基于数字孪生技术在发电行业应急调度方向应用研究

Application research based on digital twin technology in the direction of emergency dispatching in power generation industry

随着电力行业技术的快速发展,更多的发电形式出现在了我们的日常生活中。由于传统的调控措施已经无法满足现有的发电行业,研究将数字孪生技术应用到发电行业中,利用数字孪生技术中的多级仿真构建模型,对发电机变压器的温度、损耗进行分析。经过模拟实验,模型方法分别比传统方法低2.85 MVA和2.51 MVA。同时在主变压器和备用变压器热寿命损失中,模型方法分别比传统方法提升了72 min和44 min;在主变压器和备用变压器的综合负载损耗中,模型方法分别比传统方法降低了312 kW·h和139 kW·h。结果表明模型方法对变压器的温度、热寿命和综合负载损耗都具有较高的计算准确率,同时还能根据实际情况降低部分能耗,从而降低实际的运行成本,验证了模型方法具有较高的应用价值。

With the rapid development of technology in the power industry,more forms of power generation are appearing in our daily life.As the traditional regulation measures can no longer meet the existing power generation industry,the study applies the digital twin technology to the power generation industry and uses the multi-level simulation in digital twin technology to construct a model to analyze the temperature and loss of generator transformers.After simulation experiments,the model method is 2.85 MVA and 2.51 MVA lower than the traditional method,and the model method improves the thermal life loss of main transformer and standby transformer by 72 min and 44 min,respectively,and reduces the combined load loss of main transformer and standby transformer by 312 kW-h and 139 kW-h,respectively,compared with the traditional method.The results show that the model method has high accuracy in calculating the temperature,thermal life and integrated load loss of the transformer,and also can reduce some energy consumption according to the actual situation,thus reducing the actual operating cost,which verifies the high application value of the model method.