Special Issue on ‘Large Grid-Connected Wind Turbines’
Source abstract
Abstract
The renewable energy penetration rate to the power grid is rapidly increasing these days [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Wind Turbine Control Systems · Wind Energy Research and Development · Vibration and Dynamic Analysis
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Affiliations
School of Electrical Engineering, Computing, and Mathematical Sciences, Curtin University, Perth 6845, Australia
Department of Energy Technology, Aalborg University, Pontoppidanstraede 111, DK9220 Aalborg, Denmark
References (16)
Show source-provided references
1. (2019, February 12). Renewables 2018—Global Status Report. Available online: http://www.ren21.net/.
2. (2019, February 20). Haliade-X Offshore Wind Turbine Platform. Available online: https://www.ge.com/renewableenergy/wind-energy/turbines/haliade-x-offshore-turbine.
3. Muyeen, S.M., Tamura, J., and Murata, T. (2008). Stability Augmentation of a Grid-Connected Wind Farm, Springer.
4. Wind Energy Systems10.1109/JPROC.2017.2695485 ↗
5. Hazari, M.R., Mannan, M.A., Muyeen, S.M., Umemura, A., Takahashi, R., and Tamura, J. (2017, January 19–22). Transient Stability Augmentation of Hybrid Power System Based on Synthetic Inertia Control of DFIG. Proceedings of the Australasian Universities Power Engineering Conference 2017 (AUPEC2017), Melbourne, Australia.10.1109/AUPEC.2017.8282485 ↗
6. Blaabjerg, F., and Ionel, D.M. (2017). Renewable Energy Devices and Systems with Simulations in MATLAB® and ANSYS®, CRC Press.10.1201/9781315367392 ↗
7. Oshnoei, A., Khezri, R., Muyeen, S.M., and Blaabjerg, F. (2018). On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach. Appl. Sci., 8.10.3390/app8101848 ↗
8. Naderi, S., Davari, P., Zhou, D., Negnevitsky, M., and Blaabjerg, F. (2018). A Review on Fault Current Limiting Devices to Enhance the Fault Ride-Through Capability of the Doubly-Fed Induction Generator Based Wind Turbine. Appl. Sci., 8.10.20944/preprints201809.0538.v1 ↗
9. Shen, Y., Wang, X., and Chen, J. (2018). Wind Power Forecasting Using Multi-Objective Evolutionary Algorithms for Wavelet Neural Network-Optimized Prediction Intervals. Appl. Sci., 8.10.3390/app8020185 ↗
10. Zhu, Y., Zang, H., Cheng, L., and Gao, S. (2018). Output Power Smoothing Control for a Wind Farm Based on the Allocation of Wind Turbines. Appl. Sci., 8.10.3390/app8060980 ↗
11. Tomczewski, A., and Kasprzyk, L. (2018). Optimisation of the Structure of a Wind Farm—Kinetic Energy Storage for Improving the Reliability of Electricity Supplies. Appl. Sci., 8.10.3390/app8091439 ↗
12. Bubshait, A., and GSimões, M. (2018). Optimal Power Reserve of a Wind Turbine System Participating in Primary Frequency Control. Appl. Sci., 8.10.3390/app8112022 ↗
13. Hazari, M., Mannan, M., Muyeen, S., Umemura, A., Takahashi, R., and Tamura, J. (2018). Stability Augmentation of a Grid-Connected Wind Farm by Fuzzy-Logic-Controlled DFIG-Based Wind Turbines. Appl. Sci., 8.10.3390/app8010020 ↗
14. Yang, Z., Chai, Y., Yin, H., and Tao, S. (2018). LPV Model Based Sensor Fault Diagnosis and Isolation for Permanent Magnet Synchronous Generator in Wind Energy Conversion Systems. Appl. Sci., 8.10.3390/app8101816 ↗
15. Li, B., Liu, J., Wang, X., and Zhao, L. (2018). Fault Studies and Distance Protection of Transmission Lines Connected to DFIG-Based Wind Farms. Appl. Sci., 8.10.3390/app8040562 ↗
16. Wang, L., Kerrouche, K., Mezouar, A., Van Den Bossche, A., Draou, A., and Boumediene, L. (2018). Feasibility Study of Wind Farm Grid-Connected Project in Algeria under Grid Fault Conditions Using D-Facts Devices. Appl. Sci., 8.10.3390/app8112250 ↗