Chair / 主席:
Yuanyuan Sun, Professor, Shandong University
孙媛媛，山东大学教授

With the accelerated construction of the new power system, the integration of high-proportion renewable energy, and power electronic equipment has led to new characteristics in power quality issues, such as multi-source coupling, dynamic evolution, and cross-domain propagation. Traditional methods based solely on mechanism-driven or data-driven approaches are no longer sufficient to address complex scenarios. In contrast, data-mechanism hybrid-driven technology, by integrating physical laws with data intelligence, has become a key path to solve problems such as renewable energy absorption and coordinated control of distributed energy. Against this backdrop, there is an urgent need to conduct a series of studies on power quality in the new power system, including modeling, evaluation, prediction, and governance, aiming to promote the in-depth integration of theoretical innovation and engineering practice.

随着新型电力系统加速构建，高比例可再生能源及电力电子设备的接入使电能质量问题呈现多源耦合、动态演变、跨域传播等新特征。传统仅基于机理或数据驱动的方法已难以应对复杂场景，而数据-机理混合驱动技术通过融合物理规律与数据智能，成为破解新能源消纳、分布式能源协同控制等难题的关键路径。在此背景下，亟需对新型电力系统的电能质量开展建模、评估、预测与治理等一系列研究，旨在推动理论创新与工程实践的深度融合。

1. Digital modeling of power electronics devices / 电力电子设备数字建模
2. Data-mechanism hybrid-driven analysis / 数据-机理混合驱动分析
3. Intelligent prediction of power quality / 电能质量智能预测
4. Coordinated control and governance of power quality / 电能质量协同控制与治理

• Shun Tao, Associate Professor, North China Electric Power University / 陶顺，华北电力大学副教授
• Zhong Xu, Senior Engineer, Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd. / 许中，广东电网有限责任公司广州供电局高工
• Yi Zhang, Associate Professor, Fuzhou University / 张逸，福州大学副教授
• Bo Gao, Associate Professor, East China Jiaotong University / 高波，华东交通大学副教授
• Xiangmin Xie, Associate Professor, Qingdao University / 谢香敏，青岛大学副教授
• Tong Ding, Lecturer, Anhui University / 丁同，安徽大学讲师