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Updated: Jul 29, 2025

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

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开发基于载体加权平均值 (INFO) 优化器的战略,以获得最佳的功率流,考虑到可再生能源发电的不确定性

Mohamed Farhat1, Salah Kamel2, Ahmed M Atallah1

  • 1Electrical Power and Machines Engineering Department, Faculty of Engineering, Ain Shams University, Cairo, 11517 Egypt.

Neural computing & applications
|May 26, 2023
PubMed
概括

本研究引入了一种用于优化可再生能源 (RES) 电网中的电力流量的新方法. 矢量的加权平均值 (INFO) 算法有效地降低了风能,太阳能和水电整合的成本并加快了计算速度.

关键词:
在INFO算法中,我们使用了INFO算法.最佳的功率流量是最佳的.可再生能源是可再生的能源.不确定性建模不确定性建模

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Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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:
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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.
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The Power Flow Problem and Solution

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Load-frequency control01:28

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Multimachine Stability01:25

Multimachine Stability

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