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相关概念视频

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

164
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
164
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

93
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

161
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the...
161
Control of Power Flow01:30

Control of Power Flow

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There are several methods to control power flow in power systems:
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Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

529
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
529
Power in a Three-Phase Circuit01:15

Power in a Three-Phase Circuit

289
Three-phase systems have two configurations: the wye and delta. A star configuration can be three or four wires; in a delta configuration, the components are connected in a closed loop. Instantaneous power refers to the power value at a precise moment, and in a balanced three-phase system, it is constant. This is because the sum of the instantaneous powers in the three phases remains steady over time, despite individual fluctuations, due to the symmetry and phase relationship. The total...
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优化光伏发电厂预测与动态神经网络结构的完善.

Dácil Díaz-Bello1, Carlos Vargas-Salgado2,3, Manuel Alcazar-Ortega1,4

  • 1Instituto de Ingeniería Energética, Universitat Politècnica de València, Valencia, Spain.

Scientific reports
|January 27, 2025
PubMed
概括

准确的光伏电力预测对于可再生能源管理至关重要. 这项研究引入了一种使用遗传算法和动态神经网络的新方法,以提高太阳能预测准确度,实现显著的改进.

关键词:
人工神经网络的人工神经网络预测 预测 预测 预测遗传算法 遗传算法 遗传算法建模建模模型是什么优化优化 优化优化参数化的参数化太阳能光伏能源的使用

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科学领域:

  • 可再生能源系统可再生能源系统
  • 人工智能在能源中的作用
  • 光伏发电是光伏发电的发电方式.

背景情况:

  • 能源系统的高效管理依赖于精确的光伏发电预测.
  • 尽管天气预报方面取得了进展,但精确的光伏电力预测仍然是一个重大挑战.
  • 可再生能源的固有不确定性需要可靠的预测方法.

研究的目的:

  • 开发和验证一种用于优化光伏功率预测的新方法.
  • 通过动态改进神经网络结构来提高太阳能预测的准确性.
  • 使用遗传算法和神经网络优化组合来最大限度地减少预测错误.

主要方法:

  • 采用了一种结合遗传算法和动态神经网络结构改进的新方法.
  • 神经网络参数,包括神经元,转移函数,权重和偏差,在训练过程中被动态调整.
  • 该方法使用一年,月度和季节性数据在12个代表性日内进行评估,并与多重线性回归和非线性自回归神经网络模型进行比较.
  • MATLAB被用于建模,培训和测试,在一个真正的4.2千瓦的光伏电站上进行验证.

主要成果:

  • 与现有模型相比,拟议的方法在预测准确度方面取得了显著的改进.
  • 包括平均平方误差 (MSE),R值和平均百分比误差在内的评估指标表明了有希望的结果.
  • 在阴天达到20W的低平均平方误差,在阳光明的日子达到175W.
  • 观察到高预测与目标回归一致性,R值范围从0.95824到0.99980.

结论:

  • 这种新的方法有效提高了光伏发电预测的可靠性和准确性.
  • 神经网络参数的动态调整是优化太阳能预测的可行策略.
  • 该方法在高可再生能源透率的能源系统管理方面取得了重大进展.