CURENT · jinningwang · Jan 25, 2024 · Jan 25, 2024 · Jan 25, 2024 · Jan 25, 2024
diff --git a/_layouts/home.html b/_layouts/home.html
@@ -127,7 +127,7 @@ <h2>OVERVIEW</h2>
           AMS for dispatch simulation, AGVis for grid visualization, and DiME for distributed messaging environment.
           These LTB packages can be used individually or in a federated manner, making it a versatile tool for power system research and development.</p>
         <p>Check out the installation and hands-on tutorial at <a href="/showcase/quickstart/" target="_blank">Getting Started with LTB</a>.
-        Take a look on showcase page for more examples of LTB applications at <a href="/showcase/" target="_blank">Showcase</a>.</p>
+        Take a look at the <a href="/showcase/" target="_blank">Showcase</a> page for more examples of LTB applications.</p>
         </p>
       </div>
   </div>
@@ -161,9 +161,13 @@ <h2>Design Philosophy</h2>
       <p>The design philosophy of the LTB is to provide a rapid prototyping environment for power system research and development.
       We kindly ask that you cite the following papers if LTB is used in your research.
       <ol>
-        <li>F. Li, K. Tomsovic and H. Cui, "A Large-Scale Testbed as a Virtual Power Grid: For Closed-Loop Controls in Research and Testing," in IEEE Power and Energy Magazine, vol. 18, no. 2, pp. 60-68, March-April 2020, doi: 10.1109/MPE.2019.2959054.</li>
-        <li>H. Cui, F. Li and K. Tomsovic, "Hybrid Symbolic-Numeric Framework for Power System Modeling and Analysis," in IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 1373-1384, March 2021, doi: 10.1109/TPWRS.2020.3017019.</li>
-        <li>N. Parsly, J. Wang, N. West, Q. Zhang, H. Cui and F. Li, "DiME and AGVis: A Distributed Messaging Environment and Geographical Visualizer for Large-Scale Power System Simulation," 2023 North American Power Symposium (NAPS), Asheville, NC, USA, 2023, pp. 1-5, doi: 10.1109/NAPS58826.2023.10318583.</li>
+        <li>F. Li, K. Tomsovic and H. Cui, "A Large-Scale Testbed as a Virtual Power Grid: For Closed-Loop Controls in Research and Testing,"
+          in IEEE Power and Energy Magazine, vol. 18, no. 2, pp. 60-68, March-April 2020, doi: 10.1109/MPE.2019.2959054.</li>
+        <li>H. Cui, F. Li and K. Tomsovic, "Hybrid Symbolic-Numeric Framework for Power System Modeling and Analysis,"
+          in IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 1373-1384, March 2021, doi: 10.1109/TPWRS.2020.3017019.</li>
+        <li>N. Parsly, J. Wang, N. West, Q. Zhang, H. Cui and F. Li, "DiME and AGVis: A Distributed Messaging Environment and Geographical
+          Visualizer for Large-Scale Power System Simulation," 2023 North American Power Symposium (NAPS), Asheville, NC, USA, 2023, pp. 1-5,
+          doi: 10.1109/NAPS58826.2023.10318583.</li>
       </ol>
       </p>
     </div>

diff --git a/_posts/showcase/2022-05-18-emw.md b/_posts/showcase/2022-05-18-emw.md
@@ -7,12 +7,20 @@ permalink: "/showcase/emw/"
 header: no
 ---
 
