Emergency control is an important measure for prevention of power system blackouts. This paper presents a new event-driven emergency load-shedding scheme that minimizes load shedding while meeting constraints on transient angle stability, voltage/frequency deviation security, and availability to be shed at any bus. The evaluation these based time domain trajectories provided by numerical simulations. optimal (OEDLS) model was created minimize the total cost. By analyzing characteristics...

It is well-known that ac power flows of a system do not have closed-form analytical solution in general. This paper proposes multi-dimensional holomorphic embedding method derives multivariate series to approach true flow solutions. embeds multiple independent variables into equations and hence, can, respectively, scale injections or consumptions selected buses groups buses. Then, via physical germ solution, the can represent each bus voltage as about symbolic on condition so derive...

This paper focuses on the fracture damage characteristics of styrene-butadiene-styrene (SBS)-modified SMA-13 specimens with basalt fiber under various freeze-thaw (F-T) cycles. SBS-modified stone mastic asphalt (SMA)-13 were prepared, first, using superpave gyratory compaction method. Then, mixture processed 0–21 F-T cycles adopted for high-temperature compression and low-temperature splitting tests. Meanwhile, acoustic emission (AE) test was conducted to evaluate during loading. The results...

Objective The albumin–globulin ratio (AGR) has been identified as a promising prognostic predictor of mortality in patients with hematological malignancies. This study investigated the significance AGR multiple myeloma. Methods Two hundred diagnosed myeloma from January 2010 to October 2018 were retrospectively analyzed and followed up until December 2019. Kaplan–Meier curves multivariate Cox regression analysis applied detect value AGR. Results median follow-up period was 36 months. optimal...

Asphalt mixture proportion design is one of the most important steps in asphalt pavement and application. This study proposes a novel multi-objective particle swarm optimization (MOPSO) algorithm employing Gaussian process regression (GPR)-based machine learning (ML) method for multi-variable, multi-level problems with multiple constraints. First, GPR-based ML proposed to model objective constraint functions without explicit relationships between variables objectives. In step, metaheuristic...

Recently, many low-cost micro electro mechanical systems (MEMS) IMUs have emerged for only several hundred US dollars. In comparison to high-end IMUs, an entire Inertial Navigation System (INS) can be implemented with smaller size/volume, lower weight and costs. On the other hand, they a relatively accuracy due their larger systematic errors, such as bias, scale factor drift, which highly depend on disturbance temperature. Consequently, original signal output of IMU must processed...

Nonlinear modal decoupling (NMD) was recently proposed to nonlinearly transform a multi-oscillator system into as many decoupled oscillators the oscillation modes of interests with original system. Those together provide fairly accurate approximation behaviors in an extended neighborhood equilibrium. Each oscillator has just one degree freedom and hence can easily be analyzed infer nonlinear dynamics associated mode. As first attempt applying NMD methodology realistic power models, this...

In the current work, we design a novel medium Mn steel with superior mechanical property and no Lüders band. For industrial applications, “low addition” chemical composition two kinds of different annealing processes various initial microstructures were introduced. Consequently, sample subjected to full austenitized quenching plus intercritical process exhibited an outstanding without The microstructural evolution austenite reverted transformation behavior discussed in detail. addition,...

The large capacity transmission of power over long distance and the rapid development renewable energy increase probability unexpected emergencies such as overload under-voltage. To tackle these defend future disturbances, corrective switching is implemented an online control a multi-objective scheme-making approach proposed. A 0-1 integer optimization model established to cover set contradictory objectives from aspects economics, security reliability. two-phase proposed ensure computation...

A novel machine learning based FBG sensing interrogation method is proposed in this paper. The uses a Kernel Regularized Extreme Learning Machine optimized by Quantum Particle Swarm Optimization (QPSO-KRELM). divided into two steps. First, the prediction model established through KRELM. Second, hyperparameters of are usage QPSO algorithm. Due to good stability and convergence QPSO-KRELM, well-trained detection can automatically accurately extract information from spectrum. experimental...

In this paper, we provide a preliminary investigation of poorly damped oscillations from STATCOM in Dominion Energy's system using ambient synchrophasor data-based methods. Synchrophasor data multiple months are analyzed parametric and non-parametric spectral analysis techniques as tools for understanding the oscillation phenomena. As part analysis, relationships between estimated damping loading drawn to arrive at hypothesis.

Seepage damage is a significant factor leading to red mud tailings dam failures. Laboratory tests on seepage were conducted investigate the characteristics and distribution laws of dams, including soil pressure, infiltration line, pore water displacement, crack evolution. The findings revealed mechanisms slopes, offering insights for safe operation prevention dams. results showed that higher level in dam, position line when it reaches slope face. At highest point surface, increase pressure...

