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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.

DFIG --- ES --- virtual inertia control --- capacity allocation --- fuzzy logic controller --- wind power generation --- multi-model predictive control --- fuzzy clustering --- virtual synchronous generator --- doubly fed induction generator --- sub-synchronous resonance --- impedance modeling --- renewable energy sources (RESs) --- regional RoCoF --- model-based operational planning --- linear sensitivity-based method (LSM) --- cumulant-based method (CBM) --- collaborative capacity planning --- distributed wind power (DWP) --- energy storage system (ESS) --- optimization --- variable-structure copula --- Reynolds-averaged Navier–Stokes method --- wind turbine wake model --- 3D aerodynamic model --- turbulence model --- correction modules --- hybrid prediction model --- wavelet decomposition --- long short-term memory --- scenario analysis --- weak grids --- full-converter wind --- active power output --- control parameters --- subsynchronous oscillation --- eigenvalue analysis --- doubly fed induction generator (DFIG) --- wind generation --- frequency control --- artificial neural network (ANN) --- error following forget gate-based long short-term memory --- ultra-short-term prediction --- wind power --- load frequency control (LFC) --- wind farm --- particle swarm optimization --- kinetic energy --- inertial response --- low inertia --- the center of inertia --- frequency response metrics --- wind integration --- PSS/E --- FORTRAN --- electromechanical dynamics --- FCWG dynamics --- strong interaction --- electromechanical 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 control --- low voltage ride through (LVRT) --- capacity configuration of SCES --- n/a --- Reynolds-averaged Navier-Stokes method

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This book presents the latest advances in applications of continuous, objective, and automated sensing technologies and computer tools for sustainable and efficient poultry production, and it offers solutions to the poultry industry to address challenges in terms of poultry management, the environment, nutrition, automation and robotics, health, welfare assessment, behavior monitoring, waste management, etc. The reader will find original research papers that address, on a global scale, the sustainability and efficiency of the poultry industry and explore the above-mentioned areas through applications of PPF solutions in poultry meat and egg production

broiler --- activity index --- time interval --- age --- image processing --- poultry --- cage-free --- preening behavior --- mask R-CNN --- residual network --- broiler chicken --- machine vision --- image restoring --- precision poultry farming --- feeding system --- pecking force --- precision livestock farming --- poultry farming --- information management --- cloud database --- disease detection --- acoustic --- audio --- frequency --- behavior --- image analysis --- animal welfare --- movement analysis --- LED --- comfort index --- manure area --- manure coverage proportion --- environment control --- ammonia emission --- layer house --- laying hen --- daily behavior --- machine learning --- inertia sensor --- walking ability --- animal behavior --- precision livestock --- PLF --- precise feeding --- ideal protein --- animal health --- immune system --- productive parameters --- management

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This book offers a collection of 30 scientific papers which address the problems associated with the use of power electronic converters in renewable energy source-based systems. Relevant problems associated with the use of power electronic converters to integrate renewable energy systems to the power grid are presented. Some of the covered topics relate to the integration of photovoltaic and wind energy generators into the rest of the system, and to the use of energy storage to mitigate power fluctuations, which are a characteristic of renewable energy systems. The book provides a good overview of the abovementioned topics.

n/a --- washout filter --- turbine and generator --- unbalanced power grid --- PV --- transient dynamics --- multi-input single output (MISO) --- permanent magnet synchronous generator (PMSG) --- static frequency characteristics --- impedance analysis --- FACTS devices --- coordinated control --- improved additional frequency control --- experiment --- resonant controller --- two-stage photovoltaic power --- voltage cancellation --- energy --- power matching --- LCL filter --- adaptive-MPPT (maximum power point tracking) --- VSC --- active power filter --- perturb and observe --- coordination control --- voltage-type control --- multiple VSGs --- wind power prediction --- linear quadratic regulator --- multiport converter (MPC) --- grid support function --- power ripple elimination --- adaptive resonant controller --- phase space reconstruction --- sliding mode control --- impedance emulation --- photovoltaic systems --- grid-connected converter --- SVM --- photovoltaic generators --- power grid --- active front-end converter --- THD --- type-4 wind turbine --- inertia --- ROCOF --- microgrid --- coupled oscillators --- multilevel power converter --- DC-AC power converters --- internal model --- back-to-back converter --- duty-ratio constraints --- selective harmonic mitigation --- parallel inverters --- discontinuous conduction mode --- droop control --- step size --- grid-connected --- inverter --- short-circuit fault --- energy router --- oscillation mitigation --- improved-VSG (virtual synchronous generator) --- source and load impedance --- synchronverter --- digital signal processor (DSP) TMS320F28335 --- operation optimization --- battery-energy storage --- generator speed control --- electrical power generation --- virtual impedance --- weak grid --- doubly-fed induction generator --- grid synchronization --- Energy Internet --- open circuit voltage --- state-of-charge balancing --- renewable power system --- control strategies --- adaptive notch filter (ANF) --- renewable energy --- hardware in the loop (HIL) --- energy storage --- microgrids --- inertia and damping characteristics --- electric vehicle --- multi-energy complementary --- static compensator --- stability --- battery energy storage system --- power-hardware-in- the-loop --- electricity price --- notch filter --- time series --- distorted grid --- oscillation suppression --- phase-locked loop (PLL) --- modules --- organic Rankine cycle --- failure zone --- Opal-RT Technologies® --- distributed generation --- modular multilevel converter --- governor --- microgrid (MG) --- second-life battery --- thermoelectric generator --- stability analysis --- wind energy system --- variable coefficient regulation --- single ended primary inductor converter (SEPIC) --- error --- soft switching --- power electronics --- PLL --- SPWM --- virtual synchronous generator --- perturbation frequency --- phase shifted --- grid-connected inverter --- cloud computing --- low inertia --- boost converter --- impedance reshaping --- small-signal and transient stability --- speed control --- multivariate linear regression --- photovoltaic --- adaptive control --- frequency regulation --- variable power tracking control --- power converters --- maximum power point tracking --- virtual admittance --- synchronization --- peak-current-mode control --- dynamic modeling --- discontinuous operation mode --- demand response

