Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current

Energies, Journal Year: 2025, Volume and Issue: 18(1), P. 179 - 179

Published: Jan. 3, 2025

To address the challenge of accurately identifying tree-related high-impedance earth faults (THIEFs), a method based on long-term fluctuations in zero-sequence current is proposed. The analysis recorded data from staged tests real test network reveals development patterns THIEFs and their characteristics during fault process. It was found that, over an extended duration, fluctuation RMS value curves for differ significantly those other types (HIEFs). By applying approximate arc length parameterization, curve standardized. curvature standard deviation, average variation rate, its deviation are used as feature parameters. An identification improved grey wolf optimization probabilistic neural constructed. Validation with results demonstrates that proposed achieves success rate 97.5%, distinguishing HIEF.

Language: Английский

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Learning Coupled Meteorological Characteristics Aids Short-Term Photovoltaic Interval Prediction Methods

Energies, Journal Year: 2025, Volume and Issue: 18(2), P. 308 - 308

Published: Jan. 12, 2025

In response to the challenges posed by renewable energy integration, this study introduces a hybrid Attention-TCN-LSTM model for short-term photovoltaic (PV) power forecasting. The LSTM captures sequence characteristics of PV output, which are then combined with meteorological features extracted Attention-TCN module. leverages strengths TCN, LSTM, and self-attention mechanism enhance prediction accuracy construct reliable intervals. Aiming optimize both performance efficiency, PSO algorithm is used hyperparameter optimization. Ablation studies comparisons other models confirm effectiveness, robustness proposed model. This approach contributes improved offering more stable supply. Future work will focus on incorporating intelligent systems autonomous risk management real-time control dynamic output fluctuations.

Language: Английский

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A Short-term photovoltaic power prediction method based on the nearest clear sky day decomposition and temporal convolutional network

Electrical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Language: Английский

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Framework design and empirical analysis of intelligent scheduling system for high-altitude photovoltaic power generation based on mixed optimization of long-nosed raccoon optimization algorithm and black winged kite optimization algorithm (COA-BKA)

Deleted Journal, Journal Year: 2025, Volume and Issue: 28(1)

Published: April 25, 2025

Language: Английский

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