05324nam 2201177z- 450 991055776190332120231214133206.0(CKB)5400000000045743(oapen)https://directory.doabooks.org/handle/20.500.12854/76662(EXLCZ)99540000000004574320202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierWind Power Integration into Power Systems: Stability and Control AspectsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic 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 SystemsTechnology: general issuesbicsscEnergy industries & utilitiesbicsscDFIGESvirtual inertia controlcapacity allocationfuzzy logic controllerwind power generationmulti-model predictive controlfuzzy clusteringvirtual synchronous generatordoubly fed induction generatorsub-synchronous resonanceimpedance modelingrenewable energy sources (RESs)regional RoCoFmodel-based operational planninglinear sensitivity-based method (LSM)cumulant-based method (CBM)collaborative capacity planningdistributed wind power (DWP)energy storage system (ESS)optimizationvariable-structure copulaReynolds-averaged Navier-Stokes methodwind turbine wake model3D aerodynamic modelturbulence modelcorrection moduleshybrid prediction modelwavelet decompositionlong short-term memoryscenario analysisweak gridsfull-converter windactive power outputcontrol parameterssubsynchronous oscillationeigenvalue analysisdoubly fed induction generator (DFIG)wind generationfrequency controlartificial neural network (ANN)error following forget gate-based long short-term memoryultra-short-term predictionwind powerload frequency control (LFC)wind farmparticle swarm optimizationkinetic energyinertial responselow inertiathe center of inertiafrequency response metricswind integrationPSS/EFORTRANelectromechanical dynamicsFCWG dynamicsstrong interactionelectromechanical loop correlation ratio (ELCR)FCWG dynamic correlation ratio (FDCR)quasi- electromechanical loop correlation ratio (QELCR)permanent magnet synchronous generator (PMSG)supercapacitor energy storage (SCES)rotor overspeed controllow voltage ride through (LVRT)capacity configuration of SCESTechnology: general issuesEnergy industries & utilitiesMeegahapola Lasanthaedt1253919Bu SiqiedtMeegahapola LasanthaothBu SiqiothBOOK9910557761903321Wind Power Integration into Power Systems: Stability and Control Aspects3033830UNINA