人工智能算法在变电站电力调度系统优化中的应用分析  

Analysis on the Application of Artificial Intelligence Algorithms in the Optimization of Substation Power Dispatching Systems

作　　者：巩拓 韩波 Gong Tuo;Han Bo(Dongfang Electronics Co.,Ltd.,Yantai,Shandong,China,264000)

机构地区：[1]东方电子股份有限公司,山东烟台264000

出　　处：《仪器仪表用户》2025年第1期96-98,共3页Instrumentation

摘　　要：在现代电力系统中变电站扮演着至关重要的角色,它们负责电能的传输、分配以及转换,确保电力供应的稳定性和可靠性。人工智能(AI)算法,凭借其强大的数据处理能力和自学习能力,提供了一种新的解决方案。神经网络、遗传算法和深度学习等AI技术已被证明在负荷预测、故障检测和故障诊断等方面具有显著的应用潜力,为电力调度系统的优化带来了新的视角。本文深入探讨了人工智能算法在变电站电力调度系统优化中的应用,包括神经网络、遗传算法和深度学习等AI技术在负荷预测、故障检测及诊断等关键领域的具体应用场景,以及技术如何帮助提升电力调度系统的效率和可靠性。Substations play a crucial role in modern power systems,responsible for the transmission,distribution,and conversion of electrical energy to ensure the stability and reliability of power supply.Artificial intelligence(AI)algorithms,with their powerful data processing and self-learning capabilities,provide a new solution.AI technologies such as neural networks,genetic algorithms,and deep learning have proven to have significant application potential in areas such as load forecasting,fault detection,and fault diagnosis,bringing new perspectives to the optimization of power dispatch systems.This article delves into the application of AI algorithms in optimizing substation power dispatch systems,including the specific application scenarios of AI technologies such as neural networks,genetic algorithms,and deep learning in key areas such as load forecasting,fault detection,and diagnosis,as well as how these technologies help enhance the efficiency and reliability of power dispatch systems.

关 键 词：人工智能 变电站 电力调度 系统优化 

分 类 号：TM63[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]