English: This track focuses on transformative advances in power electronics, power quality optimization, and intelligent energy storage technologies for renewable energy integrated power systems. With the rapid deployment of photovoltaic, wind, and hydrogen-based generation, high-performance power conversion systems combined with intelligent control algorithms have become essential for improving energy efficiency, power quality, and grid resilience. Key topics include intelligent converter topologies, multilevel inverter architectures, and high-frequency power conversion systems. Recent advances increasingly combine novel converter designs with AI-driven and model predictive control methods. Particular emphasis is placed on power quality challenges under high penetration of distributed energy resources, including harmonic suppression, voltage regulation, and reactive power compensation. Grid code compliance and the stable interconnection of large-scale renewables with transmission and distribution networks are also central concerns. Intelligent energy storage technologies encompass battery management systems, supercapacitors, and hybrid storage architectures, along with coordinated control strategies for microgrids and integrated energy systems. AI-enabled fault diagnosis, digital twin-based simulation, and data-driven optimization are reshaping how power electronic systems are designed, monitored, and operated—improving resilience across diverse and demanding grid conditions. The advances presented here—spanning topological breakthroughs, intelligent control, and storage technologies—collectively provide critical technical foundations for smart grid development and the pursuit of carbon neutrality goals.

中文: 本专题聚焦于面向可再生能源并网电力系统的电力电子、电能质量优化以及智能储能技术的前沿发展。随着光伏、风电及氢能发电的快速规模化部署，高性能电能变换系统与智能控制算法的融合已成为提升能源效率、保障电能质量以及增强电网韧性的关键技术途径。专题重点涵盖智能变换器拓扑、多电平逆变器结构以及高频电力变换系统等方向。近年来，新型变换器设计正不断与人工智能驱动控制及模型预测控制方法深度融合。专题特别关注高比例分布式能源接入条件下的电能质量问题，包括谐波抑制、电压调节以及无功功率补偿。同时，大规模可再生能源与输配电网络稳定并网以及电网规范（Grid Code）符合性也是本专题的重要研究内容。智能储能技术方面，涵盖电池管理系统、超级电容器以及混合储能结构，并包括微电网与综合能源系统的协同控制策略。人工智能赋能的故障诊断、基于数字孪生的仿真以及数据驱动优化方法，正在重塑电力电子系统的设计、监测与运行方式，从而提升其在复杂多变电网环境下的运行韧性。本专题所展示的研究成果涵盖拓扑创新、智能控制以及储能技术等多个方面，共同为智能电网发展及“双碳”目标实现提供重要技术支撑。