Track 2: Power Electronics Topologies, Control Strategies, and Artificial Intelligence Applications in Offshore Wind Power Scenarios 海上风电场景中的电力电子拓扑、控制策略与人工智能应用控制
Organizers / 组织者
School of Electrical Engineering, Guangxi University
广西大学电气工程学院
School of Shipping and Maritime Studies, Guangzhou Maritime University
广州航海学院船舶与海洋工程学院
School of Electronic and Information Engineering, Guangdong Ocean University
广东海洋大学电子与信息工程学院
Abstract / 摘要
English: This track will focus on groundbreaking innovations in power electronics for deep-sea wind power applications, exploring how advancements in power conversion topologies and intelligent control strategies address complex operational challenges. As offshore wind power expands into deeper waters, the deep integration of high-reliability power conversion systems and AI algorithms has emerged as a vital pathway to enhance overall energy efficiency and ensure grid reliability. In cutting-edge fields such as floating turbine clusters and dynamic grid interactions, novel multi-level topologies and resonant conversion technologies are synergizing with machine learning-driven control methods. AI-enabled fault prediction systems and intelligent dispatch strategies not only improve system resilience in extreme environments but also unlock new approaches for sustainable optimization. This session will systematically analyze the symbiotic relationship between power electronics innovation and deep-sea wind power development, showcasing the technical interplay of topological breakthroughs, intelligent control advancements, and offshore wind system optimization. These advancements provide critical technical foundations for smart grid development and carbon neutrality goals.
中文: 本专题将聚焦深海风电应用中的电力电子突破性创新,探讨功率变换拓扑和智能控制策略的进步如何应对复杂的运行挑战。随着海上风电向深水区扩展,高可靠性电能变换系统与人工智能算法的深度融合已成为提升整体能效和保障电网可靠性的重要途径。在漂浮式机组集群、动态电网交互等前沿领域,新型多电平拓扑和谐振变换技术正与机器学习驱动的控制方法产生协同效应。基于AI的故障预测系统和智能调度策略不仅提升了极端环境下的系统韧性,更为可持续优化开辟了新路径。本专题将系统分析电力电子创新与深海风电发展的共生关系,展示拓扑突破、智能控制进步与海上风电系统优化的技术联动,这些进展为智能电网建设和碳中和目标提供了关键技术支撑。
Technical Scope / 技术范畴
Power Conversion Topologies / 功率变换拓扑
- Novel topology design and analysis / 新型拓扑设计与分析
- Performance optimization under extreme conditions / 极端工况下的性能优化
- Topologies for floating turbines with HVDC / 漂浮式风机高压直流并网拓扑
- Multi-level topologies for hybrid systems / 混合系统(风电+储能/氢能)多电平拓扑
AI-Driven Control / 人工智能驱动控制
- AI-based control strategies / 基于AI的智能控制策略
- Fault diagnosis and predictive maintenance / 故障诊断与预测性维护
- AI-optimized aerodynamic control / AI优化的气动/水动力控制
- Digital twin frameworks / 数字孪生与智能运维框架
Core Technologies / 核心技术
- HVDC transmission systems / 高压直流输电系统
- Subsea cable reliability / 海底电缆可靠性
- Wind-wave-solar microgrids / 风-浪-光混合微电网
- Lifecycle sustainability assessment / 全生命周期可持续性评估
Topics of Interest / 征稿主题
- Adaptive topologies for deep-sea conditions / 深海复杂工况自适应拓扑
- AI in power electronics control / 电力电子控制中的AI集成
- System-level AI deployment / 海上风电系统级AI应用
- Reliability enhancement strategies / 海洋能源转换系统可靠性提升