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The impact of large-scale wind farms on power system stability should be carefully investigated, in which malfunctions usually exist in the collector line's relay protection. In order to solve this challenging problem, a novel time-domain protection scheme for collector lines, based on random matrix theory (RMT), is proposed in this paper. First, the collected currents are preprocessed to form time series data. Then, a real-time sliding time window is used to form a consecutive time series data matrix. Based on RMT, mean spectral radius (MSR) is used to analyze time series data characteristics after real-time calculations are performed. Case studies demonstrate that RMT is independent from fault locations and fault types. In particular, faulty and non-faulty collector lines can be accurately and efficiently identified compared with traditional protection schemes.
The impact of large-scale wind farms on power system stability should be carefully investigated, in which malfunctions usually exist in the collector line's relay protection. In order to solve this challenging problem, a novel time-domain protection scheme for collector lines, based on random matrix theory (RMT), is proposed in this paper. First, the collected currents are preprocessed to form time series data. Then, a real-time sliding time window is used to form a consecutive time series data matrix. Based on RMT, mean spectral radius (MSR) is used to analyze time series data characteristics after real-time calculations are performed. Case studies demonstrate that RMT is independent from fault locations and fault types. In particular, faulty and non-faulty collector lines can be accurately and efficiently identified compared with traditional protection schemes.
S. A. Saleh, E. Ozkop, and A. S. Aljankawey, “The development of a coordinated anti-islanding protection for collector systems with multiple distributed generation units,” IEEE Transactions on Industry Applications, vol. 52, no. 6, pp. 4656–4667, Nov./Dec. 2016.
X. S. Tian, H. Y. Tang, Y. Li, Y. N. Chi, and Y. Y. Su, “Dynamic stability of weak grid connection of large-scale DFIG based on wind turbines,” The Journal of Engineering, vol. 2017, no. 13, pp. 1092–1097, Dec. 2017.
V. Telukunta, J. Pradhan, A. Agrawal, M. Singh, and S. G. Srivani, “Protection challenges under bulk penetration of renewable energy resources in power systems: A review,” CSEE Journal of Power and Energy Systems, vol. 3, no. 4, pp. 365–379, Dec. 2017.
N. Rezaei, M. N. Uddin, I. K. Amin, M. L. Othman, M. B. Marsadek, and M. M. Hasan, “A novel hybrid machine learning classifier-based digital differential protection scheme for intertie zone of large-scale centralized DFIG-based wind farms,” IEEE Transactions on Industry Applications, vol. 56, no. 4, pp. 3453–3465, Jul./Aug. 2020.
O. P. Mahela, J. Sharma, B. Kumar, B. Khan, and H. H. Alhelou, “An algorithm for the protection of distribution feeders using the Stockwell and Hilbert transforms supported features,” CSEE Journal of Power and Energy Systems, vol. 7, no. 6, pp. 1278–1288, Nov. 2021.
S. Chatterjee and B. K. S. Roy, “Fast identification of symmetrical or asymmetrical faults during power swings with dual use line relays,” CSEE Journal of Power and Energy Systems, vol. 6, no. 1, pp. 184–192, Mar. 2020.
H. Jin, X. Y. Zhang, Y. Zhang, Q. H. Xiao, J. Li, and Y. Liu, “Optimization of wind farm collection line structure under symmetrical grid fault,” Chinese Journal of Electrical Engineering, vol. 5, no. 3, pp. 49–58, Sep. 2019.
A. Saber, “Adaptive fast protection technique for uncompensated/compensated double-circuit transmission lines connected to large-scale wind farms,” IET Renewable Power Generation, vol. 14, no. 13, pp. 2315–2322, Oct. 2020.
T. Zheng, Y. T. Zhao, and Y. F. Zhu, “Overcurrent protection scheme for collector lines in wind farm based on fault component current correlation analysis and multi-agent system,” IET Renewable Power Generation, vol. 14, no. 2, pp. 313–320, Feb. 2020.
W. Jin, Y. P. Lu, and T. Huang, “Improved blocking scheme for CPL current protection in wind farms using the amplitude ratio and phase difference,” IEEE Access, vol. 7, pp. 68060–68070, May 2019.
S. Tao, L. Zhao, Y. B. Liu, and K. Y. Liao, “Impedance network model of D-PMSG based wind power generation system considering wind speed variation for sub-synchronous oscillation analysis,” IEEE Access, vol. 8, pp. 114784–114794, Jun. 2020.
X. He, Q. Ai, R. C. Qiu, W. T. Huang, L. Piao, and H. C. Liu, “A big data architecture design for smart grids based on random matrix theory,” IEEE Transactions on Smart Grid, vol. 8, no. 2, pp. 674–686, Mar. 2017.
W. J. Zhao, H. Li, M. L. Jin, Y. Liu, and S. J. Yoo, “Enhanced detection algorithms based on eigenvalues and energy in random matrix theory paradigm,” IEEE Access, vol. 8, pp. 9457–9468, Jan. 2020.
S. Lakshminarayana, A. Kammoun, M. Debbah, and H. V. Poor, “Data-driven false data injection attacks against power grids: A random matrix approach,” IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 635–646, Jan. 2021.
