水电站变压器冷却系统智能调控与能效提升技术研究

Research on Intelligent Control and Energy Efficiency Improvement Technology of Transformer Cooling System in Hydropower Station

摘要

水电站变压器冷却系统是保障电力输送安全的关键，其传统调控方式存在能效低下、过度冷却与响应滞后问题，本研究旨在开发一种智能调控技术以显著提升该系统能效，为此先分析冷却系统运行特性与能耗瓶颈，进而设计融合变压器负载、油温及环境温度的多参数智能调控策略，并构建相应系统架构与热路模型进行仿真验证。结果表明，此智能调控方法能在保证变压器运行温度稳定的前提下，有效匹配冷却容量与实时热负荷，显著降低系统综合能耗，为水电站节能运行提供可行技术方案。

Abstract

The transformer cooling system in hydropower stations is critical for ensuring safe power transmission. Traditional control methods suffer from low energy efficiency, overcooling, and delayed response. This study aims to develop an intelligent control technology to significantly improve system efficiency. First, we analyze the operational characteristics and energy consumption bottlenecks of the cooling system. Then, we design a multi-parameter intelligent control strategy that integrates transformer load, oil temperature, and ambient temperature. The corresponding system architecture and thermal path model are constructed for simulation verification. Results demonstrate that this intelligent control method effectively matches cooling capacity with real-time thermal load while maintaining stable transformer operating temperatures, significantly reducing overall system energy consumption. This provides a feasible technical solution for energy-efficient operation in hydropower stations.

关键词

水电站变压器 / 冷却系统 / 智能调控 / 能效提升 / 热路模型

Key words

transformer of hydropower station / cooling system / intelligent regulation / energy efficiency improvement / thermal circuit model

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