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相关概念视频

Generator Voltage Control01:21

Generator Voltage Control

602
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, use...
602
Control of Power Flow01:30

Control of Power Flow

651
There are several methods to control power flow in power systems:
651
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

574
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.
574
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

781
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes...
781
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

708
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:
708
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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相关实验视频

Updated: Jan 9, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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一种新的数据驱动的多剂增强学习方法,用于在弱电网支持下控制电压.

Jiaxin Wu1, Ziqi Wang1, Ji Han2

  • 1State Grid Henan Electric Power Company, Zhengzhou 450052, China.

Sensors (Basel, Switzerland)
|December 11, 2025
PubMed
概括

本研究介绍了一种多剂深度强化学习 (MADRL) 方法,用于弱光伏 (PV) 电网中的活性电压控制. 这种方法确保了电压合规性,并减少了网络损失,优于传统方法.

关键词:
屏障的功能是屏障的功能.分布式控制是指分布式的控制.分布式光伏发电系统的使用.分布网络的分销网络,分销网络的分销网络.多代理的深度强化学习学习.

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科学领域:

  • 电气工程 电气工程
  • 人工智能的人工智能
  • 电力系统 电力系统

背景情况:

  • 在高光伏集成的配电网络中,弱电压支持带来了挑战.
  • 活性电压控制对于电网的稳定性和效率至关重要.

研究的目的:

  • 为光伏集群开发基于多代理深度强化学习 (MADRL) 的协调控制.
  • 为了提高弱电网的电压合规性和能源效率.

主要方法:

  • 制定了电压控制作为一个分散的部分可观察的马尔科夫决策过程 (Dec-POMDP).
  • 采用了集中式培训与分散执行 (CTDE) 框架.
  • 设计的屏障功能用于奖励塑造,以平衡电压和效率.

主要成果:

  • 该MADRL框架确保了电压合规性,并减少了网络损失.
  • MADDPG算法实现了91.9%的可控制率 (CR),功耗较低 (0.0695 p.u.). ) 的情况.
  • 与最佳功率流 (OPF) 和垂落控制相比,证明了卓越的性能.

结论:

  • 拟议的MADRL方法有效地提高了电压稳定性和能源效率.
  • 该方法在无模型和通信受限制的弱电网条件下是稳健的.