Virtual Inertia Parameter Design for Low-Voltage Distribution System Based on Feasible Region

Processes, Год журнала: 2025, Номер 13(1), С. 179 - 179

Опубликована: Янв. 10, 2025

The low-voltage distribution system (LVDS) is confronted with high-frequency oscillation instability issues due to the negative impedance of constant power loads. To address this, a virtual inertia equivalent modeling method proposed in this paper, and reduced-order model along its transfer function for LVDS established. On basis, solving feasible region parameters proposed. Through region, reasonable droop coefficients corner frequencies can be designed from perspective small-signal stability. Finally, switching are built using RT-box HITL platform. Multiple sets experimental results have verified effectiveness region.

Язык: Английский

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Model Parametrization-Based Genetic Algorithms Using Velocity Signal and Steady State of the Dynamic Response of a Motor

Biomimetics, Год журнала: 2025, Номер 10(3), С. 146 - 146

Опубликована: Фев. 27, 2025

The study of dynamic models and their parameterization remains a relevant topic in research. Motors have been extensively analyzed, studied, parameterized using various techniques due to broad applicability motorering industrial settings. However, most methods for obtaining model parameters require at least two averaged signals from the motor, such as torque, current, speed, position, or acceleration. In this work, we propose motor’s only speed signal steady-state values variables. Through evolutionary computation, mechanical electrical equations motor are reconstructed based on signal. This approach offers significant advantage, it enables parameter estimation without requiring instrumentation needed full current measurement or, alternatively, torque measurement. To achieve this, transfer function representing is utilized. reconstruction performed with Root Mean Square Error (RMSE) less than 1% both signals. Since original not required estimation, work presents an innovative estimating system single measured variable relationships its step-input response.

Язык: Английский

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Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches

REVIEWS ON ADVANCED MATERIALS SCIENCE, Год журнала: 2025, Номер 64(1)

Опубликована: Янв. 1, 2025

Abstract The performance and durability of conventional concrete (CC) are significantly influenced by its weak tensile strength strain capacity (TSC). Thus, the intrusion fibers in cementitious matrix forms ductile engineered composites (ECCs) that can cater to this area CC. Moreover, ECCs have become a reasonable substitute for brittle plain due their increased flexibility, ductility, greater TSC. prediction ECC is crucial without need laborious experimental procedures. achieve this, machine learning approaches (MLAs), namely light gradient boosting (LGB) approach, extreme (XGB) artificial neural network (ANN), k -nearest neighbor (KNN), were developed. data gathered from literature comprise input parameters which fiber content, length, cement, diameter, water-to-binder ratio, fly ash (FA), age, sand, superplasticizer, TSC as output utilized. assessment models gauged with coefficient determination ( R 2 ), statistical measures, uncertainty analysis. In addition, an analysis feature importance carried out further refinement model. result demonstrates ANN XGB perform well train test sets > 0.96. Statistical measures show all give fewer errors higher , depict robust performance. Validation via K -fold confirms showing correlation determination. reveals FA major contribution ECC. graphical user interface also developed help users/researchers will facilitate them estimate practical applications.

Язык: Английский

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Multi-agent reinforcement learning system framework based on topological networks in Fourier space

Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 112986 - 112986

Опубликована: Март 1, 2025

Язык: Английский

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A scientometric review on the utilization of copper slag as a substitute constituent of ordinary Portland cement concrete

REVIEWS ON ADVANCED MATERIALS SCIENCE, Год журнала: 2025, Номер 64(1)

Опубликована: Янв. 1, 2025

Abstract This article presents a scientometric review on the utilization of copper slag (CS) as substitute constituent in ordinary Portland cement concrete, with greater focus analyzing CS supplementary cementitious material (SCM). The was conducted through comprehensive analysis literature using Scopus and VOSviewer, examining publication trends, document types, subject areas, leading contributors, overall progression research concrete. revealed substantial increase publications between 2015 2022, journal “Construction Building Materials” country “India” identified most influential field. methodology involved filtering relevant documents to impactful research, which then critically analyzed assess fresh hardened properties findings indicate that incorporating 5–10% an SCM can significantly enhance mechanical durability also found improve concrete by imparting micro-filler effect, thereby densifying structure. Additionally, contributes ecological benefits heavy metals into matrix, preventing their leaching, aiding environmental conservation. Despite these promising results, acknowledges long-term performance remains critical area needs further investigation.

Язык: Английский

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Machine learning, numerical, and analytical approaches for vibration prediction of porous gradient piezoelectric beams under traveling force

Measurement, Год журнала: 2024, Номер unknown, С. 116565 - 116565

Опубликована: Дек. 1, 2024

Язык: Английский

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