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相关概念视频

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

292
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:
292
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

183
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.
183
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

341
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...
341
Control of Power Flow01:30

Control of Power Flow

316
There are several methods to control power flow in power systems:
316
Load-frequency control01:28

Load-frequency control

260
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
260
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

738
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
738

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相关实验视频

Updated: Sep 14, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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优化可再生能源的随机最佳反应功率调度,使用修改的英算法.

Naima Agouzoul1, Aziz Oukennou2, Faissal Elmariami1

  • 1National Superior School of Electricity and Mechanics (ENSEM), Hassan II University of Casablanca, Oasis, Casablanca, Morocco.

PloS one
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PubMed
概括
此摘要是机器生成的。

一个修改后的花优化器 (MDO) 算法有效地解决了随机最佳反应功率调度 (SORPD) 问题. 这种方法减少了预期的功率损失,并提高了电压稳定性,特别是与可再生能源的整合.

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科学领域:

  • 电气工程 电气工程
  • 电力系统优化 电力系统优化
  • 计算智能是一种计算智能.

背景情况:

  • 传输系统性能提升至关重要,可以通过最佳反应功率调度 (ORPD) 来实现.
  • 随机最佳反应功率调度 (SORPD) 由于负载需求和可再生能源 (RER) 的持续变化而带来挑战.

研究的目的:

  • 为优化SORPD问题引入一个修改后的花优化器 (MDO) 算法.
  • 为了应对负载需求和RER发电的随机波动.
  • 为了减少预期功率损失 (SEPL) 和提高预期电压稳定性 (SEVS) 在IEEE 30 总线系统中.

主要方法:

  • 该MDO算法整合了基于准对立的学习 (QOBL),韦布尔飞行运动策略 (WFM) 和健身距离平衡 (FDB) 以改善探索和利用.
  • 蒙特卡洛模拟和场景减少生成了15种场景,以模拟负载需求和RER功率的不确定性.
  • 解决了IEEE 30 总线系统的 SORPD 问题,评估了带有和没有 RER 集成的性能.

主要成果:

  • 拟议的MDO算法显著减少了SEPL和改进了SEVS,特别是当RERs被整合时.
  • 模拟结果证明了MDO对SORPD的有效性.
  • 对比分析显示,MDO的表现优于沙猫群优化 (SCSO),大猩猩部队优化 (GTO),和搜索 (HS) 和白优化 (BWO).

结论:

  • 修改后的子优化器 (MDO) 为随机最佳反应功率调度问题提供了有效的解决方案.
  • MDO提高了电力系统的稳定性,减少了损失,提供了一个强大的方法来整合可再生能源.
  • 与SORPD的其他优化算法相比,MDO表现出优越的性能.