To solve the problem of impedance mismatch in a DC microgrid system, a stability discrimination method for DC microgrid based on convolutional neural network (CNN) and long short-term memory (LSTM) network is proposed. First, a CNN-LSTM composite network model is constructed, and the basic structure and principle of the proposed method are expounded. Second, a simulation model of the DC microgrid system is built in MATLAB/Simulink, and a case study is carried out to describe the implementation process of the proposed algorithm in detail. Finally, the performance of the proposed method was compared with those of the artificial neural network (ANN), CNN and LSTM models, and the experimental verification was carried out on a hardware-in-the-loop simulation test platform. Experimental results show that the proposed method can automatically extract features and achieve fast and accurate stability discrimination of the DC microgrid system.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |