Gaoya dianqi构网型虚拟同步发电机（GFVSG）可以为电网提供主动支撑，但存在有功频率响应慢和频率抗扰动能力差的问题。文中借助GFVSG参数灵活可调的优势，提出一种基于神经网络的GFVSG多参数协同自适应优化控制策略。首先，建立数学模型，解析转动惯量与阻尼系数对系统的动态影响机理，其次，结合同步发电机功角特性与频率振荡曲线，归纳出参数的动态整定准则与实时需求；最后，引入强非线性映射能力的RBF神经网络，构建参数自整定框架，设计复合误差函数，引入动态耦合系数，实现多参数协同自适应优化控制。仿真结果表明 ...
王旭, 贾彦, 郭强, 郭名洋
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高压直流输电系统中次同步振荡研究综述 Studies of Sub-Synchronous Oscillation in HVDC System
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