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相关概念视频

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
Multimachine Stability01:25

Multimachine Stability

532
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:
532
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...
1.1K
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
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

261
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
261
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

2.8K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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相关实验视频

Updated: Jan 8, 2026

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

983

在源负载不确定性下的电力系统规划的多代理游戏理论强大的优化.

Jinliang Mi1, Min Xu2, Juan An1

  • 1Economic and Technological Research Institute of State Grid Qinghai Electric Power Company, Xining, China.

Scientific reports
|December 19, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的电力系统规划游戏理论模型,考虑利益相关者的目标和不确定性. 它表明,强有力的规划加速了煤炭淘汰,并促进了储存投资,提高了电网稳定性.

关键词:
电力系统规划 电力系统规划多个代理的游戏理论.可再生能源的整合是可再生的强大的优化优化.源负载不确定性利益相关者互动 利益相关者互动

更多相关视频

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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相关实验视频

Last Updated: Jan 8, 2026

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

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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科学领域:

  • 电力系统工程 电力系统工程
  • 游戏理论 游戏理论
  • 优化优化 优化优化

背景情况:

  • 随着可再生能源的增加和需求波动的增加,需要考虑不确定性的电力系统规划.
  • 传统的规划忽视了各种利益相关者的目标和互动,影响了可行性和成本效益.
  • 集中式规划模型未能捕捉到电力行业多个独立参与者的复杂动态.

研究的目的:

  • 开发一个新的多代理游戏理论框架,用于在不确定性下规划电力系统.
  • 将利益相关者的战略和强大的优化整合到一个层次化的游戏模式中.
  • 分析监管信号和市场反应对规划结果的影响.

主要方法:

  • 一个多代理游戏理论框架,将权力规划概念化为一个等级游戏.
  • 整合强大的优化,以解决可再生能源发电和负载需求的不确定性.
  • 建模监管机构,电网运营商,可再生能源生产商和大型负载用户的战略互动.

主要成果:

  • 稳健的平衡加速了煤炭退役 (15-20%) 并增加了储存投资 (30-40%).
  • 负载服务实体通过重塑需求来降低价格波动,将尾部事件价格降低20-25%.
  • 碳罚款导致显著的减排 (45-55%) 与有限的缺口风险 (<2GW).

结论:

  • 电力规划应该重新定义为一个多代理游戏,而不是一个集中优化问题.
  • 嵌入在战略平衡中的强有力的优化减轻了物理缺口和经济波动.
  • 该框架强调了监管信号和基于市场的利益相关者反应之间的关键相互作用.