Wind Power Integration into Power Systems: Stability and Control Aspects
Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to clean and low-carbon renewable energy sources. Complex stability issues,...
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| Format: | Book Chapter |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 05276naaaa2201129uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_76662 | ||
| 005 | 20220111 | ||
| 020 | |a books978-3-0365-1609-7 | ||
| 020 | |a 9783036516103 | ||
| 020 | |a 9783036516097 | ||
| 024 | 7 | |a 10.3390/books978-3-0365-1609-7 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a TB |2 bicssc | |
| 072 | 7 | |a KNB |2 bicssc | |
| 100 | 1 | |a Meegahapola, Lasantha |4 edt | |
| 700 | 1 | |a Bu, Siqi |4 edt | |
| 700 | 1 | |a Meegahapola, Lasantha |4 oth | |
| 700 | 1 | |a Bu, Siqi |4 oth | |
| 245 | 1 | 0 | |a Wind Power Integration into Power Systems: Stability and Control Aspects |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (264 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to clean and low-carbon renewable energy sources. Complex stability issues, such as frequency, voltage, and oscillatory instability, are frequently reported in the power grids of many countries and regions (e.g., Germany, Denmark, Ireland, and South Australia) due to the substantially increased wind power generation. Control techniques, such as virtual/emulated inertia and damping controls, could be developed to address these stability issues, and additional devices, such as energy storage systems, can also be deployed to mitigate the adverse impact of high wind power generation on various system stability problems. Moreover, other wind power integration aspects, such as capacity planning and the short- and long-term forecasting of wind power generation, also require careful attention to ensure grid security and reliability. This book includes fourteen novel research articles published in this Energies Special Issue on Wind Power Integration into Power Systems: Stability and Control Aspects, with topics ranging from stability and control to system capacity planning and forecasting. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Technology: general issues |2 bicssc | |
| 650 | 7 | |a Energy industries & utilities |2 bicssc | |
| 653 | |a DFIG | ||
| 653 | |a ES | ||
| 653 | |a virtual inertia control | ||
| 653 | |a capacity allocation | ||
| 653 | |a fuzzy logic controller | ||
| 653 | |a wind power generation | ||
| 653 | |a multi-model predictive control | ||
| 653 | |a fuzzy clustering | ||
| 653 | |a virtual synchronous generator | ||
| 653 | |a doubly fed induction generator | ||
| 653 | |a sub-synchronous resonance | ||
| 653 | |a impedance modeling | ||
| 653 | |a renewable energy sources (RESs) | ||
| 653 | |a regional RoCoF | ||
| 653 | |a model-based operational planning | ||
| 653 | |a linear sensitivity-based method (LSM) | ||
| 653 | |a cumulant-based method (CBM) | ||
| 653 | |a collaborative capacity planning | ||
| 653 | |a distributed wind power (DWP) | ||
| 653 | |a energy storage system (ESS) | ||
| 653 | |a optimization | ||
| 653 | |a variable-structure copula | ||
| 653 | |a Reynolds-averaged Navier-Stokes method | ||
| 653 | |a wind turbine wake model | ||
| 653 | |a 3D aerodynamic model | ||
| 653 | |a turbulence model | ||
| 653 | |a correction modules | ||
| 653 | |a hybrid prediction model | ||
| 653 | |a wavelet decomposition | ||
| 653 | |a long short-term memory | ||
| 653 | |a scenario analysis | ||
| 653 | |a weak grids | ||
| 653 | |a full-converter wind | ||
| 653 | |a active power output | ||
| 653 | |a control parameters | ||
| 653 | |a subsynchronous oscillation | ||
| 653 | |a eigenvalue analysis | ||
| 653 | |a doubly fed induction generator (DFIG) | ||
| 653 | |a wind generation | ||
| 653 | |a frequency control | ||
| 653 | |a artificial neural network (ANN) | ||
| 653 | |a error following forget gate-based long short-term memory | ||
| 653 | |a ultra-short-term prediction | ||
| 653 | |a wind power | ||
| 653 | |a load frequency control (LFC) | ||
| 653 | |a wind farm | ||
| 653 | |a particle swarm optimization | ||
| 653 | |a kinetic energy | ||
| 653 | |a inertial response | ||
| 653 | |a low inertia | ||
| 653 | |a the center of inertia | ||
| 653 | |a frequency response metrics | ||
| 653 | |a wind integration | ||
| 653 | |a PSS/E | ||
| 653 | |a FORTRAN | ||
| 653 | |a electromechanical dynamics | ||
| 653 | |a FCWG dynamics | ||
| 653 | |a strong interaction | ||
| 653 | |a electromechanical loop correlation ratio (ELCR) | ||
| 653 | |a FCWG dynamic correlation ratio (FDCR) | ||
| 653 | |a quasi- electromechanical loop correlation ratio (QELCR) | ||
| 653 | |a permanent magnet synchronous generator (PMSG) | ||
| 653 | |a supercapacitor energy storage (SCES) | ||
| 653 | |a rotor overspeed control | ||
| 653 | |a low voltage ride through (LVRT) | ||
| 653 | |a capacity configuration of SCES | ||
| 653 | |a n/a | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4109 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76662 |7 0 |z DOAB: description of the publication |