-Analytical studies based on continuum models for the 2-D power systems with synchronous generators and constant-power grid-following (GFL) converters.
+# Abstract
+
+High penetration of converter-interfaced renewable energy resources will significantly change the swing dynamics between synchronous generators (SGs) in future power systems. This article examines the impact of high converter penetration on wave-like disturbance propagation arising from sudden generator and load losses in radial (1-D) and meshed (2-D) power systems. To keep the uniformity assumption as converters are introduced, the rating of each SG is decreased with a converter resource making up for the reduction. Numerical simulations demonstrate that as the penetration level of constant-power grid-following (GFL) converters increases, the speed of disturbance propagation increases due to the reduced system inertia. Naturally, converters with the capabilities to positively respond to disturbances would in turn reduce the propagation speed. **Analytical studies based on continuum models are presented for the 2-D system** with SGs and constant-power GFL converters in order to visualize the disturbance propagation and validate numerical simulations based on differential-algebraic equations. In addition, fast active power control of converters can slow down the electromechanical wave (EMW) propagation and even contain it. These concepts are illustrated on the idealized radial and meshed systems and a reduced model of the U.S. eastern interconnection.
 
 ![EMW](/images/showcase/emw.png)
 
 Fig. EMW propagation in the 2-D system based on PDE. (a) and (b) Forward EMW propagation to the edges (t=0.33 s and t=0.56 s,
 respectively). (c) and (d) Continuing propagation to the diagonal node and the subsequent reflections (t=0.77 s and t=0.90 s,
 respectively). (e)–(h) Superposition of reflection waves (t=1.05 s, t=1.20 s, t=1.35 s, and t=1.51 s, respectively)
 
+# Presentation by Dr. Joe Chow
+
+<iframe width="960" height="540" src="https://www.youtube.com/embed/EPEy3ocCDUk" frameborder="0" allowfullscreen></iframe>
+
+# Citation
+
 H. Cui et al., "Disturbance Propagation in Power Grids With High Converter Penetration," in Proceedings of the IEEE, doi: 10.1109/JPROC.2022.3173813.
diff --git a/_posts/showcase/2023-04-18-pre.md b/_posts/showcase/2023-04-18-pre.md
@@ -8,11 +8,11 @@ header: no
 ---
 The 11th Annual Industry Conference took place at the University of Tennessee, Knoxville's Student Center and Min H. Kao Engineering Building on April 18-19, 2023. During the conference, the LTB team showcased the project's latest developments and milestones.
 
-### Poster
+# Poster
 
 ![Poster](/images/showcase/2023pre/Poster_Apr_2023.png)
 
-### Slides
+# Slides
 
 ![Slides1](/images/showcase/2023pre/Slides_Apr_2023_1.png)
 ![Slides2](/images/showcase/2023pre/Slides_Apr_2023_2.png)
@@ -22,12 +22,12 @@ The 11th Annual Industry Conference took place at the University of Tennessee, K
 ![Slides6](/images/showcase/2023pre/Slides_Apr_2023_6.png)
 ![Slides7](/images/showcase/2023pre/Slides_Apr_2023_7.png)
 
-### Contributors
+# Contributors
 
 The following researchers contributed to this demonstration:
 
-- Mr. Jinning Wang presented the demonstration and was involved in its preparation.
-- Mr. Buxin She was also involved in preparing the demonstration.
+- Jinning Wang presented the demonstration and was involved in its preparation.
+- Buxin She was also involved in preparing the demonstration.
 - Dr. Hantao Cui and Mr. Nicholas Parsly provided technical support.
 - Dr. Xin Fang and Dr. Fran Li gave high-level guidance for the demonstration.
 - Dr. Fran Li led the overall demonstration.
diff --git a/_posts/showcase/2023-05-02-ece.md b/_posts/showcase/2023-05-02-ece.md
@@ -8,11 +8,11 @@ header: no
 ---
 Jinning Wang has been invited by Dr. Kevin Tomsovic to give a talk about the usage of LTB in power system analysis for the course ECE 522 - Power Systems Analysis II at the University of Tennessee, Knoxville on May 02, 2023.
 
-### A Hands-on Project
+# A Hands-on Project
 
 An open-source hands-on project for using ANDES in Power System Transient Stability Analysis is availabel at [UTK ECE 522 - Power System Analysis II](https://github.com/CURENT/ece522).
 
