基于深度残差网络的智慧配网电压分区控制策略优化研究

Research on Optimization of Voltage Partition Control Strategy for Smart Distribution Network Based on Deep Residual Network

摘要: 随着分布式发电的广泛接入、负载类型的多样化以及网络拓扑的日益复杂，传统配电网电压控制方法面临诸多挑战。本文提出一种基于深度残差网络(ResNets)的智能配电网新型电压分区控制策略。详细阐述了深度残差网络的架构设计，包括层数、过滤器大小、激活函数等关键参数的选择。通过实验对比，验证了该策略在提升电压控制精度、降低电压波动等方面的显著优势，为智慧配网电压稳定控制提供了有效解决方案。

Abstract: With the widespread access of distributed generation, the diversification of load types, and the increasingly complex network topology, traditional voltage control methods for distribution networks are facing many challenges. This article proposes a novel voltage partitioning control strategy for intelligent distribution networks based on deep residual networks (ResNets). Elaborated on the architecture design of deep residual networks, including the selection of key parameters such as layers, filter size, and activation function. Through experimental comparison, the significant advantages of this strategy in improving voltage control accuracy and reducing voltage fluctuations have been verified, providing an effective solution for voltage stability control in smart distribution networks.