Research On Optimization And Application Of Regional Comprehensive Energy System From Source To Load

As a multi-energy combined operation system,a regional integrated energy system is not a simple superposition of multiple energy sources,but a method of complementary replacement and other methods.According to the characteristics of different energy sources,unified supply and scheduling are implemented to achieve synergy of multiple energy systems.Optimize,reduce losses in the energy transmission process,and improve environmental and social benefits.This paper takes renewable energy as the main research object and includes a variety of energy forms in the regional energy system.Aiming at the characteristics of energy storage,time-of-use electricity price,cold,heat,and combined electricity,etc.,the analytic hierarchy process and the distance solution of pros and cons are used.Carry out research on system optimization design,research on system optimization operation through load forecasting,optimization scheduling model,etc.,in order to improve energy usage and achieve efficient,economical and stable operation of regional energy systems.Firstly,based on the correlation analysis method and cluster analysis method to find the influencing factors of the cooling season's mid-and short-term load forecasting,the daily average heat load forecasting model,the hourly heat load forecasting model,and the daily average cooling load forecasting model are constructed by using autoregressive various historical models.The model and the hourly cooling load forecasting model predict the cooling and heating load.The average absolute percentage error of the daily average heating load prediction is 8.4%,and the average absolute percentage error of the daily average cooling load prediction is 11.4%.Secondly,based on the principle of constructing an evaluation index system,an evaluation index system was constructed from three aspects: economic,environmental protection,and technical.Through the analytic hierarchy process(AHP),a judgment matrix model of eight specific evaluation indicators in three aspects is established,and the weight of each indicator in the evaluation system is obtained.For the first time,a combined qualitative,quantitative,subjective and objective evaluation matrix model was constructed using the combined AHP and TOPSIS method in a regional integrated energy system,and a combination of dynamic load rate and AHP was used for multi-objective modelling design optimization.Then,in view of the current actual operation regulation,the coupling efficiency of various energy systems is low,and the supply and demand are not matched.A joint operation efficiency model is constructed.Based on the idea of matching the energy supply equipment capacity with the load demand,the goal is to minimize the total daily operating cost The function builds the system's optimized operation model.The results show that,under the cooling conditions,turning on the tri-generation system while generating part of the cooling capacity and generating power generation income,presents obvious economic advantages,and the billing rate reaches 63.6%.Under the heating conditions,after the introduction of the municipal heating network,the economy of the electricity price period is usually better during the heating period,and the charge rate reaches 71.6%.Finally,in response to the problem that the optimization strategy model cannot effectively guide energy operation units to save energy and reduce costs,a comprehensive energy operation scheduling platform is established,an energy monitoring and collection system is established,real-time energy monitoring and display is implemented,and data collection is deployed in a hierarchical and classified manner Module,establish a monitoring platform for regional cold,heat,and transmission and distribution equipment,perform multi-dimensional data analysis through the established optimization model,optimize the regional integrated energy system,improve energy usage,and experimentally expand the optimization model.It is applied to the dispatching operation of civil heating systems,which reduces the average unit energy consumption by 13.7%.