-### Presentation Slides
+# Presentation Slides
 
 Recording is available at [Advancing a Decarbonized Power Grid: A Transient Stability Perspective with CURENT LTB](https://www.youtube.com/watch?v=MY0YarBx808&t=890s&ab_channel=CURENTLTB).
 

diff --git a/_posts/showcase/2023-10-16-naps.md b/_posts/showcase/2023-10-16-naps.md
@@ -8,7 +8,7 @@ header: no
 ---
 Jinning Wang presented DiME and AGVis at 2023 NAPS.
 
-### Presentation Slides
+# Presentation Slides
 
 ![Slide1](/images/showcase/2023naps/Slide1.png)
 ![Slide2](/images/showcase/2023naps/Slide2.png)
@@ -20,6 +20,6 @@ Jinning Wang presented DiME and AGVis at 2023 NAPS.
 ![Slide8](/images/showcase/2023naps/Slide8.png)
 ![Slide9](/images/showcase/2023naps/Slide9.png)
 
-### Citation
+# Citation
 
 N. Parsly, J. Wang, N. West, Q. Zhang, H. Cui and F. Li, "DiME and AGVis: A Distributed Messaging Environment and Geographical Visualizer for Large-Scale Power System Simulation," 2023 North American Power Symposium (NAPS), Asheville, NC, USA, 2023, pp. 1-5, doi: 10.1109/NAPS58826.2023.10318583.
diff --git a/_posts/showcase/2024-01-25-evsfr.md b/_posts/showcase/2024-01-25-evsfr.md
@@ -0,0 +1,22 @@
+---
+layout: page-fullwidth
+show_meta: false
+subheadline: ""
+title: "Electric Vehicles Charging Time Constrained Deliverable Provision of Secondary Frequency Regulation"
+permalink: "/showcase/evsfr/"
+header: no
+---
+
+# Abstract
+
+Aggregation of electric vehicles (EVs) is a promising technique for providing secondary frequency regulation (SFR) in highly renewable energy-penetrated power systems. Equipped with energy storage devices, EV aggregation can provide reliable SFR. However, the main challenge is to guarantee reliable intra-interval SFR capacities and inter-interval delivery following the automatic generation control (AGC) signal. Furthermore, aggregated EV SFR provision will be further complicated by the EV charging time anxiety because SFR provision might extend EV’s charging time. This paper proposes a deliverable EV SFR provision with a charging-time-constrained control strategy. First, a charging-time-constrained EV aggregation is proposed to address the uncertainty of EV capacity based on the state-space model considering the charging-time restriction of EV owners. Second, a real-time economic dispatch and time domain simulation (RTED-TDS) cosimulation framework is proposed to verify financial results and the dynamic performance of the EV SFR provision. Last, the proposed charging time-constrained EV aggregation is validated on the IEEE 39-bus system. The results demonstrate that with charging time-constrained EV aggregation, the dynamic performance of the system can be improved with a marginal increase in total cost. More importantly, the charging time constraint can be respected in the proposed SFR provision of the EV aggregation.
+
+![Poster](/images/showcase/evsfr.pdf)
+
+# Contributor
+
+This showcase is contributed by Jinning Wang.
+
+# Citation
+
+J. Wang et al., "Electric Vehicles Charging Time Constrained Deliverable Provision of Secondary Frequency Regulation," in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2024.3356948.
diff --git a/images/showcase/evsfr.pdf b/images/showcase/evsfr.pdf
diff --git a/pages/showcase.md b/pages/showcase.md
@@ -2,7 +2,7 @@
 layout: page-fullwidth
 show_meta: false
 title: "Showcase of LTB"
-subheadline: "Power your research by LTB"
+subheadline: ""
 permalink: "/showcase/"
 header: no
 ---
@@ -23,31 +23,29 @@ header: no
 [Quick Start Guide](/showcase/quickstart/)
 
