微电网技术在转底炉系统优化与能源管理策略研究

Research on Microgrid Technology Integration Optimization and Energy Management Strategy in Rotary Harth Furnace System

摘要

针对传统转底炉系统能耗高、碳排放严重的问题，本文提出了基于微电网技术的系统集成优化方案。首先分析了微电网技术的基本原理与架构特点，建立了包含可再生能源发电、储能系统、能源转换装置和智能控制平台的四层架构模型。然后深入研究了转底炉系统的能源特性，通过对2019-2024年相关数据的分析，揭示了系统能耗规律和优化潜力。在此基础上，设计了微电网与转底炉系统的集成方案，提出了基于人工智能的动态能源管理策略，实现了多能源协同与实时调度的优化控制。仿真结果表明，该方案可使系统综合能效提升15.3%，碳排放降低23.7%，年运行成本节约18.5%。研究成果为工业微电网的推广应用提供了重要的理论依据和技术支撑。

Abstract

Aiming at the problems of high energy consumption and serious carbon emissions in traditional rotary hearth furnace systems, this paper proposes a system integration optimization scheme based on microgrid technology. Firstly, the basic principles and architectural characteristics of microgrid technology are analyzed, and a four-layer architecture model including renewable energy generation, energy storage systems, energy conversion devices and intelligent control platforms is established. Then, the energy characteristics of the rotary hearth furnace system are studied in depth, and the system energy consumption patterns and optimization potential are revealed through the analysis of relevant data from 2019 to 2024. On this basis, an integration scheme of microgrid and rotary hearth furnace system is designed, and a dynamic energy management strategy based on artificial intelligence is proposed to realize the optimal control of multi-energy coordination and real-time scheduling. Simulation results show that the scheme can improve the comprehensive energy efficiency of the system by 15.3%, reduce carbon emissions by 23.7%, and save annual operating costs by 18.5%. The research results provide important theoretical basis and technical support for the promotion and application of industrial microgrids.

关键词

微电网 / 转底炉 / 能源管理 / 系统集成 / 优化策略 / 节能减排

Key words

microgrid / rotary hearth furnace / energy management / system integration / optimization strategy / energy conservation and emission reduction

参考文献

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[8] 格局商学苑. 2025年02月10日从传统到创新:L企业在新能源行业中的管理提升实践.

基金资助

国家重点研发计划资助项目(2022YFC3901404)