A. El-Naggar and I. Erlich, “Fault current contribution analysis of doubly fed induction generator-based wind turbines,” IEEE Transactions on Energy Conversion, vol. 30, no. 3, pp. 874–882, Sep. 2015.
M. Nadour, A. Essadki, and T. Nasser, “Improving low-voltage ride-through capability of a multimegawatt DFIG based wind turbine under grid faults,” Protection and Control of Modern Power Systems, vol. 5, no. 1, pp. 33, Dec. 2020.
H. Wu, J. L. Sun, L. W. Qiao, Y. Qiao, Z. X. Lu, and J. Y. Ruan, “Short circuit current characteristics and calculation of current protection setting of feeder lines in wind farms considering LVRT,” Power System Technology, vol. 40, no. 10, pp. 3019–3028, Oct. 2016.
X. P. Kong, Z. Zhang, X. G. Yin, F. Wang, and M. Long, “Study of fault current characteristics of DFIG considering impact of crowbar protection,” Transactions of China Electrotechnical Society, vol. 30, no. 8, pp. 1–10, Apr. 2015.
X. S. Tian, W. S. Wang, X. Li, Y. N. Chi, Y. Li, and H. Y. Tang, “Fault ride through strategy of DFIG using rotor voltage direct compensation control under voltage phase angle jump,” CSEE Journal of Power and Energy Systems, vol. 5, no. 4, pp. 515–523, Dec. 2019.
S. Mensou, A. Essadki, T. Nasser, and B. B. Idrissi, “A direct power control of a DFIG based-WECS during symmetrical voltage dips,” Protection and Control of Modern Power Systems, vol. 5, no. 1, pp. 5, Jan. 2020.
H. S. Shao, X. Cai, Z. Li, D. S. Zhou, S. J. Sun, L. Guo, Y. F. Cao, and F. Q. Rao, “Stability enhancement and direct speed control of DFIG inertia emulation control strategy,” IEEE Access, vol. 7, pp. 120089–120105, Aug. 2019.
X. Y. Xu, X. He, Q. Ai, and R. C. Qiu, “A correlation analysis method for power systems based on random matrix theory,” IEEE Transactions on Smart Grid, vol. 8, no. 4, pp. 1811–1820, Jul. 2017.
X. He, L. Chu, R. C. Qiu, Q. Ai, Z. N. Ling, and J. Zhang, “Invisible units' detection and estimation based on random matrix theory,” IEEE Transactions on Power Systems, vol. 35, no. 3, pp. 1846–1855, May 2020.
B. Yang, J. B. Wang, X. S. Zhang, T. Yu, W. Yao, H. C. Shu, F. Zeng, and L. M. Sun, “Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification,” Energy Conversion and Management, vol. 208, pp. 112595, Mar. 2020.
B. Yang, X. S. Zhang, T. Yu, H. C. Shu, and Z. H. Fang, “Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine,” Energy Conversion and Management, vol. 133, pp. 427–443, Feb. 2017.
X. S. Zhang, Z. Xu, T. Yu, B. Yang, and H. Z. Wang, “Optimal mileage based AGC dispatch of a GenCo,” IEEE Transactions on Power Systems, vol. 35, no. 4, pp. 2516–2526, Jul. 2020,
X. S. Zhang, S. N. Li, T. Y. He, B. Yang, T. Yu, H. F. Li, L. Jiang, and L. M. Sun, “Memetic reinforcement learning based maximum power point tracking design for PV systems under partial shading condition,” Energy, vol. 174, pp. 1079–1090, May 2019.
H. Ming, B. N. Xia, K. Y. Lee, A. Adepoju, S. Shakkottai, and L. Xie, “Prediction and assessment of demand response potential with coupon incentives in highly renewable power systems,” Protection and Control of Modern Power Systems, vol. 5, no. 1, pp. 12, Apr. 2020.
A. S. L. V. Tummala, “A robust composite wide area control of a DFIG wind energy system for damping inter-area oscillations,” Protection and Control of Modern Power Systems, vol. 5, no. 1, pp. 25, Nov. 2020.
X. S. Zhang, T. Yu, B. Yang, and L. Li, “Virtual generation tribe based robust collaborative consensus algorithm for dynamic generation command dispatch optimization of smart grid,” Energy, vol. 101, pp. 34–51, Apr. 2016.
X. S. Zhang, Q. Li, T. Yu, and B. Yang, “Consensus transfer Q-learning for decentralized generation command dispatch based on virtual generation tribe,” IEEE Transactions on Smart Grid, vol. 9, no. 3, pp. 2152–2165, May 2018.
R. Hoerauf, “Considerations in wind farm grounding designs,” IEEE Transactions on Industry Applications, vol. 50, no. 2, pp. 1348–1355, Mar./Apr. 2014.
W. G. Sun, M. Zamani, H. T. Zhang, and Y. Z. Li, “Probabilistic optimal power flow with correlated wind power uncertainty via Markov chain Quasi-Monte-Carlo sampling,” IEEE Transactions on Industrial Informatics, vol. 15, no. 11, pp. 6058–6069, Nov. 2019.
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