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Net Torque Calculations01:19

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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.
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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...
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Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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通过基于ANN的直接扭矩控制,使用实时模拟来提高光伏水系统的性能.

Ikram Saady1,2, Btissam Majout1, Ismail El Kafazi2

  • 1Laboratory of Engineering Modelling and Systems Analysis, Sidi Mohamed Ben Abdellah University, Fez, Morocco.

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概括

人工神经网络通过改进最大功率点跟踪 (MPPT) 和直接扭矩控制 (DTC) 来增强光伏水系统 (PVWPS). 这导致波纹显著减少,可再生水的响应时间更快.

关键词:
人工神经网络的人工神经网络直接扭矩控制器可以控制扭矩.感应电机的感应电机是什么太阳能水系统的太阳能水系统dSPACE DS1104 是一个空间.

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科学领域:

  • 可再生能源系统可再生能源系统
  • 控制工程 控制工程 控制工程
  • 人工智能的人工智能

背景情况:

  • 光伏水系统 (PVWPS) 对农村可再生能源至关重要,提供独立性和成本节约.
  • 传统的PVWPS控制器,包括MPPT和直接扭矩控制 (DTC),面临诸如电力提取效率低下和电机控制缺陷等挑战.
  • 现有的DTC方法存在流量/扭矩波动和低速性能差.

研究的目的:

  • 引入人工神经网络 (ANN) 来增强PVWPS控制器.
  • 通过先进的控制策略来提高PVWPS的效率和性能.
  • 为解决光伏水应用常规MPPT和DTC的局限性.

主要方法:

  • 实现基于ANN的最大功率点跟踪 (MPPT) 控制器,以实现最佳的光伏阵列电源提取.
  • 基于ANN的直接扭矩控制 (DTC) 策略的开发,取代传统的组件,如歇斯底里比较器和切换表.
  • 使用MATLAB/Simulink对PVWPS进行建模和模拟,并通过dSPACE DS1104板实时模拟进行验证.

主要成果:

  • 在感应电机中显著减少了流量波纹 (75.51%) 和扭矩波纹 (77.5%).
  • 系统响应时间提高了44.79%,水输出量增加.
  • 实时模拟结果验证了拟议的基于ANN的控制策略的有效性.

结论:

  • 基于ANN的控制器为PVWPS提供了优越的解决方案,克服了传统方法的局限性.
  • 拟议的系统证明了光伏水的提高效率,稳定性和性能.
  • 这一进步有助于为供水提供更可靠,更有效的可再生能源解决方案.