Research On Day Ahead Scheduling Of Integrated Energy System Based On Fuzzy Chance Constrained Programming

The integrated energy system plays a significant role in reducing fossil energy dependence and promoting the development and utilization of renewable energy.This kind of energy system is coupled with multiple types of energy and has many energy supply links.It is particularly critical to rationally plan various types of energy and coordinate the operation of various types of equipment to improve the efficiency of the integrated energy system.In this paper,the distributed energy system,renewable energy power generation unit and related auxiliary equipment are aggregated into energy nodes,and the integrated energy system based on energy nodes is constructed.The full text of the study is as follows:(1)Basic overview of energy system and integrated scheme design.Based on the analysis of the advantages and disadvantages of the distributed energy system,this paper combines the two types of models of joint supply microgrid and distributed power generation cluster to aggregate the distributed energy system,renewable energy power generation unit and related auxiliary equipment into energy nodes to This builds a integrated energy system scheduling plan.Energy nodes can be divided into two categories:autonomous and non-autonomous.The nodes are interconnected in a clustered manner,and the scheduling center exchanges scheduling information and controls the level of energy interaction.(2)Internal equipment modeling of integrated energy system.Based on the integrated solution of energy node,this paper sorts out new energy power generation equipment(photovoltaic cells,wind turbines),combined heat and power units(micro gas turbines,absorption chillers,electric chillers),gas boilers,Mathematical models of energy storage devices(storage batteries,heat storage tanks)and electricity-to-gas equipment provide technical support for the following text.(3)Integrated energy system load forecasting strategy.Considering that the energy node load has horizontal and vertical periodicity,volatility,and historical correlation this paper designs a multi-model fusion power load prediction model based on Blending integrated learning,and uses Swiss power load open source data provided by European ENTSO to simulate the model.The results of the calculation examples show that the Blending integrated learning model has higher prediction accuracy than the previous model and is more sensitive to load fluctuations,which provides a new idea for load forecasting in the day ahead scheduling.(4)Research on the day ahead scheduling of integrated energy systems.Based on fuzzy chance-constrained programming theory,this paper builds the integrated energy system day ahead scheduling model that takes into account the uncertainty of the output of renewable energy power generation equipment.In this model,the optimal scheduling economy is the main objective function,and the lowest external power supply rate is the secondary objective function.The GUROBI solver is used to solve the previous scheduling model.The results of the calculation example show that the day ahead scheduling model can effectively improve the overall operating economy on the basis of taking into account energy self-sufficiency.