一种非线性未确定方程系统在接地电网腐蚀诊断中的解决方法,基于增强的河马优化算法
Jinhe Chen1, Jianyu Qi1, Yiyang Ao1
1Tianyou College, East China Jiaotong University, Nanchang 330000, China.
Biomimetics (Basel, Switzerland)
|July 25, 2025
概括
本研究介绍了增强生物仿真河马优化 (EBOHO) 算法,用于诊断电力系统中的接地电网腐蚀. EBOHO提供了一种以自然为灵感,高效和精确的解决方案,用于识别老化的基础设施中的腐蚀.
科学领域:
- 电气工程 电气工程
- 计算智能是一种计算智能.
- 优化算法 优化算法
背景情况:
- 由于接地电网腐蚀,老化的电网面临着关键的脆弱性.
- 腐蚀的常规诊断方法是计算密集且不确定的.
- 现有的方法与高维电数据和非线性不确定系统作斗争.
研究的目的:
- 开发一种新的,以自然为灵感的优化算法,用于诊断接地电网腐蚀.
- 为了提高电力系统中腐蚀检测的准确性,稳定性和效率.
- 解决传统诊断方法的局限性.
主要方法:
- 提出了增强生物模拟河马优化 (EBOHO) 算法.
- 结合了三个协同作用的策略:β功能群种植,精英-中等合作食和镜头成像对立.
- 在CEC 2017套件和经典设计问题上对EBOHO与最先进的元heuristics进行比较.
- 通过一项关于接地电网腐蚀的工业案例研究来验证EBOHO.
主要成果:
- 与现有的算法相比,EBOHO展示了优越的全球搜索能力,稳定性和融合速度.
- 该算法有效地解决了与接地电网腐蚀相关的未确定方程.
- 在工业案例研究中,EBOHO精确地确定了腐蚀地点.
结论:
- 增强生物模拟河马优化 (EBOHO) 算法是一种高效的自然灵感工具,用于诊断接地网腐蚀.
- 对于老化的电力系统基础设施,EBOHO提供了一个计算效率高,精确的解决方案.
- 这种算法在提高电网的可靠性和安全性方面显示出显著的前景.
相关概念视频
Fast Decoupled and DC Powerflow
292
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:
292
Routh-Hurwitz Criterion I
334
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
334
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
101
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...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
101
The Power Flow Problem and Solution
341
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...
341
Plotting and Calibrating the Root Locus
183
Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
183
Root-Locus Method
213
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
This system can be represented by a block...
213


