Tentative de description du noyau 125^{125}La par la methode de couplage quasiparticule-phonon plus rotor

Pas de résum

Contribution of quasiparticle-phonon, recoil and coriolis interactions in describing low-lying states of 133Nd^{133}Nd isotope

A quasiparticle-phonon coupling based on one quadrupole phonon is developed. The coupling is constructed by using a deformed average field of Nilsson, a monopole pairing interaction and a quadrupole-quadrupole force. Microscopic structure of the quadrupole phonon is given from the Tamm-Dancoff Approximation. The two effects of recoil and Coriolis forces are included with the assumption of a symmetric rotational motion. Since theoretical treatment is performed for an odd-$A$ nuclei the configuration of intrinsic states should contain both one-quasiparticle and quasiparticle-phonon components. This method is applied to describe the level scheme of $^{133}Nd$ for which an agreement with experimental data is obtained. The results are also found similar to previous calculations obtained by the Particle plus Triaxial Rotor Model

Nouvelle version adaptative de l’algorithme du boosting : optimisation du critère d’erreur et comparaison avec un perceptron multicouches

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Energy bill reduction by optimizing both active and reactive power in an electrical microgrid

International audience– The aim of this paper is to develop tools for the Optimal Power Flow Management Control (OPFMC) in a microgrid (MG). It consists of a photovoltaic system, an energy storage system, a gas turbine, and a main grid (energy exchange). Unlike the conventional approaches, which are limited to the distribution of the active power, this paper relies on an electrical modeling system in order to coordinate and to optimize both the active and the reactive power flow using discrete controls. The proposed optimal power management strategy has two objectives: (i) it aims at forecasting, over a time horizon of 24-hours, the optimal distribution of the active and the reactive power required for each power source connected to the microgrid. The proposed management incorporates the consumption forecasts, the weather, and the tariffs; (ii) it aims at reducing the solicitation of the main grid while taking into consideration the requested reactive power. This is done by using dynamic programming based on Bellman algorithm. Such management has been tested by simulation in a Matlab/Simulink environment and its performance has been compared to the conventional management strategy. Copyright © 2020 Praise Worthy Prize S.r.l.-All rights reserved. © 2020 Praise Worthy Prize S.r.l.-All rights reserved