1.福州大学电气工程与自动化学院,福建 福州 350108;2.国网兰州供电公司,甘肃 兰州 730070;3.福州大学 计算机与大数据学院,福建 福州 350108;4.昆明理工大学电力工程学院,云南 昆明 650500
国家自然科学基金项目资助(52167010)
1. School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China; 2. State Grid Lanzhou Power Supply Company, Lanzhou 730070, China; 3. College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China; 4. Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
郑 峰,苏明鸿,陈 静,等.基于改进模型预测的并网变换器自适应虚拟惯性控制策略研究[J].电力系统保护与控制,2024,52(13):35-46.[ZHENG Feng, SU Minghong, CHEN Jing, et al. An adaptive virtual inertia control strategy for a grid-connected converter based on improved model prediction[J]. Power System Protection and Control,2024,V52(13):35-46]
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