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融合遗传算法的电力系统分层信息故障诊断的必要性及措施

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随着电力系统的发展,区域电网建设逐渐成为新时代电力行业重要的发展方向,而因为电网具有单元基数大、类型多的特点,电力系统故障诊断迎来了全新的发展机遇与挑战.现阶段,大部分电力系统故障基数诊断还停留在经验识别、预测的表层,无法适应新时期下电力系统发展的特点,给电力系统持续、稳定发展带来极大的困境.基于此,研究结合完善后的遗传算法对电力系统故障诊断必要性以及相应的方法、措施进行梳理,以解决电力分层系统对故障难以诊断、排除的问题.
The Necessity and Measures of Hierarchical Information Fault Diagnosis in Power Systems Based on Genetic Algorithm Fusion
Influenced by the development trend of the power system,regions have gradually become a hot trend in the development of the new era power grid.Due to the large unit base and multiple types of power grids,power system fault diagnosis has ushered in new development opportunities and challenges.At present,most of the fault base diagnosis in the power system still remains at the surface of empirical identification and prediction,unable to adapt to the characteristics of the development of the power system in the new era,bringing great difficulties to the sustained and stable development of the power system.Based on this,the study combines the improved genetic algorithm to sort out the necessity of power system fault diagnosis and corresponding methods and measures,in order to promote the resolution of difficult to diagnose and eliminate faults in power hierarchical systems.

power systemgenetic algorithmobjective function

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南瑞集团有限公司,江苏南京 211106

电力系统 遗传算法 目标函数

2024

信息与电脑
北京电子控股有限责任公司

信息与电脑

影响因子:1.143
ISSN:1003-9767
年,卷(期):2024.36(2)
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