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相关概念视频

Load-frequency control01:28

Load-frequency control

126
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...
126
Multimachine Stability01:25

Multimachine Stability

141
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:
141
Control of Power Flow01:30

Control of Power Flow

253
There are several methods to control power flow in power systems:
253
Turbine-Governor Control01:17

Turbine-Governor Control

167
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...
167
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

104
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
104
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

86
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
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相关实验视频

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一个基于人工智能的多阶段控制器,用于电力系统中的负载频率控制.

Mostafa Jabari1, Davut Izci2,3, Serdar Ekinci2

  • 1Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran.

Scientific reports
|November 28, 2024
PubMed
概括

本研究介绍了一种优化负载频率控制 (LFC) 策略,使用一种新的生物动态优化算法 (BDGOA) 来稳定电力系统. 新的控制器显著减少了频率和连接线功率波动,提高了整体电网稳定性.

关键词:
先进的优化方法 先进的优化方法人工智能的人工智能是人工智能.生物动态虫优化算法 生物动态虫优化算法混合动力动力系统 混合动力动力系统智能控制 智能控制 智能控制负载频率控制器负载频率控制器多阶段控制器多阶段控制器

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科学领域:

  • 电气工程 电气工程
  • 控制系统 控制系统
  • 整合可再生能源的整合

背景情况:

  • 由于发电和需求之间的不平衡,电力系统面临频率和连线功率波动.
  • 负载频率控制 (LFC) 对于保持稳定的电力系统运行至关重要.
  • 整合可再生能源,如光伏发电厂,增加了LFC的复杂性.

研究的目的:

  • 为两个区域的电力系统优化新型多阶段TDn(1+PI) 控制器的参数.
  • 提高动力系统的动态性能,特别是减少频率和连线电源振荡.
  • 应用一种新的元启发式优化技术,即生物动态虫优化算法 (BDGOA),用于控制器调整.

主要方法:

  • 开发一个多阶段的TDn(1+PI) 控制器,将倾斜衍生与N过器 (TDn) 和比例整体 (PI) 元素相结合.
  • 应用生物动态优化算法 (BDGOA) 来调整拟议的控制器的参数.
  • 在各种负载条件和系统非线性下模拟和分析包括再热热发电机和光伏发电厂在内的两区域电力系统.

主要成果:

  • 该BDGOA-TDn(1+PI) 控制器显著减少了系统频率和连接线功率变化的超越 (高达75%).
  • 实现了更快的振荡沉降时间 (改善了高达60%).
  • 观察到时间加权绝对误差 (ITAE) 的积分较低 (50%的减少),表明与传统控制器相比,性能优越.

结论:

  • 拟议的BDGOA-TDn(1+PI) 控制器为复杂的电力系统中的负载频率控制提供了强大而有效的解决方案.
  • 该BDGOA算法为先进的LFC控制器提供了高效的参数调整.
  • 控制器在稳定性和动态响应方面表现出显著的改进,即使在具有挑战性的操作条件和非线性条件下.