Energy Optimization of Hybrid Ventilation Operation in Main Transformer Room Based on Kmeans Clustering
This work focuses on the optimization of ventilation operation mode to save energy in the existing ventilation of the main transformer room at the 110kV indoor substation in Zhengzhou city. Based on the optimized layout of hybrid ventilation in our previous study,an operation optimization strategy of temperature gradient for a hybrid ventilation system is proposed. CFD simulation was used to determine the start-stop temperature and interval duration of natural and mechanical ventilation to meet the required safe working temperature of the main transformer room. Kmeans clustering was utilized to group the outdoor dry-bulb temperature from May to October in Zhengzhou. Combined with frequency analysis,the centroids of the clusters were adjusted to optimize the typical days. The energy-saving analysis indicated that with the optimized operation strategy,the annual operating time of mechanical ventilation is reduced from 2400h to 362.7h,achieving an energy-saving rate of approximately 84.9％. And a rate of 47.1％ around compared to ventilation strategies based on outdoor dry bulb temperature. The operation strategy is expected to have reference for the safe and energy-saving operation of substation ventilation systems with regional versatile value.
万方数据
维普
