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相关概念视频

Turbine-Governor Control01:17

Turbine-Governor Control

271
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...
271
Load-frequency control01:28

Load-frequency control

191
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...
191
Generator Voltage Control01:21

Generator Voltage Control

183
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,...
183
Control of Power Flow01:30

Control of Power Flow

290
There are several methods to control power flow in power systems:
290
Multimachine Stability01:25

Multimachine Stability

188
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:
188
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

140
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...
140

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相关实验视频

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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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在以PMSG为基础的风力轮机相互连接的电力系统中对随机干扰进行分散的采样数据控制.

Lakshmanan Shanmugam, Kumarasamy Palanimuthu, Young Hoon Joo

    IEEE transactions on cybernetics
    |August 24, 2023
    PubMed
    概括

    这项研究提高了基于永久磁同步发电机 (PMSG) 的风力轮机 (WTs) 的相互连接电力系统的稳定性,使用了分散的控制策略. 该研究确保了可靠的频率响应,防止干扰,以提高电网性能.

    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:

    • 相互连接的电力系统 (IPS) 面临的挑战是保持稳定的频率响应,这是由于可再生能源的整合,如基于永磁同步发电机 (PMSG) 的风力轮机 (WTs).
    • 外部和随机干扰可以显著降低这些系统的性能.
    • 现有的模型往往不能完全捕捉影响WTs的干扰的随机性质.

    研究的目的:

    • 在各种干扰下调查和改进IPS与基于PMSG的WTs的频率响应稳定性.
    • 开发一个分散的控制方案,以提高系统的弹性.
    • 为了更现实的分析,将系统纳入随机干扰的模型.

    主要方法:

    • 基于PMSG的WTs的IPS状态空间模型的推导.
    • 开发一个随机状态空间模型,包括外部和随机干扰.
    • 设计一个分散的采样数据负载频率控制策略.
    • 运用利亚普诺夫稳定理论和伊托的公式来推导出足够的稳定条件.

    主要成果:

    • 随机足够条件被推导出,以保证在 H∞ 性能的平均平方中的非对称稳定性.
    • 拟议的去中心化控制方案有效调节对决定性和随机噪声的频率响应.

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  • 与现有方法相比,在三区域IPS上的模拟表明了优越的稳定性性能.

    • 结论:

    • 开发的去中心化控制策略显著提高了基于PMSG的WTs的互连电力系统的频率响应稳定性.
    • 随机建模方法提供了在干扰下更准确地表示系统动态.
    • 结果证实了拟议的方法的有效性,以实现高风力透率的可靠电网运行.