| As global energy scarcity and environmental pollution become increasingly prominent,the transformation of energy structure with the goal of saving primary energy and reducing carbon emissions is taking place,and the link between the energy supply side and the demand side is getting closer and closer.The regional integrated energy system can effectively consider the balance of supply and demand,the complementary and transforming roles of multiple types of loads such as heating,cooling and electricity.In the planning stage of regional integrated energy system,through the coordination of energy supply areas of different energy stations,the peak-to-valley load difference within the energy supply area of energy stations can be reduced,and the energy supply area zoning will be associated with the layout planning of pipeline network,which in turn will affect the economics of pipeline network.There is a close connection between energy station siting,energy supply area zoning and pipe network layout planning,however,in the past,the siting of energy stations and pipe network layout planning were relatively fragmented,and in recent years,some synergistic planning of stations and networks has started in the electric power field,but further research is needed for the utilization of complementary characteristics of building loads,modeling and solution methods of cooling and heating pipe networks.In view of the above energy background and research deficiencies,this paper investigates the site selection of energy stations,the division of energy supply range,and the layout optimization of cooling and heating pipeline networks based on the regional integrated energy system.In this paper,the integrated load considering different types of loads of cooling,heating and electricity is used as the weight,the kernel density method is used to analyze the spatial distribution and aggregation of regional loads,the spatial distance of loads and the load characteristics of different types of buildings are considered comprehensively,and the 0-1 dynamic planning method is used to optimize the energy supply range of energy stations with the objective of minimizing the fluctuation rate of integrated loads;on this basis,a method based on graph theory is used to consider the building types,the On the basis of this,the model is constructed by considering factors such as building type,path possibility,path distance cost,load amount,load dynamic superposition,etc.The parameters related to the hydraulic calculation with the change of flow in the pipe section are considered in detail in the setting of the optimization target,and the final optimization target is the minimum annual commutation cost coupled with each parameter,which is solved by the improved Prim minimum spanning tree algorithm to obtain the pipe network layout and finally realize the regional integrated energy system station-network cooperative siting layout.The results of the case study show that the station-grid cooperative siting planning proposed in this paper can reduce the initial investment and annual operating cost by3.30% and 5.16%,respectively,and reduce the annual commutation cost by 4.38% in general.Compared with the method of dividing the energy supply range of energy stations without considering the complementary characteristics of loads,the strategy proposed in this paper can make the load fluctuation rate of each energy station more balanced and avoid the situation of excessive fluctuation rate,and the value of the energy station with the largest load fluctuation rate is reduced by about 13.48%.Compared with the traditional Prim algorithm which aims at the shortest total pipeline length,the improved Prim algorithm which considers the flow variation yields a pipeline network layout result of 5.73%reduction in annual commutation cost although the total pipeline length increases by12.18%,and the total pressure loss drop of the pipeline network layout decreases by about19.86%,and the distance from the most unfavorable users of the four energy stations to the energy stations decreases by 26.68% on average.The optimization results contribute to the hydraulic balance and avoid excessive length of the most unfavorable loops. |
