The models within this Modelica package were developed for the paper:
-[1] L. Vanfretti and C.R. Laughman, “Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL,” Invited Paper, submitted to the 2024 8th IEEE Conference on Control Technology and Applications (CCTA), Newcastle upon Tyne, UK, August 21-23, 2024.
+[1] L. Vanfretti and C.R. Laughman, “Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL,” Invited Paper, submitted to the 2024 8th IEEE Conference on Control Technology and Applications (CCTA), Newcastle upon Tyne, UK, August 21-23, 2024, pre-print available at: http://dx.doi.org/10.13140/RG.2.2.17471.11680
The models are an updated and improved version of those presented in the following paper:
[2] Xavier Bombois, Luigi Vanfretti, “Performance monitoring and redesign of power system stabilizers based on system identification techniques,” Sustainable Energy, Grids and Networks, Volume 38, 2024, 101278, ISSN 2352-4677, https://doi.org/10.1016/j.segan.2024.101278 . Author’s Copy: https://hal.science/hal-04338856
-The models were originally developed using similar component models and parameters as the single-machine infinite bus model used in the Example 13.2 in [3], pp. 864-869, implemented using the OpenIPSL library.
[3] P. Kundur, Power System Stability and Control, McGraw-Hill Education, 1994.
+The models were originally developed using similar component models and parameters as the single-machine infinite bus model used in the Example 13.2 in [3], pp. 864-869, implemented using the OpenIPSL library.
+[3] P. Kundur, Power System Stability and Control, McGraw-Hill Education, 1994.
Please refer to these publications for more information.
If you use these models, please cite papers [1-2] listed above.
")); diff --git a/Example2/References/package.mo b/Example2/References/package.mo index a86dc15..880fa75 100644 --- a/Example2/References/package.mo +++ b/Example2/References/package.mo @@ -3,9 +3,9 @@ package References "Reference papers." extends Modelica.Icons.References; annotation(preferredView="info", Documentation(info="The models within this Modelica package were developed for the paper:
-[1] L. Vanfretti and C.R. Laughman, “Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL,” Invited Paper, submitted to the 2024 8th IEEE Conference on Control Technology and Applications (CCTA), Newcastle upon Tyne, UK, August 21-23, 2024.
+[1] L. Vanfretti and C.R. Laughman, “Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL,” Invited Paper, submitted to the 2024 8th IEEE Conference on Control Technology and Applications (CCTA), Newcastle upon Tyne, UK, August 21-23, 2024, pre-print available at: http://dx.doi.org/10.13140/RG.2.2.17471.11680
The models are an updated and improved version of those presented in the paper:
-[2] L. Vanfretti and X. Bombois, "Power System Oscillation Monitoring and Damping Control Re-Design under Ambient Conditions and Multiple Operating Points," manuscript submitted to 20th IFAC Symposium on System Identification. Nov. 10, 2023, pre-print of submitted article available at: https://hal.science/hal-04283210
+[2] L. Vanfretti and X. Bombois, "Power System Oscillation Monitoring and Damping Control Re-Design under Ambient Conditions and Multiple Operating Points," manuscript submitted to 20th IFAC Symposium on System Identification. Nov. 10, 2023, pre-print of submitted article available at: http://dx.doi.org/10.13140/RG.2.2.22504.28166
The models in this package have been substantially modified and documented so that they can be reused by third parties. There may exist some differences in the original and the current version due to enhancements and modification that were required to make them more user-friendly.
Finally, observed that the models used in [2] were updated to apply control redesign techniques presented in the following publication [3]. Note that the models and scenarios presented in [2] are more complex model than that used in [3].
[3] Xavier Bombois, Luigi Vanfretti, “Performance monitoring and redesign of power system stabilizers based on system identification techniques,” Sustainable Energy, Grids and Networks, Volume 38, 2024, 101278, ISSN 2352-4677, https://doi.org/10.1016/j.segan.2024.101278 . Author’s Copy: https://hal.science/hal-04338856
diff --git a/README.md b/README.md index dd55e89..e6c5051 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,7 @@ The documentation for each of the models is embedded within the "info" layer of For further information on the models uses and applications, please refer to the following publications: 1. L. Vanfretti and C.R. Laughman, “Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL,” Invited Paper, submitted for review to the 2024 8th IEEE Conference on Control Technology and Applications (CCTA), Newcastle upon Tyne, UK, August 21-23, 2024. Pre-print: March 2024, DOI: [10.13140/RG.2.2.17471.11680](http://dx.doi.org/10.13140/RG.2.2.17471.11680). - 2. L. Vanfretti and X. Bombois, "Power System Oscillation Monitoring and Damping Control Re-Design under Ambient Conditions and Multiple Operating Points," manuscript submitted to 20th IFAC Symposium on System Identification. Nov. 10, 2023, pre-print of submitted article available at: [https://hal.science/hal-04283210](https://hal.science/hal-04338856) + 2. L. Vanfretti and X. Bombois, "Power System Oscillation Monitoring and Damping Control Re-Design under Ambient Conditions and Multiple Operating Points," manuscript submitted to 20th IFAC Symposium on System Identification. Nov. 10, 2023, pre-print of submitted article available at: [http://dx.doi.org/10.13140/RG.2.2.22504.28166](http://dx.doi.org/10.13140/RG.2.2.22504.28166) 3. X. Bombois and L. Vanfretti, “Performance monitoring and redesign of power system stabilizers based on system identification techniques,” Sustainable Energy, Grids and Networks, Volume 38, 2024, 101278, ISSN 2352-4677, [https://doi.org/10.1016/j.segan.2024.101278](https://doi.org/10.1016/j.segan.2024.101278). Author’s Copy: [https://hal.science/hal-04338856](https://hal.science/hal-04338856) (c) 2024, Luigi Vanfretti, Rensselaer Polytechnic Institute, Troy, NY, USA and Chrisopher R. Laughman, Mitsubishi Electric Research Labs., Cambridge, MA, USA. \ No newline at end of file