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相关概念视频

Maximum Power Transfer01:16

Maximum Power Transfer

239
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
239
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

97
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.
97
Reducing Line Loss01:18

Reducing Line Loss

149
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
149
Energy Losses in Transformers01:21

Energy Losses in Transformers

843
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
843
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

130
Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
130
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

178
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:
178

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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使用多目标灰狼优化器进行多目标最佳的TCSC放置,以减少功率损失.

Nartu Tejeswara Rao1, Kalyana Kiran Kumar1, Polamarasetty P Kumar2

  • 1Department of Electrical and Electronics Engineering, Aditya Institute of Technology and Management, Tekkali, India.

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概括
此摘要是机器生成的。

这项研究优化了使用多目标灰狼优化器 (MOGWO) 控制电阻系列补偿器 (TCSC) 的放置,以减少电力系统的损失. MOGWO有效地确定最佳的TCSC位置,以提高电力系统性能.

关键词:
这是事实,事实是事实.多目标灰狼优化器 多目标灰狼优化器帕雷托-最佳的技术.这里是TOPSIS的地图.螺旋控制的连续补偿器

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科学领域:

  • 电气工程 电气工程
  • 优化算法 优化算法
  • 电力系统 电力系统

背景情况:

  • 电力系统面临电力损失和运营成本的挑战.
  • 像TCSC这样的灵活交流传输系统 (FACTS) 设备的最佳放置对于效率至关重要.
  • 现有的优化方法可能无法充分解决多目标TCSC安置问题.

研究的目的:

  • 应用多目标灰狼优化器 (MOGWO) 以获得最佳的电阻控制系列补偿器 (TCSC) 放置.
  • 尽量减少相互冲突的目标:功率损失和TCSC的资本成本.
  • 为了评估MOGWO的有效性与其他优化算法对TCSC放置的优化算法.

主要方法:

  • 使用多目标灰狼优化器 (MOGWO) 进行TCSC放置.
  • 采用帕雷托最佳方法来产生客观的权衡前线.
  • 应用模糊集和TOPSIS技术来选择最佳解决方案.
  • 在IEEE 30总线测试系统上模拟.

主要成果:

  • MOGWO有效地确定了最佳的TCSC位置,以最大限度地减少功耗损失.
  • 证明了实际和反应功率损耗的显著减少.
  • 在降低功耗损失和TCSC资本成本之间取得了有利的平衡.
  • 超过了多目标粒子群集优化 (MOPSO) 算法.

结论:

  • MOGWO是用于在电力系统中放置多目标TCSC的优质方法.
  • 最佳的TCSC放置可以显著降低电力系统的损失.
  • 调查结果为电力系统公用事业提供了宝贵的见解,以提高性能.