 ## Research
-
-[Virtual Inertia Scheduling (VIS) for Microgrids with Static and Dynamic Security Constraints by Buxin She](/showcase/microvis/)
-
-[Virtual Inertia Scheduling (VIS) for Real-time Economic Dispatch by Buxin She](/showcase/visrted/)
-
-[Disturbance Propagation in Power Grids With High Converter Penetration by Dr. Hantao Cui](/showcase/emw/)
-
-[Transmission-and-Distribution Co-Simulation Framework by Dr. Xin Fang](/showcase/tdcosim/)
+1. [Electric Vehicles Charging Time Constrained Deliverable Provision of Secondary Frequency Regulation by Jinning Wang](/showcase/evsfr/)
+1. [Virtual Inertia Scheduling (VIS) for Microgrids with Static and Dynamic Security Constraints by Buxin She](/showcase/microvis/)
+1. [Virtual Inertia Scheduling (VIS) for Real-time Economic Dispatch by Buxin She](/showcase/visrted/)
+1. [Disturbance Propagation in Power Grids With High Converter Penetration by Dr. Hantao Cui](/showcase/emw/)
+1. [Transmission-and-Distribution Co-Simulation Framework by Dr. Xin Fang](/showcase/tdcosim/)
 
 ## Presentations and Talks
 
-[DiME and AGVis: Distributed Messaging Environment and Geographical Visualizer for CURENT Large-scale Testbed (LTB) by Jinning Wang](/showcase/naps2023/)
-
-[Advancing a Decarbonized Power Grid: A Transient Stability Perspective with LTB - Talk at UTK ECE522 Course by Jinning Wang](/showcase/ece2023/)
-
-[CURENT Large-scale Testbed (LTB) - A Comprehensive Power System Testing Platform, Presentation at CURENT Industry Conference 2023 by Jinning Wang](/showcase/pre2023/)
-
-[CURENT Large-scale Testbed (LTB), A seminar at Stanford in April 2021 by Dr. Fangxing (Fran) Li](/showcase/pre2021/)
+1. [DiME and AGVis: Distributed Messaging Environment and Geographical Visualizer for CURENT Large-scale Testbed (LTB) by Jinning Wang](/showcase/naps2023/)
+1. [Advancing a Decarbonized Power Grid: A Transient Stability Perspective with LTB - Talk at UTK ECE522 Course by Jinning Wang](/showcase/ece2023/)
+1. [CURENT Large-scale Testbed (LTB) - A Comprehensive Power System Testing Platform, Presentation at CURENT Industry Conference 2023 by Jinning Wang](/showcase/pre2023/)
+1. [CURENT Large-scale Testbed (LTB), A seminar at Stanford in April 2021 by Dr. Fangxing (Fran) Li](/showcase/pre2021/)
 
