A comparative study of harmonic currents extraction by simulation and implementation

The aim of the present work is to obtain a perfect compensation by extracting accurate harmonic currents. The objective is to avoid the consequences due to the presence of disturbances in the power system. A comparative study of harmonic currents extraction by simulation and implementation is carried out for two different techniques. The first technique is based on the instantaneous powers, taking advantage of the relationship between current and the power transformed from the supply source to the loads. The second is based on ADALINE neural network. The neural method can estimate the harmonic terms individually and online, therefore, the APF can realise a selective compensation. The developed architectures are validated by computer simulation and experimental tests. The algorithms are implemented in the dSPACE Board in order to show the effectiveness and capability of each technique. The results have demonstrated that the speed and the accuracy of the ADALINE can improve greatly the performances of active power filters

Direct power control of shunt active filter using high selectivity filter (HSF) under distorted or unbalanced conditions

International audienceThis paper describes the design of a new configuration of direct power control (DPC) based on high selec-tivity filters (HSF) to achieve near-sinusoidal source current waveforms under different source voltageconditions. The proposed method uses the high selectivity filters instead of the classical extraction filters(low pass filters). The basic idea of the proposed DPC is to choose the best inverter voltage vector in orderto minimize instantaneous active and reactive power errors using two hysteresis comparators. Their out-puts associated with a switching table, control the active and reactive powers by selecting the optimalswitching states of the inverter. Simulation results have proved excellent performance, and verify thevalidity of the proposed DPC scheme, which is much better than conventional DPC using low pass filters

Integrated genomic characterization of adrenocortical carcinoma.

International audienceAdrenocortical carcinomas (ACCs) are aggressive cancers originating in the cortex of the adrenal gland. Despite overall poor prognosis, ACC outcome is heterogeneous. We performed exome sequencing and SNP array analysis of 45 ACCs and identified recurrent alterations in known driver genes (CTNNB1, TP53, CDKN2A, RB1 and MEN1) and in genes not previously reported in ACC (ZNRF3, DAXX, TERT and MED12), which we validated in an independent cohort of 77 ACCs. ZNRF3, encoding a cell surface E3 ubiquitin ligase, was the most frequently altered gene (21%) and is a potential new tumor suppressor gene related to the β-catenin pathway. Our integrated genomic analyses further identified two distinct molecular subgroups with opposite outcome. The C1A group of ACCs with poor outcome displayed numerous mutations and DNA methylation alterations, whereas the C1B group of ACCs with good prognosis displayed specific deregulation of two microRNA clusters. Thus, aggressive and indolent ACCs correspond to two distinct molecular entities driven by different oncogenic alterations