05361nam 2201201z- 450 991055776190332120220111(CKB)5400000000045743(oapen)https://directory.doabooks.org/handle/20.500.12854/76662(oapen)doab76662(EXLCZ)99540000000004574320202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierWind Power Integration into Power Systems: Stability and Control AspectsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (264 p.)3-0365-1610-7 3-0365-1609-3 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.Wind Power Integration into Power SystemsEnergy industries & utilitiesbicsscTechnology: general issuesbicssc3D aerodynamic modelactive power outputartificial neural network (ANN)capacity allocationcapacity configuration of SCEScollaborative capacity planningcontrol parameterscorrection modulescumulant-based method (CBM)DFIGdistributed wind power (DWP)doubly fed induction generatordoubly fed induction generator (DFIG)eigenvalue analysiselectromechanical dynamicselectromechanical loop correlation ratio (ELCR)energy storage system (ESS)error following forget gate-based long short-term memoryESFCWG dynamic correlation ratio (FDCR)FCWG dynamicsFORTRANfrequency controlfrequency response metricsfull-converter windfuzzy clusteringfuzzy logic controllerhybrid prediction modelimpedance modelinginertial responsekinetic energylinear sensitivity-based method (LSM)load frequency control (LFC)long short-term memorylow inertialow voltage ride through (LVRT)model-based operational planningmulti-model predictive controln/aoptimizationparticle swarm optimizationpermanent magnet synchronous generator (PMSG)PSS/Equasi- electromechanical loop correlation ratio (QELCR)regional RoCoFrenewable energy sources (RESs)Reynolds-averaged Navier-Stokes methodrotor overspeed controlscenario analysisstrong interactionsub-synchronous resonancesubsynchronous oscillationsupercapacitor energy storage (SCES)the center of inertiaturbulence modelultra-short-term predictionvariable-structure copulavirtual inertia controlvirtual synchronous generatorwavelet decompositionweak gridswind farmwind generationwind integrationwind powerwind power generationwind turbine wake modelEnergy industries & utilitiesTechnology: general issuesMeegahapola Lasanthaedt1253919Bu SiqiedtMeegahapola LasanthaothBu SiqiothBOOK9910557761903321Wind Power Integration into Power Systems: Stability and Control Aspects3033830UNINA