 ## Publications with LTB Support
 
 ### Journal
 
+1. J. Wang et al., "Electric Vehicles Charging Time Constrained Deliverable Provision of Secondary Frequency Regulation," in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2024.3356948.
 1. B. She, F. Li, H. Cui, J. Wang, Q. Zhang and R. Bo, "Virtual Inertia Scheduling (VIS) for Real-time Economic Dispatch of IBRs-penetrated Power Systems," in IEEE Transactions on Sustainable Energy, doi: 10.1109/TSTE.2023.3319307.
-1. Zhang, Q., Li, F. A Dataset for Electricity Market Studies on Western and Northeastern Power Grids in the United States. *Sci Data*  **10** , 646 (2023). https://doi.org/10.1038/s41597-023-02448-w
+1. J. Pei, J. Wang, Z. Wang and D. Shi, "Precise Recovery of Corrupted Synchrophasors Based on Autoregressive Bayesian Low-Rank Factorization and Adaptive K-Medoids Clustering," in IEEE Transactions on Power Systems, vol. 38, no. 6, pp. 5834-5848, Nov. 2023, doi: 10.1109/TPWRS.2022.3221291.
+1. Zhang, Q., Li, F. A Dataset for Electricity Market Studies on Western and Northeastern Power Grids in the United States. *Sci Data*  **10** , 646 (2023). doi: 10.1038/s41597-023-02448-w.
+1. W. Cui, W. Yang and B. Zhang, "A Frequency Domain Approach to Predict Power System Transients," in IEEE Transactions on Power Systems, vol. 39, no. 1, pp. 465-477, Jan. 2024, doi: 10.1109/TPWRS.2023.3259960.
+1. N. Gao, D. W. Gao and X. Fang, "Manage Real-Time Power Imbalance With Renewable Energy: Fast Generation Dispatch or Adaptive Frequency Regulation?," in IEEE Transactions on Power Systems, vol. 38, no. 6, pp. 5278-5289, Nov. 2023, doi: 10.1109/TPWRS.2022.3232759.
 1. H. Cui et al., "Disturbance Propagation in Power Grids With High Converter Penetration," in Proceedings of the IEEE, doi: 10.1109/JPROC.2022.3173813.
 1. W. Wang, X. Fang, H. Cui, F. Li, Y. Liu and T. J. Overbye, "Transmission-and-Distribution Dynamic Co-Simulation Framework for Distributed Energy Resource Frequency Response," in IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 482-495, Jan. 2022, doi: 10.1109/TSG.2021.3118292.
 1. Y. Zhang et al., "Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning With Region-of-Interest Active Sampling," in IEEE Transactions on Power Systems, vol. 37, no. 3, pp. 1942-1955, May 2022, doi: 10.1109/TPWRS.2021.3110881.
@@ -56,6 +54,10 @@ header: no
 
 ### Conference
 
+1. P. Basnet, X. Fang and N. Panossian, "Impact of Transportation Electrification on the System’s Dynamic Frequency Response," 2023 IEEE Kansas Power and Energy Conference (KPEC), Manhattan, KS, USA, 2023, pp. 1-6, doi: 10.1109/KPEC58008.2023.10215428.
+1. F. Zelaya-Arrazabal, T. Thacker, H. Pulgar-Painemal and Z. Guo, "Supplementary Primary Frequency Control Through Deep Reinforcement Learning Algorithms," 2023 North American Power Symposium (NAPS), Asheville, NC, USA, 2023, pp. 1-6, doi: 10.1109/NAPS58826.2023.10318681.
+1. K. Aleikish and T. Øyvang, "Real-Time Identification of Electromechanical Oscillations via Deep Learning Enhanced Dynamic Mode Decomposition," 2023 IEEE Power & Energy Society General Meeting (PESGM), Orlando, FL, USA, 2023, pp. 1-5, doi: 10.1109/PESGM52003.2023.10252195.
+1. X. Huang, J. -Y. Gwak, L. Yu, Z. Zhang and H. Cui, "Transient Stability Preventive Control via Tuning the Parameters of Virtual Synchronous Generators," 2023 IEEE Power & Energy Society General Meeting (PESGM), Orlando, FL, USA, 2023, pp. 1-5, doi: 10.1109/PESGM52003.2023.10253193.
 1. N. Parsly, J. Wang, N. West, Q. Zhang, H. Cui and F. Li, "DiME and AGVis: A Distributed Messaging Environment and Geographical Visualizer for Large-Scale Power System Simulation," 2023 North American Power Symposium (NAPS), Asheville, NC, USA, 2023, pp. 1-5, doi: 10.1109/NAPS58826.2023.10318583.
 1. Y. Liu et al., "Transmission-Distribution Dynamic Co-simulation of Electric Vehicles Providing Grid Frequency Response," 2022 IEEE Power & Energy Society General Meeting (PESGM), 2022, pp. 1-5, doi: 10.1109/PESGM48719.2022.9917027.
 1. H. Cui and Y. Zhang, "Andes_gym: A Versatile Environment for Deep Reinforcement Learning in Power Systems," 2022 IEEE Power & Energy Society General Meeting (PESGM), 2022, pp. 01-05, doi: 10.1109/PESGM48719.2022.9916967.