Research on Control Optimization of integrated intelligent energy system based on big data analysis

Inhalt:
With the rapid development of China's integrated energy system, it is very important to provide better integrated energy services for energy supply service providers, enterprise users and government agencies. Therefore, in order to optimize the operation of an integrated intelligent energy system, the relationship model of cooling load, system energy consumption, controllable variables of system equipment and uncontrollable variables of environment is established, and the reliability of the model is calculated, taking the minimum system energy consumption as the optimization objective, the optimal control strategy is solved. The results show that the energy consumption of the system is significantly reduced and the effect of energy saving is achieved.