This paper develops an effective two-stage stochastic post-hurricane recovery framework to improve networked microgrid resilience using mobile emergency resources (MERs) and a proposed reconfiguration strategy. In the first stage, network actively alters local power flow path provides opportunities for restoring critical loads, thus reducing energy not supplied electric consumers. The optimal schedule determined in stage problem is also used determine islanded loads that need MERs...

Vasculature architecture of the brain can provide revealing information about mental and neurological function disease.Fluorescence imaging in second near-infrared (NIR-II) regime with less light scattering is a more promising method for detecting cortical vessels than traditional visible NIR-I modes.Methods: Clinically approved dye indocyanine green (ICG) was used NIR-II fluorescence imaging.Here, first time, we developed two microscopy systems vasculature macaque monkeys.The wide-field...

Historically, the power system has relied on synchronous generators (SGs) to provide inertia and maintain grid stability. However, because of increased integration power-electronics-interfaced renewable energy sources, grid’s stability been challenged in last decade due a lack inertia. Currently, predominantly uses grid-following (GFL) converters, built assumption that inertial sources regulate Such an does not hold for low-inertia grids future. Grid-forming (GFM) which mimic traditional...

To facilitate the development of active distribution networks with high penetration large-scale distributed generation (DG) and electric vehicles (EVs), management strategies should be considered at planning stage to implement coordinated optimal allocations DG vehicle charging stations (EVCSs). In this article, EV load curves are obtained by Monte Carlo simulation method. This article reduces number photovoltaic outputs scenarios K-means++ clustering algorithm obtain a typical scenario set....

A novel carrier-based unipolar-sinusoidal pulse width modulation (SPWM)-oriented technique with synchronous rectification for isolated bidirectional single-stage high-frequency-ac link dc-ac converters using SiC MOSFET is presented in this paper. The converter composed of a full-bridge (FB) inverter cascaded cycloconverter through high-frequency transformer. unipolar-SPWM-oriented proposed to realize zero-voltage-switching (ZVS) the FB and zero-current or (ZVS/ZCS) all load ranges, suppress...

Physics-based models for battery temperature prediction are often not suitable online applications due to the large number of fitted parameters, low fidelity results from parameter inaccuracy and unaccounted model dynamics, limited high quality experimental data, slow convergence predictions unknown initial conditions. On other hand, data-driven require much less computation power but a dataset learn time dependent behavior. This paper proposes physics-informed neural network (PINN) take...

Microorganisms consume and transform dissolved organic matter (DOM) into various forms. However, it remains unclear whether the ecological patterns drivers of DOM chemodiversity are analogous to those microbial communities. Here, a large-scale investigation is conducted along Chinese coasts resolve intrinsic linkages among complex intertidal pools, communities environmental heterogeneity. The abundance molecular formulae best fits log-normal distribution follows Taylor's Law. Distance-decay...

Two carrier-based unipolar-sinusoidal pulse width modulation (SPWM)-oriented techniques for an isolated bidirectional dc-ac converter are proposed, compared, and validated in this paper. The is composed of a full-bridge (FB) inverter cascaded with cycloconverter through high-frequency transformer. Both proposed paper can realize zero-voltage switching (ZVS) the FB zero-current or ZVS all load range, able to suppress voltage spikes introduced by transformer leakage inductance as well. In...

With the growing penetration of power electronic converters in systems, issue reliability becomes more critical than ever before. This paper proposes a hierarchical framework to evaluate electric system from converter level overall level. On level, model is developed based on devices it composed of, for which various hourly input profiles and topologies are considered. metrics such as expected energy not served (EENS) loss load expectation (LOLE) estimated through non-sequential Monte Carlo...

The unified power quality conditioner (UPQC) has become one of the most proficient solutions for compensating effects voltage fluctuations, harmonics, sudden load changes and enhancing distribution networks. Aiming at shortcomings conventional compensation control strategies effect UPQC, this paper proposes an effective strategy UPQC based on dq0 detection method. Furthermore, space vector pulse width modulation (SVPWM) algorithm is improved in paper. fundamental harmonic supply side current...

This article proposes a generalization of the model-free predictive current controller (MFPCC) for multilevel voltage source inverters (VSIs). MFPCC is an alternative to mitigate parameter sensitivity faced by model-based PCC (MPCC), but it requires constant update stored variations (CVs) associated with each VSI state provide prediction, which results in satisfactory closed-loop response. When considered number states increases, decrease CV rate, since only one can be updated at sample. To...

The physics-informed neural network (PINN) has drawn much attention as it can reduce training data size and eliminate the need for physics equation identification. This paper presents implementation of a PINN with adaptive normalization in loss function to predict lithium-ion battery cell temperature. In particular, was trained actual test data, lumped capacitance thermal relationship applied addition pre-layer connection layer architecture. architecture shows most accurate temperature...

Abstract The problem of trajectory tracking control for underactuated surface vessels with time‐delays, model uncertainty and unknown directions has been considered in this paper. Firstly, an integration time delayed sliding mode controller is proposed, which decomposes the non‐linear system into a cascading consisting kinematics subsystem dynamics subsystem. Secondly, adaptive backstepping method heading angle can drive error preset interval. Then Bouc‐wen used to describe hysteresis...

The hierarchical control of the DC microgrid regulates terminal voltages interfacing converter to achieve proportional load sharing and good voltage regulation at bus. In doing so, difference different nodes increases which results in higher circulating current leads losses. this paper, a Reinforcement Learning Based Integrated Control (RLIC) is proposed will minimize power losses transmission. RLIC consists primary secondary controller. controller robust sliding mode receives references...