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Load-frequency control01:28

Load-frequency control

93
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...
93
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

128
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:
128
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

86
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
86
Power Factor Correction01:20

Power Factor Correction

142
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.
142
Turbine-Governor Control01:17

Turbine-Governor Control

114
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...
114
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

87
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
87

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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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使用ANFIS-SRF控制的DSTATCOM优化弱电网集成风能系统.

Peram Venkata Ramana1, K Mercy Rosalina2

  • 1Department of EEE, Vignan's Foundation for Science, Technology and Research, Guntur, India. Peramvenkataramana23@gmail.com.

Scientific reports
|April 21, 2025
PubMed
概括

本研究介绍了一种适应性神经模糊推理系统 (ANFIS) 控制器,用于改善连接到弱电网的风能系统的电力质量. 该ANFIS-SRF控制器增强稳定性和减少波,确保可靠的可再生能源整合.

关键词:
适应性神经模糊干扰系统 (ANFIS)分布式静态补偿器 (DSTATCOM) 的使用同步的参考框架 (SRF)弱电网 弱电网是一个弱电网.风能是风能能源的重要来源.

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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
  • 智能控制系统 智能控制系统

背景情况:

  • 弱电网面临风能整合的挑战,包括电压波动和波.
  • 传统控制器缺乏适应动态电网条件的实时适应性.
  • 分配静态补偿器 (DSTATCOM) 对电网稳定性至关重要,但需要先进的控制.

研究的目的:

  • 提出一个智能控制战略,以提高连接到弱电网的风能系统的电力质量.
  • 为DSTATCOM.COM开发一个基于ANFIS的同步参考框架 (SRF) 控制器的自适应性神经模糊推理系统 (ANFIS).
  • 为了证明ANFIS-SRF控制器在弱电网场景中优于传统方法的优势.

主要方法:

  • 为DSTATCOM.实施基于ANFIS的SRF控制策略.
  • 使用ANFIS来动态调整反应功率补偿,波减轻和电压稳定.
  • 使用模拟来验证控制器在各种负载和风条件下的性能.

主要成果:

  • 减少了电网电压总波扭曲,从11.26%降至9.83% (非线性负载) 和4.97%降至2.64% (混合负载).
  • 改进了功率因子,达到0.98.8以上.
  • 在不同的风条件下保持电网电压和电流稳定,符合IEEE 1547和IEEE 519-2014标准.

结论:

  • 由ANFIS-SRF控制的DSTATCOM有效地提高了弱电网的电力质量和稳定性.
  • 建议的智能控制策略与风能集成的传统方法相比,提供了更高的性能.
  • 这项研究为增加电网稳定性和可再生能源透率提供了一种自学,实时适应性解决方案.