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Conventional thermal power generating plants reject a large amount of energy every year. If this rejected heat were to be used through district heating networks, given prior energy valorisation, there would be a noticeable decrease in the amount of fossil fuels imported for heating. As a consequence, benefits would be experienced in the form of an increase in energy efficiency, an improvement in energy security, and a minimisation of emitted greenhouse gases. Given that heat demand is not expected to decrease significantly in the medium term, district heating networks show the greatest potential for the development of cogeneration. Due to their cost competitiveness, flexibility in terms of the ability to use renewable energy resources (such as geothermal or solar thermal) and fossil fuels (more specifically the residual heat from combustion), and the fact that, in some cases, losses to a country/region’s energy balance can be easily integrated into district heating networks (which would not be the case in a “fully electric” future), district heating (and cooling) networks and cogeneration could become a key element for a future with greater energy security, while being more sustainable, if appropriate measures were implemented. This book therefore seeks to propose an energy strategy for a number of cities/regions/countries by proposing appropriate measures supported by detailed case studies.

district heating --- 4th generation district heating --- data mining algorithms --- energy system modeling --- neural networks --- baseline model --- hydronic pavement system --- biomass district heating for rural locations --- CO2 emissions abatement --- low temperature networks --- ultralow-temperature district heating --- domestic --- optimization --- energy efficiency --- sustainable energy --- big data frameworks --- verification --- energy prediction --- parameter analysis --- greenhouse gas emissions --- time delay --- heat pumps --- primary energy use --- retrofit --- energy consumption forecast --- district heating (DH) network --- low-temperature district heating --- thermal inertia --- variable-temperature district heating --- data streams analysis --- Computational Fluid Dynamics --- energy management in renovated building --- Scotland --- heat reuse --- thermally activated cooling --- district cooling --- space cooling --- Gulf Cooperation Council --- biomass --- TRNSYS --- hot climate --- optimal control --- air-conditioning --- machine learning --- low temperature district heating system --- data center --- twin-pipe --- residential --- prediction algorithm --- CFD model --- nZEB --- thermal-hydraulic performance

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Microgrids are a growing segment of the energy industry, representing a paradigm shift from centralized structures toward more localized, autonomous, dynamic, and bi-directional energy networks, especially in cities and communities. The ability to isolate from the larger grid makes microgrids resilient, while their capability of forming scalable energy clusters permits the delivery of services that make the grid more sustainable and competitive. Through an optimal design and management process, microgrids could also provide efficient, low-cost, clean energy and help to improve the operation and stability of regional energy systems. This book covers these promising and dynamic areas of research and development and gathers contributions on different aspects of microgrids in an aim to impart higher degrees of sustainability and resilience to energy systems.

microgrid --- distribution network operator --- double externalities --- subsidy --- PV system --- PI controller --- fuzzy control --- MPPT --- tracking speed --- error --- Micro Grid --- VSG --- power sharing --- inertia support --- energy support --- small signal stability --- day-ahead operational scheduling --- reconfigurable microgrid --- DRNN Bi-LSTM --- aggregated load forecasting --- bulk photovoltaic power generation forecasting --- solar potential assessment --- resource mapping --- geographic information systems (GIS) --- site selection --- Iran --- earthquake --- power distribution network --- resilience improvement planning --- water distribution network --- load disaggregation --- non-intrusive load monitoring (NILM) --- dimensionality reduction --- principal component analysis (PCA) --- smart home --- solar renewable --- thermal load --- stochastic operation --- energy storage --- sustainability --- desalination --- renewable energy --- water–energy-nexus --- photovoltaic grid-connected system --- power fluctuation --- DC bus voltage stabilization --- prescribed performance --- command-filtered adaptive backstepping control --- centralized control architecture --- DC microgrid --- distributed control architecture --- electricity price constraint --- hybrid control architecture --- power flow control strategy --- data pre-processing --- electricity theft --- imbalance data --- parameter tuning --- smart grid