Abstract At present, the traditional islanded microgrid is changing to a cyber-physical system. And the data in its cyber layer is often used to solve practical problems in the physical layer through sensors and communicators. But the use of communication data also brings a lot of problems. Among them, the upload interruption problem (i.e., communicator or sensor failure) will make a heavy impact on the system. To improve the voltage and frequency stability of microgrid through secondary control considering data uploading interruption, an improved growing and pruning-radial basis function neural network-based secondary control strategy is designed in this study. The main designs can be summarized as below: (1) When the communicator cannot receive data, a prediction compensation part is designed directly in the corresponding communicator, i.e., the predicted data is used to complete the follow-up works; (2) When the sensor cannot send data, a nonlinear cyber-physical vulnerability assessment part and a neighbor transmission part are designed. In this way, a neighbor sensor is selected to send the interrupted data for the follow-up control process; (3) Based on these designs above, a novel secondary control is designed for microgrid. Finally, the simulation results show the effectiveness of the proposed strategy.

中文翻译：

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一种考虑数据上传中断问题的基于IGAP-RBFNN的孤岛微网-网络物理系统二次控制策略

摘要 目前，传统的孤岛微电网正在向信息物理系统转变。并且其网络层的数据通常用于通过传感器和通信器解决物理层的实际问题。但是通信数据的使用也带来了很多问题。其中，上传中断问题（即通讯器或传感器故障）会对系统造成较大影响。为了通过考虑数据上传中断的二次控制来提高微电网电压和频率的稳定性，本研究设计了一种改进的生长剪枝-径向基函数神经网络二次控制策略。主要设计可归纳如下： (1) 当通信器无法接收数据时，直接在相应的通信器中设计预测补偿部分，即：预测数据用于完成后续工作；(2)当传感器不能发送数据时，设计了非线性信息物理脆弱性评估部分和邻居传输部分。这样就选择了一个相邻的传感器发送中断的数据用于后续的控制过程；(3) 基于上述设计，设计了一种新型的微电网二次控制。最后，仿真结果表明了所提出策略的有效性。为微电网设计了一种新颖的二次控制。最后，仿真结果表明了所提出策略的有效性。为微电网设计了一种新颖的二次控制。最后，仿真结果表明了所提出策略的有效性。