{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:04:52Z","timestamp":1766484292073,"version":"build-2065373602"},"reference-count":31,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T00:00:00Z","timestamp":1709078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["52367002","202201BE070001-15"],"award-info":[{"award-number":["52367002","202201BE070001-15"]}]},{"name":"Yunnan Province joint fund key project","award":["52367002","202201BE070001-15"],"award-info":[{"award-number":["52367002","202201BE070001-15"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>The accurate identification of the broadband oscillation mode is the premise of solving the resonance risk of new energy stations. Reviewing the traditional Prony algorithm, the problems of the high model order and poor noise immunity in broadband oscillation mode are identified. The accuracy and running time of the Variational mode decomposition (VMD) is a symmetric trade-off problem. An improved strategy based on VMD is proposed. Firstly, the optimal value of the number of modes and penalty factors obtained by a particle swarm optimization algorithm is input into VMD to decompose the signal into multiple modes. Then, combined with the energy threshold method, the denoising and signal reconstruction of each mode component after decomposition are carried out. Finally, the Prony algorithm is used to identify the oscillation mode of the original signal and the reconstructed signal, respectively. The Signal-to-noise ratio (SNR) and model order are compared and analyzed. Through the analysis of the example and simulation data, it is shown that the proposed method effectively solves the problem of poor engineering adaptability of the traditional Prony algorithm. It also can accurately obtain the time-domain characteristics of broadband oscillation, which has a promising future in the engineering application.<\/jats:p>","DOI":"10.3390\/sym16030278","type":"journal-article","created":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T03:37:57Z","timestamp":1709091477000},"page":"278","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A New Method for the Analysis of Broadband Oscillation Mode of New Energy Stations"],"prefix":"10.3390","volume":"16","author":[{"given":"Cheng","family":"Guo","sequence":"first","affiliation":[{"name":"Faculty of Power Engineering, Kunming University of Science and Technology, Kunming 650500, China"}]},{"given":"Lingrui","family":"Yang","sequence":"additional","affiliation":[{"name":"Faculty of Power Engineering, Kunming University of Science and Technology, Kunming 650500, China"}]},{"given":"Jianbo","family":"Dai","sequence":"additional","affiliation":[{"name":"Faculty of Power Engineering, Kunming University of Science and Technology, Kunming 650500, China"}]},{"given":"Bo","family":"Chen","sequence":"additional","affiliation":[{"name":"Faculty of Power Engineering, Kunming University of Science and Technology, Kunming 650500, China"}]},{"given":"Ke","family":"Yin","sequence":"additional","affiliation":[{"name":"Beijing Xinleineng Technology Co., Ltd., Chengdu Branch, Chengdu 610213, China"}]},{"given":"Jing","family":"Dai","sequence":"additional","affiliation":[{"name":"Faculty of Power Engineering, Kunming University of Science and Technology, Kunming 650500, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,28]]},"reference":[{"key":"ref_1","first-page":"14","article-title":"Roadmap of Realizing the High Penetration Renewable Energy in China","volume":"35","author":"Bai","year":"2015","journal-title":"Proc. CSEE"},{"key":"ref_2","first-page":"10","article-title":"On New Oscillation Issues of Power Systems","volume":"38","author":"Xie","year":"2018","journal-title":"Proc. CSEE"},{"key":"ref_3","first-page":"1","article-title":"Study on Technical Bottleneck of New Energy Development","volume":"37","author":"Chen","year":"2017","journal-title":"Proc. CSEE"},{"key":"ref_4","first-page":"5","article-title":"Wide-area measurement and early warning system for wide-band oscillation in \u201cdouble-high\u201d power systems","volume":"61","author":"Ma","year":"2021","journal-title":"J. Tsinghua Univ. (Sci. Technol.)"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"30","DOI":"10.17775\/CSEEJPES.2016.00019","article-title":"Impacts of PLL on the DFIG-based WTG\u2019s electromechanical response under transient conditions: Analysis and modeling","volume":"2","author":"Zhang","year":"2016","journal-title":"CSEE J. Power Energy Syst."},{"key":"ref_6","unstructured":"Tong, Y., and Yin, Y. (2013). Multi-Scale Simulation and Test Technology of Power System, China Electric Power Press."},{"key":"ref_7","first-page":"1","article-title":"Wide-area Monitoring and Analysis of Subsynchronous Oscillation in Power Systems With High-penetration of Wind Power","volume":"41","author":"Ma","year":"2021","journal-title":"Proc. CSEE"},{"key":"ref_8","first-page":"15","article-title":"Review of broadband Oscillation in Renewable and Power Electronics Highly Integrated Power Systems","volume":"40","author":"Ma","year":"2020","journal-title":"Proc. CSEE"},{"key":"ref_9","first-page":"4","article-title":"Realization of Electromagnetic Real-time Simulation of Large-scale Grid Based on HYPERSIM","volume":"43","author":"Wang","year":"2019","journal-title":"Power Syst. