储能电站电气设备运维与故障检修研究

Research on the Operation&Maintenance and Troubleshooting Overhaul of Electrical Equipment in Energy Storage Power Station

随着储能电站的不断发展和完善,电气设计和运维需求也在不断增加。全方位保护电气设备的正常运行,维护其良好的运行环境,已经成为促进储能电站稳定运行的主要任务之一。文章基于储能电站的电气设备运行实际需求,区分10类可供监测的环境观测变量,区分4类不同水平的故障风险,构建预测模型并进行求解。文章所使用算法为精细树,且设置经贝叶斯优化的精细树模型用于求解。模型结果验证,模型能够准确预测故障,但在轻微故障中的预测能力仍显著不足。

With the continuous development and improvement of energy storage power stations,the demand for electrical design and operation&maintenance is also increasing.All-round protection of the normal operation of electrical equipment and maintenance of its good operating environment has become one of the main tasks to promote the stable operation of energy storage power stations.Based on the actual operation requirements of the electrical equipment of the energy storage power station,this paper distinguishes 10 types of environmental observation variables that can be monitored and 4 types of fault risks at different levels,builds a prediction model and solves it.The algorithm used in this paper is fine tree,and a fine tree model optimized by Bayes is set for solving.The model results show that the model can predict accurately the faults,but the prediction ability of minor faults is still insufficient significantly.