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相关概念视频

Transformers in Distribution System01:27

Transformers in Distribution System

99
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
99
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

142
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
142
Reducing Line Loss01:18

Reducing Line Loss

150
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
150
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

73
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
73
Multimachine Stability01:25

Multimachine Stability

150
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
150

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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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基于EL-VMD-Transformer-ResLSTM的短期天然气负载预测

Mingzhi Zhao1, Guangrong Guo2, Lijun Fan2

  • 1The College of Computer Science and Engineering, North Minzu University, Yinchuan, 750021, China.

Scientific reports
|September 2, 2024
PubMed
概括

准确的天然气消耗预测至关重要. 本研究引入了一种混合模型,该模型结合了集体学习 (EL),变化模式分解 (VMD),变压器和LSTM,显著提高了预测准确性.

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科学领域:

  • 能源系统分析 能源系统分析
  • 计算智能是一种计算智能.
  • 时间序列预测时间序列预测

背景情况:

  • 城市天然气消费受到不断变化的居民习惯和生活方式的影响.
  • 准确预测天然气需求对于高效的能源管理和电网稳定性至关重要.
  • 现有的预测模型往往难以捕捉天然气消耗数据中的复杂模式.

研究的目的:

  • 为天然气消耗开发一种新的混合预测模型.
  • 通过整合先进的机器学习技术来提高预测准确性.
  • 在动态的城市环境中解决传统预测方法的局限性.

主要方法:

  • 集体学习 (EL) 使用XGBoost,CatBoost和LightGBM作为基础学习者.
  • 变化模式分解 (VMD) 用于将天然气负载序列分解为内在模式函数 (IMF).
  • 一个新的变压器-ResLSTM网络,具有修改的解码器结构和剩余连接用于预测.

主要成果:

  • 与ARIMA,变压器,GRU和LSTM相比,拟的混合动力模型表现出优异的性能.
  • 平均平方误差 (MSE) 显著减少92-98%,平均绝对误差 (MAE) 显著减少74-83%.
  • 该模型有效地提取了固有的特征,并提高了天然气负载预测的准确性.

结论:

  • 混合式EL-VMD-变压器-ResLSTM模型在天然气消耗预测方面取得了重大进展.
  • 该方法在能源管理和城市规划方面具有实践应用的巨大潜力.
  • 准确的预测支持优化资源分配和电网可靠性.