Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm
The growing complexity and uncertainty in modern power systems—driven by increased integration of renewable energy sources and variable loads—underscore the need for robust tools to assess dynamic stability. This paper presents an enhanced methodology for modal analysis that combines Adaptive Variat...
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MDPI AG
2025-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/11/2693 |
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| author | José Oscullo Lala Nathaly Orozco Garzón Henry Carvajal Mora Diego Echeverria José Vega-Sánchez Takaaki Ohishi |
| author_facet | José Oscullo Lala Nathaly Orozco Garzón Henry Carvajal Mora Diego Echeverria José Vega-Sánchez Takaaki Ohishi |
| author_sort | José Oscullo Lala |
| collection | DOAJ |
| description | The growing complexity and uncertainty in modern power systems—driven by increased integration of renewable energy sources and variable loads—underscore the need for robust tools to assess dynamic stability. This paper presents an enhanced methodology for modal analysis that combines Adaptive Variational Mode Decomposition (A-VMD) with Prony’s method. A novel energy-based selection mechanism is introduced to determine the optimal number of intrinsic mode functions (IMFs), improving the decomposition’s adaptability and precision. The resulting modes are analyzed to estimate modal frequencies and damping ratios. Validation is conducted using both synthetic datasets and real synchrophasor measurements from Ecuador’s national power grid under ambient and disturbed operating conditions. The proposed approach is benchmarked against established techniques, including a matrix pencil, conventional VMD-Prony, and commercial tools such as WAProtector and DIgSILENT PowerFactory. The results demonstrate that A-VMD consistently delivers more accurate and robust performance, especially for low signal-to-noise ratios and low-energy ambient conditions. These findings highlight the method’s potential for real-time oscillation mode identification and small-signal stability monitoring in wide-area power systems. |
| format | Article |
| id | doaj-art-ed20b48ab0e0433c96dbab3389e514db |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-ed20b48ab0e0433c96dbab3389e514db2025-08-20T02:23:03ZengMDPI AGEnergies1996-10732025-05-011811269310.3390/en18112693Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode AlgorithmJosé Oscullo Lala0Nathaly Orozco Garzón1Henry Carvajal Mora2Diego Echeverria3José Vega-Sánchez4Takaaki Ohishi5Department of Energy, National Polytechnic School, Quito 170525, EcuadorETEL Research Group, Faculty of Engineering and Applied Sciences, Networking and Telecommunications Engineering, Universidad de Las Américas (UDLA), Quito 170503, EcuadorETEL Research Group, Faculty of Engineering and Applied Sciences, Networking and Telecommunications Engineering, Universidad de Las Américas (UDLA), Quito 170503, EcuadorDepartment of Energy, National Polytechnic School, Quito 170525, EcuadorColegio de Ciencias e Ingenierías “El Politécnico”, Universidad San Francisco de Quito (USFQ), Diego de Robles S/N, Quito 170157, EcuadorSchool of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas 13083-852, SP, BrazilThe growing complexity and uncertainty in modern power systems—driven by increased integration of renewable energy sources and variable loads—underscore the need for robust tools to assess dynamic stability. This paper presents an enhanced methodology for modal analysis that combines Adaptive Variational Mode Decomposition (A-VMD) with Prony’s method. A novel energy-based selection mechanism is introduced to determine the optimal number of intrinsic mode functions (IMFs), improving the decomposition’s adaptability and precision. The resulting modes are analyzed to estimate modal frequencies and damping ratios. Validation is conducted using both synthetic datasets and real synchrophasor measurements from Ecuador’s national power grid under ambient and disturbed operating conditions. The proposed approach is benchmarked against established techniques, including a matrix pencil, conventional VMD-Prony, and commercial tools such as WAProtector and DIgSILENT PowerFactory. The results demonstrate that A-VMD consistently delivers more accurate and robust performance, especially for low signal-to-noise ratios and low-energy ambient conditions. These findings highlight the method’s potential for real-time oscillation mode identification and small-signal stability monitoring in wide-area power systems.https://www.mdpi.com/1996-1073/18/11/2693electromechanical modespower system stabilitywide-area measurement systemssignal decompositionvariational mode decomposition |
| spellingShingle | José Oscullo Lala Nathaly Orozco Garzón Henry Carvajal Mora Diego Echeverria José Vega-Sánchez Takaaki Ohishi Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm Energies electromechanical modes power system stability wide-area measurement systems signal decomposition variational mode decomposition |
| title | Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm |
| title_full | Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm |
| title_fullStr | Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm |
| title_full_unstemmed | Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm |
| title_short | Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm |
| title_sort | characterization of power system oscillation modes using synchrophasor data and a modified variational decomposition mode algorithm |
| topic | electromechanical modes power system stability wide-area measurement systems signal decomposition variational mode decomposition |
| url | https://www.mdpi.com/1996-1073/18/11/2693 |
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