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2224","DOI":"10.1109\/TSG.2018.2792005","article-title":"Synchrophasors-based identification for subsynchronous oscillations in power systems","volume":"10","author":"Zhang","year":"2018","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2662","DOI":"10.1109\/TSG.2019.2959811","article-title":"Interpolated DFT-based identification of sub-synchronous oscillation parameters using synchrophasor data","volume":"11","author":"Yang","year":"2019","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_12","unstructured":"Xu, Y., Liu, H., and Cheng, Y. (2022). Key Influencing Factors on Propagation of Sub-Synchronous Oscillations in AC and DC Grids. Mod. Electr. Power, 1\u201311."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1109\/19.9808","article-title":"A power system digital harmonic analyzer","volume":"37","author":"Mortensen","year":"1988","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"9001813","DOI":"10.1109\/TIM.2021.3052554","article-title":"A Two-Stage Wavelet Decomposition Method for Instantaneous Power Quality Indices Estimation Considering Interharmonics and Transient Disturbances","volume":"70","author":"Yu","year":"2021","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1109\/TSP.2013.2288675","article-title":"Variational Mode Decomposition","volume":"62","author":"Dragomiretskiy","year":"2014","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/TNSRE.2015.2441835","article-title":"EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning","volume":"24","author":"Riaz","year":"2016","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TPWRS.2009.2016478","article-title":"A Refined Hilbert\u2013Huang Transform with Applications to Interarea Oscillation Monitoring","volume":"24","author":"Laila","year":"2009","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"47644","DOI":"10.1109\/ACCESS.2019.2908629","article-title":"An Adaptive TLS-ESPRIT Algorithm Based on an S-G Filter for Analysis of Low Frequency Oscillation in Wide Area Measurement Systems","volume":"7","author":"Chen","year":"2019","journal-title":"IEEE Access"},{"key":"ref_19","first-page":"23","article-title":"Applications and Challenges of Artificial Intelligence in Power System broadband Oscillation","volume":"41","author":"Feng","year":"2021","journal-title":"Proc. CSEE"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"101068","DOI":"10.1109\/ACCESS.2020.2980983","article-title":"Power System Oscillation Mode Prediction Based on the Lasso Method","volume":"8","author":"Mo","year":"2020","journal-title":"IEEE Access"},{"key":"ref_21","first-page":"17","article-title":"A Research Review on Application of Artificial Intelligence in Power System Fault Analysis and Location","volume":"40","author":"He","year":"2020","journal-title":"Proc. CSEE"},{"key":"ref_22","first-page":"122","article-title":"Modal Identification of Low-frequency Oscillation in Power System based on EMO-EDSNN","volume":"44","author":"Ding","year":"2020","journal-title":"Autom. Electr. Power Syst."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Gupta, A.K., and Verma, K. (2016, January 4\u20136). PMU-ANN based real timemonitoring of power system electromechanical oscillations. Proceedings of the 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), Delhi, India.","DOI":"10.1109\/ICPEICES.2016.7853073"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3334","DOI":"10.1109\/TIE.2010.2040553","article-title":"Virtual instrumentation and educational platform for time-varying harmonics and interharmonics detection","volume":"57","author":"Chen","year":"2010","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1062","DOI":"10.1109\/59.119247","article-title":"Application of Prony analysis to the determination of modal content and equivalent models for measured power system response","volume":"6","author":"Hauer","year":"1991","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1109\/TSP.2004.837411","article-title":"Comments on \u201cAn aperiodic phenomenon of the extended Kalman filter in filtering noisy chaotic signals\u201d","volume":"53","author":"Pantaleon","year":"2005","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1109\/LSP.2008.2001815","article-title":"A Wavelet-Denoising Approach Using Polynomial Threshold Operators","volume":"15","author":"Smith","year":"2008","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Janik, P., Rezmer, J., Ruczewski, P., Waclawek, Z., and Lobos, T. (2009, January 9\u201311). Adaptation of SVD and Prony method for precise computation of current components in networks with wind generation. Proceedings of the 2009 International Conference on Clean Electrical Power, Capri, Italy.","DOI":"10.1109\/ICCEP.2009.5211988"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"3077","DOI":"10.1109\/TIM.2017.2664599","article-title":"Early Fault Diagnosis of Rotating Machinery by Combining Differential Rational Spline-Based LMD and K\u2013L Divergence","volume":"66","author":"Li","year":"2017","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_30","first-page":"9001510","article-title":"Harmonic Detection for Active Power Filter Based on Two-Step Improved EEMD","volume":"71","author":"Wang","year":"2022","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_31","first-page":"6A","article-title":"Speech Endpoint Detection Based on Bayseian Decision of Logarithmic Power Spectrum Ratio in High and Low Frequency Band","volume":"48","author":"Zhang","year":"2021","journal-title":"Comput. Sci."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/16\/3\/278\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:06:02Z","timestamp":1760105162000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/16\/3\/278"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,28]]},"references-count":31,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["sym16030278"],"URL":"https:\/\/doi.org\/10.3390\/sym16030278","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2024,2,28]]}}}