Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

152
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:
152
Multimachine Stability01:25

Multimachine Stability

129
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:
129
Control of Power Flow01:30

Control of Power Flow

247
There are several methods to control power flow in power systems:
247
Generator Voltage Control01:21

Generator Voltage Control

109
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,...
109
Turbine-Governor Control01:17

Turbine-Governor Control

145
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...
145
The Swing Equation01:21

The Swing Equation

291
The Swing Equation is a fundamental tool in power system dynamics, especially for analyzing the behavior of generating units like three-phase synchronous generators. This equation emerges from applying Newton's second law to the rotor of a generator, encompassing factors such as inertia, angular acceleration, and the interplay between mechanical and electrical torques.
In a steady-state operation, the mechanical torque (Τm) supplied to the generator is balanced by the electrical torque...
291

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Fractional Soliton Dynamics in Coupled Myelinated Fibers: Comparative Modeling With Beta, Caputo, and Atangana-Baleanu Derivatives.

Biomedical engineering and computational biology·2026
Same author

Simultaneous multi-controller fusion via genetic algorithm-optimized weighted summation for variable-speed wind turbine control.

Scientific reports·2026
Same author

A nonlinear observer-based control strategy for hybrid energy storage systems to improve voltage disturbance rejection in DC microgrids.

Scientific reports·2025
Same author

Optimum energy management of distribution networks with integrated decentralized PV-BES systems using SPEA2-based optimization approach.

Scientific reports·2025
Same author

State and disturbance estimation with supertwisting sliding mode control for frequency regulation in hydrogen based microgrids.

Scientific reports·2025
Same author

Enhancing the performance of grid-connected DFIG systems using prescribed convergence law.

Scientific reports·2025

相关实验视频

Updated: May 24, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

176

协同简化超扭曲算法控制用于增强基于光伏/BESS的直流微电网的稳定性.

Naamane Debdouche1, Ali Chebabhi2, Habib Benbouhenni3

  • 1Brothers Mentouri University, 25000, Constantine, Algeria.

Scientific reports
|March 3, 2025
PubMed
概括

一个新的协同简化超扭算法 (SSSTA) 提高了使用太阳能和电池存储的直流微电网 (MGs) 的稳定性和性能. 这种控制策略确保了可靠的能源供应,尽管负载和太阳能条件波动.

关键词:
电池储能系统是电池中的储能系统.微电网就是一个微电网.光伏系统的光伏系统.协同简化超扭曲算法 协同简化超扭曲算法

更多相关视频

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K
Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.3K

相关实验视频

Last Updated: May 24, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

176
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K
Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.3K

科学领域:

  • 电气工程 电气工程
  • 可再生能源系统可再生能源系统
  • 控制理论 控制理论

背景情况:

  • 全球变暖需要有效地整合可再生能源.
  • 使用可再生能源 (RES) 的微电网 (MGs) 对可持续能源至关重要.
  • 电流微电网 (DC-MG) 需要先进的控制来确保稳定性和效率.

研究的目的:

  • 为了引入一种创新的控制机制,协同简化超算法 (SSSTA).
  • 为了调节DC-MG中的功率控制单元,使用电池储能系统 (BESS) 和太阳能光伏 (PV) 单元.
  • 确保稳定的直流总线电压,并管理不同负载需求的能量分配.

主要方法:

  • 该研究提出了用于DC-MG控制的协同简化超扭算法 (SSSTA).
  • SSSTA通过双向直流-直流反增压转换器调节BESS,通过单向直流-直流增压转换器调节光伏系统.
  • 进行了MATLAB模拟,以验证SSSTA对比例积分 (PI) 控制的有效性.

主要成果:

  • 在使用太阳能光伏和电池的DC-MG系统中,SSSTA证明了性能和稳定性的提高.
  • 控制策略在动态负载条件和太阳辐射波动下维持了MG系统的稳定性.
  • SSSTA有效地管理了能源分配,确保了所需的直流总线电压水平.

结论:

  • 该SSSTA提高了MGs与RESs集成的可靠性和效率.
  • 这种控制方法为DC-MGs的能源管理提供了强大的解决方案.
  • 这些发现促进了基于可再生能源的稳定和高效的微电网的更广泛采用.