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相关概念视频

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

300
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:
300
Control of Power Flow01:30

Control of Power Flow

317
There are several methods to control power flow in power systems:
317
Load-frequency control01:28

Load-frequency control

267
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...
267
Generator Voltage Control01:21

Generator Voltage Control

248
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
248
Multimachine Stability01:25

Multimachine Stability

234
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:
234
Turbine-Governor Control01:17

Turbine-Governor Control

401
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
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通过使用遗传算法优化自动发电控制,在现实世界的负载变化下优化电力系统的弹性.

Muhammad Ayaz1, Dur-E-Zehra Baig2, Syed Muhammad Hur Rizvi3

  • 1Pak-Austria Fachhochschule Institute of Applied Sciences and Technology, Haripur, 21090, Pakistan.

Scientific reports
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PubMed
概括
此摘要是机器生成的。

基因算法优化PID (GA-PID) 显著提高了面临广泛负载变化的电力系统的自动发电控制 (AGC) 稳定性. GA-PID的性能优于传统方法,确保更快的稳定性和在负载变化期间更高的准确性.

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科学领域:

  • 电气工程 电气工程
  • 控制系统 控制系统
  • 电力系统 电力系统

背景情况:

  • 现代电力系统需要强大的自动发电控制 (AGC),以保持对突然负载波动的稳定性.
  • 在多样化和显著的负载变化下评估AGC性能对于可靠的电网运行至关重要.

研究的目的:

  • 综合评估三种AGC控制策略在各种负载变化 (100-300MW增量/减量) 下的性能.
  • 为了比较传统的AGC (CAGC),连线偏差 (TLB) 控制和基因算法优化PID (GA-PID) 在两区域互连的电力系统中.

主要方法:

  • 模拟了一个双区域互连的电力系统,经过12个不同的负载变化场景 (100-300兆瓦).
  • 在所有场景中评估了CAGC,TLB和GA-PID控制策略,共进行了360次测试.
  • 性能指标包括超额冲击,低额冲击,结算时间和两个系统区域的稳定状态精度.

主要成果:

  • 与CAGC和TLB相比,GA-PID在最小化短暂偏差和确保更快的稳定方面表现优异.
  • 在负载增加时,GA-PID减少了高达90%的超支,并在几个情况下消除了超支.
  • CAGC和TLB表现出较大的干扰的弱点,导致长时间的振荡和显著的偏差.

结论:

  • GA-PID是现代电力系统的高效和灵活的控制策略,需要适应不可预测的负载变化.
  • 这些发现强调了GA-PID等先进控制方法对于保持电力系统稳定性和可靠性的重要性.