Research On Multi-Time-Scale Coordinated Optimal Scheduling Of Integrated Energy System Considering Integrated Demand Response

With the energy shortage and environmental pollution,the integrated energy system(IES)for energy sustainability have emerged.IES package electric energy supply,natural gas supply,cold(hot)energy supply and so on,is a complex system that integrates many energy supplies.Based on the conversion and complementary relationship between various energy sources,IES organically coordinates and optimizes the production,transmission,transition,reserve and consumption of energy in the system based on the interrelationship and complementarity between energy sources to achieve economic,secure and flexible supply effects.The content and results of the study are as follows:First of all,the structural framework and the functions of the IES are set out,the principle of energy production and the operation characteristics of different types of microsources are analyzed,and the mathematical model of microsources is established.Then the uncertainties of wind energy and photovoltaic power generation are analyzed on the basis of scenario analysis and introduced in two aspects of scenario generation and scenario reduction.Scene generation uses latin hypercube sampling to generate a large number of wind power / photovoltaic output scenes.Scene reduction is a scene composed of several groups of typical scenes by screening a large number of obtained samples,and explains how to improve the k-means clustering algorithm to complete the process of scene reduction.Based on the historical data of a region’s scenery,the above method is used to depict the uncertainty of the scenery output.Secondly,aiming at the operation problem of low-carbon economy in integrated energy system,an optimal operation strategy of IES day-ahead considering integrated demand response(IDR)and step-by-step carbon trading mechanism is proposed.Aiming at the optimization of system operation cost,environmental governance cost and power fluctuation cost,a multi-objective optimal scheduling model is constructed.In order to explore the low-carbon characteristics,comprehensive demand response characteristics and energy efficiency of IES,different schemes are compared.At the same time,the scenarios of carbon capture and power-to-gas(P2G)are analyzed,and finally the CPLEX solver is called to solve the optimization model.The results of numerical examples show that IDR and carbon trading mechanism can effectively guide IES to improve the energy efficiency of the system,improve the utilization rate of key equipment,and reduce operating costs,which verifies the effectiveness of the proposed model and algorithm.Thirdly,combined with the organic rankine cycle(ORC)and load demand response characteristics,a multi-time-scale optimal scheduling strategy for integrated energy system considering source-load flexible double response operation mode and new carbon reduction mechanism is proposed.Through the intra-day optimization to modify the day-ahead plan,the output plan which is more in line with the actual operation is obtained.First of all,combined with the above chapters,the load demand response characteristic model is constructed,and the ORC model is introduced to construct the source-load flexible double response operation strategy model.Secondly,a new carbon capture operation mode based on the combination of new energy and carbon capture is proposed to guide new energy to participate in the operation of carbon capture equipment,reduce the carbon emissions of the system,improve the level of renewable energy consumption,and based on the model predictive control(MPC)optimization control algorithm to solve the model.The results show that the strategy gives full play to the operation advantages of each equipment on the basis of both economy and robustness,and the effectiveness of the proposed model and algorithm is verified by a case study.Finally,a summary of the research work done in this paper is presented,which can provide a comprehensive solution for the planning and demand-side management of integrated energy systems,thus reducing system operating costs and improving the reliability of energy supply.