Due to the intermittency and randomness of solar photovoltaic (PV) power, it is difficult for system operators dispatch PV power stations. In order find a precise expectation day-ahead generation, conventional models have taken into consideration temperature, humidity, wind speed data forecasting, but these predictions were always not accurate enough under extreme weather conditions. Aerosol index (AI), which indicates particulate matter in atmosphere, has been found strong linear...

Chance constrained optimal power flow (OPF) has been recognized as a promising framework to manage the risk from variable renewable energy (VRE). In presence of VRE uncertainties, this paper discusses distributionally robust chance approximate ac-OPF. The model employed in proposed OPF formulation combines an exact ac at nominal operation point and linear reflect system response under uncertainties. ambiguity set is Wasserstein ball centered empirical distribution. minimizes expectation...

This paper proposes a data-driven affinely adjustable distributionally robust method for unit commitment considering uncertain load and renewable generation forecasting errors. The proposed formulation minimizes expected total operation costs, including the costs of generation, reserve, wind curtailment, shedding, while guaranteeing system security. Without any presumption about probability distribution uncertainties, constructs an ambiguity set distributions using historical data immunizes...

The continuous integration of fluctuating distributed generators and nonlinear power electronic equipment have produced severe signal contamination induced various quality (PQ) problems to modern systems. PQ disturbances (PQD) greatly ruin user experience also bring significant losses. Therefore, a high-precision machine learning-based PQD identification model is proposed in this article, which combines the advantages modified fast independent component analysis method improved random forest...

Second Aluminum Dross (SAD), a byproduct of aluminum dross extraction with both resource and pollutant properties, requires harmless treatment full-component utilization. This study focuses on using corn stalks as pore-forming agent to create porous ceramics SAD. The role stalk in pore formation was investigated, the influence particle size, content, pyrolysis, calcination conditions analyzed. Sample analysis XRD, XRF, BET, TEM, SEM revealed phase composition, component microstructure...

The fundamental limitations of the current topologies for isolated high step-up dc-dc conversion are summarized. primary-parallel-secondary-series structure is employed in this paper to handle large input current, sustain output voltage and extend gain. A novel active clamp boost converter with coupled-inductors proposed applications. third windings have function gain extension switch stress reduction. circuit serves interleaved two phases, which reduces complexity. Both main auxiliary...

In this paper, we propose a new "intelligent operation" concept for high-voltage SF <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</sub> gas circuit breakers, in which the moving contacts are self-adaptively controlled from one position to an adjacent improve breaker life cycles. To analyze intelligent operation, model of is developed, and characteristics type computed based on newly designed model. Then both mechanical electrical wears...

To investigate the incidence and pattern of traumatic spinal fractures (TSFs) associated cord injury (SCI) resulting from motor vehicle collisions (MVCs). This was a cross-sectional study. We retrospectively reviewed 698 patients with TSFs MVCs admitted to our university-affiliated hospitals 2001 2011. The were summarized respect different age groups, fracture levels, role patients. There 464 males (66.5%) 234 females (33.5%) aged 40.5 ± 13.8 years old. most common roles in car drivers (189,...

This paper proposes distributionally robust energy-reserve-storage co-dispatch model and method to facilitate the integration of variable uncertain renewable energy. The uncertainties generation forecasting errors are characterized through an ambiguity set, which is a set probability distributions consistent with observed historical data. proposed minimizes expected operation costs corresponding worst case distribution in set. Distributionally chance constraints employed guarantee reserve...

The uncertainties from renewable energy sources (RESs) will not only introduce significant influences to active power dispatch, but also bring great challenges the analysis of optimal reactive dispatch (ORPD). To address influence high penetration RES integrated into distribution networks, a distributionally robust chance constraint (DRCC)-based ORPD model considering discrete compensators is proposed in this paper. combines second-order cone programming (SOCP)-based at nominal operation...

Fast online transient stability assessment (TSA) is very important to maintain the stable operation of power systems. However, existing methods suffer drawbacks unsatisfactory prediction accuracy, difficult applicability, or a heavy computational burden. In light this, an improved high accuracy system model proposed, based on min-redundancy and max-relevance (mRMR) feature selection winner take all (WTA) ensemble learning. Firstly, contributions four different series raw sampled data from...

The ongoing process of decarbonizing the power system and frequent occurrence extreme weather have led to a significant increase in operating uncertainty greatly reduced controllability. An effective risk assessment early-warning tool will significantly assist operators monitoring controlling systems. However, existing methods mainly rely on simplified analytical conditional probability models describe component failure under different conditions are not suitable for low-probability...

Human infertility is a growing concern and while many assisted reproductive technologies exist, their success rates are low. Thus, developing tests, possibly by assessing proteins involved in fertilization, that could predict the outcome of these great significance. To identify candidate proteins, we used two-dimensional polyacrylamide gel electrophoresis MALDI-TOF techniques detected ERp57 protein from human testis profile. Immunohistochemistry showed was mostly located spermatogenic cell...

Recently, a method utilizing pulsed power technology for disintegration of rocks arouses great interest many researchers. In this paper, an improved based on magnetic switch and the results shown that uniform dielectrics like plastic can be broken down in water is presented, feasible mechanism explaining breakdown solid proposed proved experimentally. A high voltage pulse 120 kV, rise time 0.2 μs was used to ignite discharging channel solids. When plasma formed solid, resistance quiet small;...

To mitigate commutation failures (CFs) and minimize the instability of HVDC systems due to AC faults or control mode ambiguity, a constant extinction voltage-time area based strategy with virtual resistance is proposed. In this strategy, using sine-cosine components detector considering zero-crossing phase shift voltage, angle setting value can be adjusted dynamically. Meanwhile, reflect characteristics DC current during fault recovery process, introduced into system voltage drop taken as...

Detecting faulty feeder for single-phase-to-ground (SPG) faults in distribution networks is challenging due to weak fault currents and complex transients. The existing detection methods either possess insufficient incomplete feature extraction capabilities or lack comprehensive credibility evaluation, thus leading low reliability of results. This paper introduces a highly reliable method based on image recognition using fully convolutional generative adversarial network (FCGAN), which...

Accurately quantifying gas production during internal faults in transformers is paramount for advancing the digitization and intelligence of electric power equipment. This paper introduces a model grounded thermodynamics to calculate transformer oil pyrolysis gases, leveraging chemical equilibrium theory explore temperature-dependent factors such as heat capacity, reaction enthalpy change, constants. By introducing factor quantify molecule molar fractions, establishes system equations track...

Abstract In remote sensing image segmentation, recognizing buildings is challenging when the visual evidence from pixels weak or belong to small, spatially structured objects. To address this issue, a structure‐prior guided adaptive context selection network (SGACS‐Net) proposed for semantic segmentation. The core use knowledge dynamically capture prior contextual information and higher‐order object structural features, thereby improving accuracy of building First, an module designed. By...