Homepage**: [LTB](_layouts/about.html) serves as the homepage of the website. -- **Product**: in Product, it contains more sub-pages stored in `_posts/product`. -- **Showcase**: in Showcase, it contains more sub-pages stored in `_posts/showcase`. +- **Homepage**: `_layouts/about.html` serves as the homepage of the website. It is revised directly in the HTML file for greater flexibility. +- **Product**: in Product, it contains more sub-pages stored in `_posts/product.md`. +- **Showcase**: in Showcase, it contains more sub-pages stored in `_posts/showcase.md`. ### Configurations diff --git a/_layouts/about.html b/_layouts/about.html deleted file mode 100755 index 7155c7b..0000000 --- a/_layouts/about.html +++ /dev/null @@ -1,51 +0,0 @@ ---- -layout: default -format: home ---- - -
-
-

Our Journey So Far: A Brief Look at LTB's Development

-

Around 2014-2015, a few years after the creation of the CURENT research center, the center - director Dr. Kevin Tomsovic initiated the idea of developing a software-based, closed-loop testbed for CURENT. - Since he was the overall director of CURENT with a super busy schedule, Dr. Tomsovic asked Dr. Fran Li to lead the - development work of what is now called CURENT Large-scale Testbed (LTB) or CLTB.

-

In the first a couple of years of CLTB development, the team developed models of the North American power grid - including WECC and reduced EI operation and planning models with various renewable energy penetration scenarios. A - nationwide HVDC overlay, inspired by the MISO HVDC overlay topology, was also created. Meanwhile, external simulation - engines were employed with in-house scripts to form a closed-loop simulation study on CLTB’s own North American models. - Also, initial versions of CLTB visualizer and data transfer package called DiME were developed and integrated into - the CLTB platform.

-

Around 2017, the CLTB team decided to develop our own dynamic simulation engine called ANDES to achieve flexibility - of the CLTB platform. Dr. Hantao Cui has been the lead developer of ANDES since then. He first developed the initial - version in Python and then advanced ANDES with a symbolic programming library. Now, ANDES serves as a cornerstone - package in CLTB and can be used as a standalone dynamic simulation tool as well. Dr. Hantao Cui has been maintaining - the ANDES package. Jinning Wang joined the effort as a helper since 2021.

-

Around the same timeframe from 2018 to 2023, newer versions of DiME and visualizer (now called AGVis) were developed. - Several key contributors include Nick West, Nicholas Parsly, and Jinning Wang.

-

Currently, in spring 2023, the CLTB team is working on the development of a new package called AMS which is an - economic dispatch and market simulation package. It is expected to be integrated with ANDES to perform co-simulation - of economic dispatch and dynamic simulation to form a true “digital twin” across multi-timescale. The next version - of CLBT will include ANDES, AMS, DiME and AGVis which is expected to be released in fall 2023.

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Research Collaborations

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Are you looking for a partner to advance your research in power systems simulation and analysis? - CURENT LTB is a team of experts committed to advancing the state of the art in power systems technology, - and we welcome collaborations with academic institutions, research organizations, and industry partners.

-

Our research collaborations cover a wide range of topics:

- -

To learn more about our research collaborations and how we can work together, contact Dr. Fran Li at - fli6@utk.edu. We look forward to hearing from you!

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+

2023 NAPS Best Graduate Paper Award

+

Jinning Wang presented CURENT LTB packages, AGVis, and DiME, on the 55th Annual North American Power Symposium (NAPS) in Asheville, North Carolina. The paper titled "DiME and AGVis: A Distributed Messaging Environment and Geographical Visualizer for Large-Scale Power System Simulation" was awarded the Best Paper Graduate Award at the conference.

+ +
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+ 2023NAPS +
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+ +
+
+

2020 R&D 100

+

The CURENT Large Scale Testbed (LTB) for cyber-physical power grid simulation led by the CURENT research center (headquartered at The University of Tennessee) has been selected as a recipient of the 2020 R&D 100 Awards, which are known as the most prestigious innovation awards program for the past 56 years, honoring 100 great R&D revolutionary ideas and products each year in science and technology.

