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相关概念视频

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

195
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:
195
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

116
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.
116
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

631
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...
631
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

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Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
3.6K
Maximum Power Transfer01:16

Maximum Power Transfer

261
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
261
Power Factor Correction01:20

Power Factor Correction

179
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
179

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相关实验视频

Updated: Jul 5, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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能源微电网管理系统的高效设计:一种基于Remora优化算法的方法.

Hua Zhang1, Yingying Ma1, Keke Yuan2

  • 1School of Computer Science and Engineering, Hunan University of Information Technology, ChangSha, 410151, China.

Heliyon
|January 15, 2024
PubMed
概括

本研究介绍了微电网的优化能源管理策略,使用促进Remora优化 (PRO) 算法. PRO算法提高了微电网运营的效率和成本效益,特别是可再生能源的整合.

关键词:
电池存储储存储的电池.燃料电池燃料电池的使用情况.微电网就是一个微电网.最佳的能源管理策略.光伏系统的光伏系统.提升了remora优化算法的优化算法.

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科学领域:

  • 电气工程 电气工程
  • 可再生能源系统可再生能源系统
  • 优化算法 优化算法

背景情况:

  • 微电网提供了分散的电力,提高了可靠性和弹性.
  • 将可变可再生能源集成到微电网中,带来了重大的管理挑战.
  • 有效的能源管理对于在微电网中平衡供需和成本至关重要.

研究的目的:

  • 为微电网提出一个优化和高效的能源管理战略.
  • 解决利用太阳能和绿色能源的微电网的挑战.
  • 确保可靠的电力供应,同时最大限度地降低成本和保护电池存储.

主要方法:

  • 开发一种基于PRO算法的新能源管理策略.
  • 应用PRO算法以优化微电网在独立和连接到电网模式中的运行.
  • 在微电网文献中对现有能源管理策略进行比较分析.

主要成果:

  • 该PRO算法有效优化了电池充电,保持充电状态 (SoC) 在33.37%-33.60%之间.
  • 实现了高系统效率 (平均87.99%) 和优化器效率 (平均86.46%).
  • 证明了成本效益,每功率的成本从0.1687美元/千瓦到0.1699美元/千瓦不等.

结论:

  • PRO算法为高效和成本效益的微电网能源管理提供了一个有前途的方法.
  • 拟议的战略有效地平衡了能源供需,同时确保了系统稳定性和电池健康.
  • 对比分析证实了基于PRO的方法优于微电网优化的现有方法.