This study presents a multiobjective evaluation method to estimate the performance of various midblock crosswalk treatments on urban streets. The considered objectives included traffic operation, safety, environmental impacts, and costs. Data were collected at 16 crosswalks in Nanjing area China. Vissim simulation models developed calibrated with field data evaluate operational impacts treatments. For impact total control delay vehicles major streets pedestrians estimated. frequency...

This letter studies the mechanism of a type forced power system oscillation induced by imperfect nonlinearity compensation with steam-turbine governing system. The nonlinear valve control characteristic steam turbine is usually compensated its inverse performed governor for an overall linear In reality, may remain due to compensation, which can result in limit cycle forcing generator and even extensive neighboring area grid oscillate at low frequency. A imperfection index proposed evaluate...

To optimize the properties of asphalt mixtures and make full use waste rubber tires, diatomite crumb particles were applied to reinforce in this study. The rutting tests, three-point bending freeze-thaw splitting uniaxial compression creep tests performed analyze effects types aggregate gradation on pavement reinforced (DRPAM). Subsequently, relaxation characteristics DRPAM analyzed by Burgers model, modified second-order extensive Maxwell Scott–Blair model. results show that can high...

Recently, many low-cost micro electro mechanical systems (MEMS) IMUs have emerged for only several hundred US dollars. In comparison to high-end IMUs, an entire Inertial Navigation System (INS) can be implemented with smaller size/volume, lower weight and costs. On the other hand, they a relatively accuracy due their larger systematic errors, such as bias, scale factor drift, which highly depend on disturbance temperature. Consequently, original signal output of IMU must processed...

Real-time damping estimation for a dominant inter-area mode is important situational awareness of potential angular instability in power systems. Electromechanical oscillations energized by large disturbances often manifest obvious nonlinearities measurements on first several swings. Traditional methods based linear system theory discard swings intentionally to avoid nonlinearity; if not, the estimated ratios vary with length and starting point measuring window. By identifying nonlinear...

Location-based services (LBS) provide content that is dynamically customized according to the user's location. These are commonly delivered mobile devices. Due wireless bandwidth limit, broadcasting based transmission technology one of main methods dynamic real-time information or public emergency for commercial LBS applications. Multimedia Broadcast and Multicast Services (MBMS) a service offered via existing GSM UMTS cellular networks. MBMS has major benefit network infrastructure already...

Intelligent Transportation is a promising solution that aims to maximize efficiency by utilizing the computing power provided computers dynamically analyze current road traffic conditions and rationally allocate resources. In Transportation, accurate effective prediction results are reliable guarantees for subsequent policy-making resource scheduling. However, feature complex, it supposed handle interactions among numerous nodes, influence of nodes' historical information, randomness caused...

Small signal analysis is a special case of analytical approaches using 1 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> -order Taylor expansion power system differential equations. High-order expansions (TEs) can lead to better for stability by considering higher-order nonlinearities, e.g. normal form, modal series and nonlinear decoupling. This paper presents fundamental studies on how accurate transient results be obtained from the...

The efficient and safe performance of nuclear power plants the future requires remote monitoring, control, condition-based maintenance in order to maximize their capacity factor. Small medium reactors, 50–500 MWe range, may become commonplace for certain applications, with a design features deployment. Such reactor be part smaller electrical grid, deployed areas limited infrastructure. Typical applications include generation, process heat water desalination, co-generation. There are other...

Unstable equilibrium points are important for transient stability analysis of power systems since they can indicate the boundary region attraction regarding a stable point. This paper proposes new holomorphic embedding method to find unstable multi-generator by solving an equivalent flow problem considering generator speeds. The formulation and proposed presented in detail then verified on IEEE 3-generator 9-bus system with different parameters.

This paper proposes a direct damping feedback control method against power system oscillations under small or large disturbances. For targeted oscillation mode, this continuously minimizes the difference between real-time estimated ratio and desired value by changing outputs of selected inverter-based resources. The adopts proportional-integral controller whose parameters are tuned using nonlinear single-input-single-output model on estimation with single-oscillator equivalent regarding...

Under smart power environment, mass electro-data bring new opportunities and challenges for user's electrical behavior analysis. This paper starts from individual consumption monitoring to establish multi-dimensional load classification system decompose electricity load. Then, characteristics characteristics, we apply improved K-means cluster classify analyze behavior. On this basis, designs a model non-intrusive decomposition recognition study mine modes, assist grid company formulate...