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相关概念视频

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

791
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:
791
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

663
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.
663
Load-frequency control01:28

Load-frequency control

711
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...
711
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

919
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 power flow program computes...
919
Control of Power Flow01:30

Control of Power Flow

724
There are several methods to control power flow in power systems:
724
Power System Distribution01:25

Power System Distribution

1.2K
Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...
1.2K

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相关实验视频

Updated: Mar 7, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

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在热电系统的优先级敏感调度下,使用GA-APO杂交的加权成本排放调度优化.

Chodagam Srinivas1, M Rama Prasad Reddy2, Vineet Kumar1

  • 1Department of Electrical and Electronics Engineering, Madanapalle Institute of Technology & Science, Madanapalle, Andhra Pradesh, India.

Scientific reports
|March 5, 2026
PubMed
概括

本研究介绍了用于发电厂调度的混合基因算法-北极优化 (GA-APO) 技术. 这种新的方法有效地平衡了发电中的经济成本和环境排放.

关键词:
北极松鼠的优化 (APO)成本 排放权交易预测的负载管理预测.负载场景分析 负载场景分析基于优先级的调度战略.

相关实验视频

Last Updated: Mar 7, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

2.2K

科学领域:

  • 电气工程 电气工程
  • 优化算法 优化算法
  • 环境科学 环境科学

背景情况:

  • 现代电力公用事业公司面临复杂的调度挑战,将经济燃料成本与环境影响相结合.
  • 传统的单一目标优化工具与热单元的非线性燃料和排放特性作斗争.

研究的目的:

  • 为经济-排放调度问题制定一个强大的两阶段优化策略.
  • 创建一个灵活的加权配方,以平衡成本节约和减排.

主要方法:

  • 一种混合方法,将广泛搜索的遗传算法 (GA) 与局部改进的北极优化 (APO) 结合起来.
  • 测试拟议的GA-APO方法在一个三发电机热电厂的24小时时间表上.

主要成果:

  • 在各种条件下,GA-APO方法在运行限制内表现令人满意.
  • 与GA单独相比,实现了高达1.88%的运营成本 (成本优先) 降低.
  • 减少了约0.21%的排放消耗 (排放优先),每兆瓦时的成本降低了0.68% (平衡).

结论:

  • 混合GA-APO策略为经济-排放调度问题提供了有效的解决方案.
  • 权重配方允许适应性优化,以实现成本,减排或妥协.
  • 与传统GA相比,经过验证的有效性,提供了显著的经济和环境效益.