Research On Optimization Of Operation Strategy In Integrated Energy System And Digital Twin System Of Key Equipment

Integrated Energy System(IES)is an energy system that integrates multiple energy devices to realize the multi-load demand of users.The renewable energy units configured in it reduce the carbon emissions of the energy system and improve the operating energy efficiency ratio and flexibility,but due to the different output characteristics of heterogeneous energy subsystems,it is of great significance to carry out reasonable planning and design,operation optimization and intelligent control of IES.This paper studies the intelligence of IES serving industrial parks from the above three aspects.Aiming at the multi-load forecasting and IES planning of the park,the influence of the historical multi-load data distribution characteristics of a park is analyzed qualitatively from the aspects of seasonality,randomness and social fluctuation.The correlation between time,temperature,humidity,wind speed and radiant intensity and load was quantitatively analyzed using Pearson’s correlation coefficient,and the results showed that the correlation between time factor and load distribution was the highest,which was 0.945,0.992 and 0.809,respectively.The historical data of the influencing factors after data processing and the multivariate load are used as input/output data,and the PSO-DBN composed of three-layer RBM and BP neural networks is trained to predict the distribution of future loads.Through the error evaluation indicators MAPE and Adjusted R Square,it can be seen that the performance of the prediction model is good,and on the basis of the forecast data,Homer is used to plan the capacity level of PIES.In order to optimize the operation strategy of IES by robust optimization method,the output mathematical model of supply/energy storage equipment and its output and the climbing constraints of CHP unit were constructed,and the upper and lower limit sets of output of photovoltaic generator sets were constructed by using box-type uncertain sets.The environmental value of pollutant emission reduction is introduced to construct the environmental cost objective function,and the IES multi-objective optimization model is constructed by coupling the economic operation and equipment operation cost function with the cost function of equipment operation and maintenance.It is transformed into a two-stage robust optimization model in the form of min-max multi-scene.Combined with the case data of a park,the model is used to solve the problem,and the optimal operation strategy of the comprehensive energy system that meets the constraints is obtained.In the research of IES-CFB boiler digital design and operation and maintenance platform construction based on digital twin technology,the sequential design method is used to design and calculate the operating parameters and cyclone structural parameters under the boiler design conditions,and the flow field is simulated by Fluent to obtain the optimal structural scheme,from which it can be seen that when the diameter ratio is 0.35,the separation efficiency is the largest.Using C#to interface with SolidWorks encapsulates the above workflow into software that enables visual design of parameters.In order to realize the functions of CFB boiler virtualization interaction and flow field data visualization,SolidWorks-3Dmax is used to model the virtual subject,SQLite is used as the back-end database,the node simulation data of the internal flow field under different working conditions is stored,and the PCL point cloud model,UGUI and Unity 3D virtual engine are used to build the visual model of the node flow field and the interactive platform for visualization of operation data,so as to initially realize the visual monitoring of the operation status of CFB boiler installation.