+
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+ 2023NAPS +
+
+ +# Our Journey So Far: A Brief Look at LTB's Development + +Around 2014-2015, a few years after the creation of the CURENT research center, the center director Dr. Kevin Tomsovic initiated the idea of developing a software-based, closed-loop testbed for CURENT. +Since he was the overall director of CURENT with a super busy schedule, Dr. Tomsovic asked Dr. Fran Li to lead the development work of what is now called CURENT Large-scale Testbed (LTB) or CLTB. + +In the first a couple of years of CLTB development, the team developed models of the North American power grid including WECC and reduced EI operation and planning models with various renewable energy penetration scenarios. +A nationwide HVDC overlay, inspired by the MISO HVDC overlay topology, was also created. +Meanwhile, external simulation engines were employed with in-house scripts to form a closed-loop simulation study on CLTB’s own North American models. + +Around 2017, the CLTB team decided to develop our own dynamic simulation engine called ANDES to achieve flexibility of the CLTB platform. +Dr. Hantao Cui has been the lead developer of ANDES since then. +He first developed the initial version in Python and then advanced ANDES with a symbolic programming library. +Now, ANDES serves as a cornerstone package in CLTB and can be used as a standalone dynamic simulation tool as well. +Dr. Hantao Cui has been maintaining the ANDES package. +Jinning Wang joined the effort as a helper since 2021. +Around the same timeframe from 2018 to 2023, newer versions of DiME and visualizer (now called AGVis) were developed. +Several key contributors include Nick West, Nicholas Parsly, and Jinning Wang. + +In spring 2023, the CLTB team was working on the development of a new package called AMS which is an economic dispatch and market simulation package. +It is designed to be integrated with ANDES to perform co-simulation of economic dispatch and dynamic simulation to form a true “digital twin” across multi-timescale. + +# Research Collaborations + +Are you looking for a partner to advance your research in power systems simulation and analysis? +CURENT LTB has a team of experts committed to advancing the state of the art in power systems technology, and we welcome collaborations with academic institutions, research organizations, and industry partners. +Our research collaborations cover a wide range of topics: +- Power system dynamics and high-performance computing +- Cyber-physical power grid and communication co-simulation, and hardware-in-the-loop control +- Deep learning methods and applications in non-linear dynamic system operation and control +- Microgrid and smart distribution system control with distributed energy resources +- Dispatch-dynamic co-simulation for a comprehensive understanding of power system behavior +- Distributed energy resources for grid services + +To learn more about our research collaborations and how we can work together, contact Dr. Fran Li at fli6@utk.edu. We look forward to hearing from you! diff --git a/pages/product.md b/pages/product.md index 08350ac..96296e4 100644 --- a/pages/product.md +++ b/pages/product.md @@ -11,15 +11,21 @@ LTB platform contains aims a set of power system analysis packages for research # Packages -| | ANDES | AMS | AGVis | DiME | -|---------------:|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Codacy Grade | [ ![Grade-ANDES]( https://api.codacy.com/project/badge/Grade/17b8e8531af343a7a4351879c0e6b5da ) ]( https://app.codacy.com/app/cuihantao/andes?utm_source=github.com&utm_medium=referral&utm_content=cuihantao/andes&utm_campaign=Badge_Grade_Dashboard ) | [![Grade-AMS]( https://app.codacy.com/project/badge/Grade/69456da1b8634f2f984bd769e35f0050 ) ]( https://app.codacy.com/gh/CURENT/ams/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade ) | [ ![Grade-AGVis]( https://app.codacy.com/project/badge/Grade/8fbf0bc95f784af09c3dc5ce36b20a04 ) ]( https://app.codacy.com/gh/CURENT/agvis/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade ) | [ ![Grade-DiME](https://app.codacy.com/project/badge/Grade/a43bcec26c544c7e82355d01571020d6)](https://app.codacy.com/gh/CURENT/dime/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade) | -| Conda Download | [ ![Conda-ANDES](https://anaconda.org/conda-forge/andes/badges/downloads.svg)](https://anaconda.org/conda-forge/andes) | | | | -| PyPI