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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
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-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

83
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
83
Power Factor Correction01:20

Power Factor Correction

156
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.
156
Control of Power Flow01:30

Control of Power Flow

253
There are several methods to control power flow in power systems:
253

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使用海洋捕食者算法进行增强的电力系统稳定器调整,并进行比较分析和实时验证.

Intissar Hattabi1, Aissa Kheldoun2, Rafik Bradai3

  • 1SET Laboratory, Electrical and Control Department, Faculty of Technology, Blida 1 University, 09000, Blida, Algeria.

Scientific reports
|November 23, 2024
PubMed
概括

海洋捕食者算法 (MPA) 有效调整电力系统稳定器 (PSS),以减少低频振荡. 调整为MPA的PSS显著优于其他方法,提高了电力系统的稳定性.

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科学领域:

  • 电气工程 电气工程
  • 控制系统 控制系统
  • 计算智能是一种计算智能.

背景情况:

  • 低频振荡 (LFO) 是现代电力系统的一个重大问题,可能导致不稳定.
  • 动力系统稳定器 (PSS) 是缓解这些振荡的关键控制装置.
  • 超启发式算法为调整PSS参数提供了高级优化功能.

研究的目的:

  • 实施和评估海洋捕食者算法 (MPA) 以优化电力系统稳定器 (PSS) 参数.
  • 为了增强各种动力系统测试模型中低频振荡的阻尼.
  • 将MPA的性能与其他领先的元启发算法进行比较.

主要方法:

  • 海洋捕食者算法 (MPA) 用于调整PSS参数.
  • 对单机无限总线 (SMIB),WSCC和新英格兰10台39个总线的动力系统进行了模拟.
  • 性能与粒子优化 (PSO),鱼优化算法 (WOA) 和使用各种健身功能的其他算法进行了评估.
  • 实时数字模拟 (CU-SLRT Std) 和硬件在循环 (HIL) 实现验证了结果.

主要成果:

  • 与其他算法相比,MPA优化的PSS在抑制低频振荡方面表现优越.
  • 改进达到高达98.62%的PSO, 71.79%的WOA和78.04%的非洲优化算法 (AVOA).
  • 在多个测试系统和通过HIL的验证证实了MPA方法的稳定性和有效性.

结论:

  • 海洋捕食者算法 (MPA) 是调整PSS参数以提高电力系统稳定性的高效方法.
  • 在抑制低频振荡方面,MPA具有显著的优势,其性能优于已有的优化技术.
  • 该研究通过实时和HIL实现验证了MPA的实际适用性.