A Partition Optimization Design Method For A Regional Integrated E Nergy System Based On Clustering Algorithm

With the rapid economic and social development and the steady improvement of people’s living standards,China is paying more and more attention to the green sustainability of development.As a big energy consumer,improving energy efficiency,and optimizing energy consumption structure,are important link in the current development of China.The regional Integrated Energy System(IES),as a new energy supply model,can achieve energy supply and demand balance in a certain region.The IES can integrate a variety of renewable energy,improve the consumption rate of renewable energy,and realize green energy supply.And the system has a variety of energy supply structure and flexible energy supply mode,which can effectively realize the cascade utilization of energy and achieve the effect of energy saving and emission reduction.However,IES contains multiple types of energy loads,the coupling between loads is complex,and the system design is difficult to be solved urgently.Aiming at the regional integrated energy system composed of complex loads,a partition optimization design method based on clustering algorithm and genetic algorithm is proposed in this paper.Firstly,a multi-energy unified clustering model based on K-means algorithm is established in this paper.The model slices and recombines the electrical,heat,cooling and gas load data of different buildings into multi-dimensional vectors.Furthermore,multiple data clusters are obtained by clustering,thus realizing building partition.By analyzing the data characteristics in the clusters,such as heat to power ratio,time variation characteristics and load synchronization and complementarity,the energy consumption habits in different partitions are summarized.At the same time,resource side data are clustered to evaluate the available value of various types of energy.Unified analysis of energy available value and load characteristics,through the formulation of unified evaluation standards,the selection of appropriate energy supply equipment.On the premise of satisfying the energy supply,the equipment is formed into alternative structure set.Then,the energy balance relationship between regional IES and traditional distribution system is analyzed in detail.The energy coupling relationship of the system is expounded.The full working mode model of internal combustion generator set,absorption refrigerator and other equipment mathematical models are established.The optimization evaluation indexes based on energy,economy and environment were put forward,and several optimization variables were selected to establish the optimization model of system capacity allocation under full working conditions.In this paper,genetic algorithm is used to solve the optimal configuration model,and for each building partition,all structures in the alternative structure set are traversed.The linear weighted method was used to sort the evaluation indexes of the system,and the optimal energy supply structure and capacity parameter configuration suitable for each building partition were obtained.Finally,a case study is conducted to verify the effectiveness of the proposed method.A suitable energy supply system is designed for each building partition,and the energy supply effect is significantly improved compared with the sub-supply system.At the same time,this method has a certain guiding significance to the energy supply design of a single type building in the region.