Download | ![ PyPI-ANDES](https://img.shields.io/pypi/dm/andes?link=https%3A%2F%2Fpypi.org%2Fproject%2Fandes%2F) | ![ PyPI-AMS ]( https://img.shields.io/pypi/dm/ltbams?link=https%3A%2F%2Fpypi.org%2Fproject%2Fandes%2F ) | ![ PyPI-AGVis ]( https://img.shields.io/pypi/dm/agvis?link=https%3A%2F%2Fpypi.org%2Fproject%2Fandes%2F ) | | -| Documentation | [ ![Doc-ANDES]( https://readthedocs.org/projects/andes/badge/?version=latest ) ]( https://andes.readthedocs.io/en/latest/?badge=latest ) | [ ![Doc-AMS]( https://readthedocs.org/projects/ams/badge/?version=latest ) ]( https://ltb.readthedocs.io/projects/ams/en/latest/?badge=latest ) | [ ![Doc AGVis]( https://readthedocs.org/projects/ltbdime/badge/?version=latest ) ]( https://ltb.readthedocs.io/projects/dime/en/latest/?badge=latest ) | [ ![Doc-DiME]( https://readthedocs.org/projects/ltbdime/badge/?version=latest ) ]( https://ltb.readthedocs.io/projects/dime/en/latest/?badge=latest ) | -| GitHub Action | [ ![GA-ANDES]( https://github.com/curent/andes/workflows/Python%20application/badge.svg ) ]( https://github.com/curent/andes/actions ) | [ ![GA-AMS]( https://github.com/CURENT/ams/workflows/Python%20application/badge.svg ) ]( https://github.com/curent/ams/actions ) | | | +| | ANDES | AMS | AGVis | DiME | +|--------------------------:|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| Codacy Grade | [ ![Grade-ANDES]( https://api.codacy.com/project/badge/Grade/17b8e8531af343a7a4351879c0e6b5da ) ]( https://app.codacy.com/app/cuihantao/andes?utm_source=github.com&utm_medium=referral&utm_content=cuihantao/andes&utm_campaign=Badge_Grade_Dashboard ) | [![Grade-AMS]( https://app.codacy.com/project/badge/Grade/69456da1b8634f2f984bd769e35f0050 ) ]( https://app.codacy.com/gh/CURENT/ams/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade ) | [ ![Grade-AGVis]( https://app.codacy.com/project/badge/Grade/8fbf0bc95f784af09c3dc5ce36b20a04 ) ]( https://app.codacy.com/gh/CURENT/agvis/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade ) | [ ![Grade-DiME](https://app.codacy.com/project/badge/Grade/a43bcec26c544c7e82355d01571020d6)](https://app.codacy.com/gh/CURENT/dime/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade) | +| Conda Download | [![Conda Version](https://anaconda.org/conda-forge/andes/badges/version.svg)](https://anaconda.org/conda-forge/andes) | | | | +| PyPI Download | [![PyPI-ANDES](https://img.shields.io/pypi/v/andes)](https://pypi.org/project/andes/) | [![PyPI-AMS](https://img.shields.io/pypi/v/ltbams)](https://pypi.org/project/ltbams/) | [![PyPI-AGVis](https://img.shields.io/pypi/v/agvis)](https://pypi.org/project/agvis/) | | +| Documentation | [ ![Doc-ANDES]( https://readthedocs.org/projects/andes/badge/?version=latest ) ]( https://andes.readthedocs.io/en/latest/?badge=latest ) | [ ![Doc-AMS]( https://readthedocs.org/projects/ams/badge/?version=latest ) ]( https://ltb.readthedocs.io/projects/ams/en/latest/?badge=latest ) | [ ![Doc AGVis]( https://readthedocs.org/projects/ltbdime/badge/?version=latest ) ]( https://ltb.readthedocs.io/projects/dime/en/latest/?badge=latest ) | [ ![Doc-DiME]( https://readthedocs.org/projects/ltbdime/badge/?version=latest ) ]( https://ltb.readthedocs.io/projects/dime/en/latest/?badge=latest ) | +| GitHub Action | [ ![GA-ANDES]( https://github.com/curent/andes/workflows/Python%20application/badge.svg ) ]( https://github.com/curent/andes/actions ) | [ ![GA-AMS]( https://github.com/CURENT/ams/workflows/Python%20application/badge.svg ) ]( https://github.com/curent/ams/actions ) | | | # Datasets Datasets for ANDES, AMS, and AGVis are shipped with the respective packages. A summary table is comming soon. + +# User Experience Survey + +We are conducting a user experience survey to better understand the needs of our users. + +The 5-min survey is in Google Forms and constantly open for participation, [take the survey](https://docs.google.com/forms/d/e/1FAIpQLSevqXhwgZN1Ti7hDGyLlZc_O_ItT0aWDcMIbdst9_tFjQdf2w/viewform?usp=pp_url&entry.674898372=Yes,+with+my+affiliation+publicly&entry.906600198=University+of+Tennessee,+Knoxville&entry.1011451186=Jinning+Wang,+jwang175@vols.utk.edu&entry.2053374919=Student&entry.684954545=Colleagues+or+friends&entry.923622624=ANDES&entry.1775704341=Academic+research&entry.643024236=10.1109/TSG.2024.3356948&entry.1127139035=4&entry.990272755=Yes).