1,721,073 research outputs found
Monitoraggio del carico in tempo reale: strumento per il controllo delle risorse distribuite
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An Optimal Model-Based Control Technique to Improve Wind Farm Participation to Frequency Regulation
Full text linkThis paper presents a model-based control technique to provide the contribution of wind power generators to primary frequency regulation in electric power systems. Models of individual wind power generators and wind farm (WF) as a whole are presented and the proposed control strategy is detailed. It consists of a central controller, a central Kalman filter (KF), and some local KFs, one for each wind turbine. The central controller is disabled in normal operation conditions and its task is to set the power reference for each wind turbine, overwriting the local reference, when a disturbance occurs. Central KF is in charge of estimating the external load variation, while each local KF estimates wind speed and the wind turbine’s dynamical state. The key feature of this approach is that each wind turbine can react to grid disturbances in a different way, which depends on wind speed as seen by the wind turbine itself and by its dynamical conditions. Real wind data and a large WF connected to the grid in a dedicated simulation environment have been used to test the effectiveness of the proposed control strategy
Applicazione della metodologia della continuazione numerica per la determinazione di biforcazioni locali e caos nei sistemi elettrici per l’energia
No full textDistribution Network Topology Identification by PMU-based State Estimation
No full textThis paper introduces an extension of an algorithm for fault detection and localization in active radial distribution networks based on state estimation and phasor measurement devices. This work takes into account the possibility of changing the network topology through switching devices, usually as a consequence of the protection system triggering after a fault occurrence. Therefore, an automatic topology estimation method is developed to be run together with the fault detection and localization algorithm. Hence, this work calls back the same assumptions in terms of optimal measurement device placement and observability to have the algorithm work properly with a reduced number of metering devices respect to the number of nodes of the network. The approach is validated through simulations carried out on a benchmark radial distribution network
PROPOSAL OF PHYSICAL EXERCISES FOR CHARCOT MARIE TOOTH DISEASE PATIENTS: A TAILORED APPROACH
No full textBackground: Charcot-Marie-Tooth disease (CMT) is a neurological condition of genetic etiology classified among rare diseases. The aim of the study was to subject two CMT-1A patient sisters to an ad-hoc training program of 6 weeks (18 sessions) and to record and obtain improvements in proprioception, stability, balance, mobility, and strength. Methods: Two sisters aged 32 and 30 respectively, with moderate disability (CMT-Neuropathy Score (CMTNS) of 11/36), with pes cavus, hindfoot varus, and a limited ankle range of motion in foot dorsiflexion. General weakness, early fatigue, and impaired gait were also present in the two patients. Both patients, with the same initial deficits, underwent this new intense training program consisting of 60-minute workouts 3 times a week any other day for 6 weeks (a total of 18 sessions). Results: The study showed positive results on the following scales: Romberg test; 6 MWT; 30-ACT; 30 CST; TUG; Q-Walk-12, and Q-SF-36. Conclusion: The study aimed to underline the importance of an early disease training approach to limit its progression. The study demonstrated a positive impact of a 6-week gym training program based on monopodalic standing and quadrupedal exercises on proprioceptive abilities, postural stability, and improved balance
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