Increasing the penetration level of distributed generation (DG) units in radial power distribution systems can increase the short-circuit level in these networks, which can, in turn, have destructive effects such as exceeding the tolerable current of the equipment and disrupting the protective coordination in the network. The active superconducting fault current limiter (ASFCL) is a new device that can limit fault current using voltage series compensation. This paper discusses the modeling of ASFCL and control strategies including fault detection and converter performance in normal and fault modes. Initially, its performance in limiting the fault current is investigated by simulating a sample three-phase system with ASFCL. In the next step, three operating modes including normal mode, upstream fault mode, and downstream fault mode are proposed to achieve an adaptive FCL that solves these problems in grid-connected microgrids. The simulation results confirm the proper performance of the ASFCL modes in both fault current limiting and protective coordination of overcurrent relays in the network.

This work represents a new method for robustness analysis of the model reference adaptive controller (MRAC) in the presence of input saturation. Saturation is one of the nonlinear factors affecting the stability of control systems which must be considered in controller design and stability analysis experiments. Various methods are presented for the stability and robustness analysis of adaptive control systems, and employment of describing function (DF) can be attractive and practical, due to the appropriate effectiveness of DF in estimating limit cycles and also the application of quasi-linearization theory. In this work, the stability analysis and a limit cycle estimation of a saturated system in the frequency domain are performed. The controller parameters are adjusted in a way that the system achieves its stable limit cycle in the presence of the initial conditions for the states. Moreover, the efficiency of the proposed method for second-order systems is reported in the presence of symmetric saturation and uncertainty model in Rohrs’s counterexample as the unmodeled dynamics. The results demonstrate the proposed method provides a proper analysis of system stability during the changes in the control parameters and the saturation amplitude.

The key to simple and rapid detection of a large volume of samples lies in the hands of solution-based nanomaterial sensors. Quantification of mercury in the river and coastal water is analytically challenging due to the potential interference of the matrix. In this endeavor, lysine-capped gold nanoparticles (Lys-AuNPs) based colorimetric sensors are demonstrated here towards efficient detection of trace amounts of mercury ions (Hg2+) in coastal and estuarine water. The colorimetric behavior of Lys-AuNPs is related to surface plasmon resonance (SPR)During analysis, interestingly a decrease in the intensity of the original SPR peak at 530 nm was observed, with the concomitant appearance of a new peak at a longer wavelength due to agglomerated Lys- AuNPs. Developed sensors exhibit excellent performance in different environmental samples with high selectivity towards Hg2+ ions in the presence of other metal ions. For the analysis of coastal water samples, a low value of regression coefficient was observed due to the potential interference of salt in the sample. To overcome this, matrix-matching experiments were carried out. Developed Lys- AuNPs show good selectivity towards Hg2+ in matrixed matched diluted coastal water samples. With a sensitivity of 0.02 ppm, the sensor can be utilized to screen large numbers of coastal water samples for their Hg2+ content to satisfy coastal regulation norms. As a whole, this method is simple, sensitive, selective, cost-effective and can be used to screen large numbers of samples across the coastal area for monitoring Hg2+ concentration.

This paper proposes a novel day-ahead energy hub scheduling framework aimed at improving resiliency. Accordingly, an energy hub including combined heat and power (CHP), boiler, electric-heat pump (EHP), absorption and electric chillers, energy storages and renewable sources is considered. This energy hub is equipped with smart grid (SG) infrastructures, making it possible to implement demand response (DR) programs and optimally operate energy storages. The hub is connected to the electricity and natural gas networks. Outage of input energy carriers causes failure of devices in the energy hub, loss of electrical loads, failure in cooling and heating and thus reduced resiliency. Maintaining the security of the hub consumers’ power supply system in the event of such severe disturbances is essential. Therefore, a new strategy based on the use of backup electric energy storages (EES) and DR program is proposed in this paper to improve resiliency. In addition, a numerical index is used to accurately calculate and evaluate resiliency. Numerical studies show that the proposed strategy improves resiliency during the outage of power and gas networks by 12.02% and 14.23% respectively when backup energy storages and DR program are implemented simultaneously.

It is crucial to detect potential overlaps between any pair of the input reads and a reference genome in genome sequencing, but it takes an excessive amount of time, especially for ultra-long reads. Even though lots of acceleration designs are proposed for different sequencing methods, several crucial drawbacks impact these methods. One of these difficulties stems from the difference in read lengths that may take place as input data. In this work, we propose a new Race-logic implementation of the seed extension kernel of the BWA-MEM alignment algorithm. The first proposed method does not need reconfiguration to execute the seed extension kernel for different read lengths. We use MEMRISTORs instead of the conventional, complementary metal-oxide-semiconductor (CMOS), which leads to lower area overhead and power consumption. Also, we benefit from Field-Programmable Nanowire Interconnect Architecture as our matrix output resulting in a flexible output that bypasses the reconfiguration procedure of the system for reads with different lengths. Considering the power, area, and delay efficiency, we gain better results than other state-of-the-art implementations. Consequently, we gain up to 22x speedup compared to the state-of-the-art systolic arrays, 600x speed up considering different seed lengths of the previous state-of-the-art proposed methods, at least 10x improvements in area overhead, and 105x improvements in power.

This work proposes a new model for dynamic behavior of hydro-electric turbines on the basis of inlet mechanical power with different loads together with reactions of wicket gates and governor during load rejection. Then, practical experiments are investigated, and their results are compared with simulated results developed in SIMULINK. The results show that proposed modeling satisfies practical behavior of real systems.

A new active gate drive for Silicon carbide (SiC) metal–oxide–semiconductor field-effect transistor (MOSFET) is proposed in this paper. The SiC MOSFET as an attractive replacement for insulated gate bipolar transistor (IGBT) has been regarded in many high power density converters. The proposed driver is based on a feedforward control method. This simple analog gate driver (GD) improves switching transient with minimum undesirable effect on the efficiency. This paper involves the entire switching condition (turn on/off), and the GD is applied to the SiC base technology of MOSFET. To evaluate the performance of the proposed GD, it will be compared with a conventional gate driver. The presented GD is validated by experimental tests. All the evaluations are carried out in a hard switching condition and at high-frequency operation.

Risk means the acceptance of an unfortunate event and its effects. In other words, the effect of uncertainty on goals is called risk. This effect can be positive, negative or both. Uncertainty means that the occurrence of an effect or its consequence is unknown, the occurrence is unknown and its consequence is certain, the occurrence is certain and its consequence is unknown. Risk is an inherent part of all projects and its management improves performance in project management and the results of that project. Project risks are derived from aspects of scope, time and cost or affecting them; Therefore, their analysis and prioritization can play a significant role in the sustainable success of the project. new companies are facing dynamic and less experienced risks. For this purpose, in this research, the challenges and risks of Internet startups have been identified by experts in the form of 9 risks, and the interpretive structural modeling technique has been used to analyze and determine the levels of risks. . Based on the calculated prioritization, "theft of information of people in the network" is at the lowest level of risk and "not applying the right policy to collect fees from users of products" is obtained at the highest level of the risk model of new Internet companies. Also, relationships and mutual effects between risks have been identified using this technique.

Baclofen is a Gamma Amino Butyric acid (GABA) agonist to relax skeletal muscles. It is especially effective in treating muscular spasticity. In this research, we now describe the synthesis of Baclofen using a new approach which begins with 4- chlorobenzaldehyde. We have carried all reactions by the green method. It gives the better yield.  The identity of this product was confirmed by spectral analysis and compared with the standard Baclofen. new and eco-friendly approach was developed for the synthesis