Research On Optimized Dispatching Of User Side Integrated Energy System

Under the background of drastically decreasing fossil resources and increasingly severe environmental pollution,vigorously developing renewable clean energy to replace traditional energy sources is an inevitable choice for sustainable social development.However,new energy is usually intermittent,fluctuant and uncontrollable,which makes it difficult to be consumpted.There are currently two solutions to deal with it:First,establishing an integrated energy system which couples the traditional independent power system,heat system and so on by energy conversion equipment,to achieve synergistic complementarity and unified scheduling by utilizing the source-load characteristics.Second,developing an independent auxiliary service market which enables renewable and other energies,as well as consumers to get collaborative interaction and benefit sharing.Given the above,it is of great significance to study optimal operation strategy of user side integrated energy system in energy market and spinning reserve market.This paper introduce the overall structure of typical user side cold-heat-electric integrated energy system and analyze the operating characteristics of each equipment unit in detail,including CCHP system,distributed new energy,load aggregator,interruptible load,energy storage equipment and main network.On this basis,a scheduling mechanism of each component unit participating in the energy market and reserve market of the user side integrated energy system is established,which lays a foundation for constructing the optimal scheduling model under the dual market.Then,the scheduling framework of the user side integrated energy system considering multi-energy coupling relationship is analyzed.For the uncertainty factors,the scene analysis technique is used to generate the typical operating conditions of the next day and their occurrence probability.Based on which,a day-ahead optimization scheduling model is proposed to draw up the operational plan of each equipment and arrange reserve resources in the next day.The scheduling model is participating in the dual market and with objective function of minimizing the sum of scheduling plan cost and adjustment costs of reserves.Furthermore,based on its characteristics,the scheduling model is transformed into nested double-layer optimization problem according to the master-slave iteration idea and solved it by joint solution algorithm of gravity search algorithm-internal point method.Finally,this paper takes a cold-heat-electric integrated energy system as an example for scheduling.The scheduling results under different operating modes,different reserve prices of main network,different source-load fluctuations and different scheduling strategies are compared and analyzed.They verify that the model proposed can comprehensively consider the source-load fluctuations,prices of electricity from main grid and spinning reserve,and make reasonable use of the coupling characteristics of different energy sources to minimize the expected operating cost of the system under the premise of ensuring the balance between supply and demand.