Research On Integrated Energy Storage Optimal Dispatch Of Multi-energy System Considering Uncertainty

Due to the inherent uncertainty of renewable energy and load,it will bring great impact to the operation of multi-energy system.On the other hand,the charging and discharging capacity of the battery is small,the life is short and the investment cost is high,which limits the economy and flexibility of its application in multi-energy system.In view of the above problem,this paper build a by wind power,photovoltaic units and multiple energy storage device is composed of multiple energy system,on the basis of considering the uncertainty of the output and load of renewable energy,the three networks of the electricity,heat and gas network in the multi-energy system and the coordination of the comprehensive energy storage device are used to improve the energy efficiency and make the scheduling of the multi-energy system more flexible.From the perspective of energy saving and emission reduction as well as improving the economic benefits of the system,this paper studies the robust optimization scheduling method for multi-energy system multiple energy storage considering uncertainty.The main work is as follows:(1)The multiple energy storage is introduced into the multi-energy system to establish the multi-energy system structure.The multiple energy storage mainly includes gas turbine,electric boiler,P2 G,fuel cell,heat storage device,hydrogen storage device and gas storage device.The working principle and operation characteristics of each unit in the multi-energy system are studied,and the uncertainty model of renewable energy and load and the mathematical model of each unit are established.In this paper,by considering the economy and flexibility of the multi-energy system,the multi-energy system is coordinated through the multiple energy storage device,so as to realize the production,transformation and storage of a variety of energy,and form the energy cycle within the system.(2)An energy flow model for multi-energy system multiple energy storage was established.Combined with the time-of-use price management mechanism,an optimization strategy for multi-energy system multiple energy storage autonomous scheduling was proposed.In this paper,a multi-objective optimal scheduling model for multi-energy system multiple energy storage was established with the objective of minimizing the operating cost and environmental cost.The model was solved by multi-objective bacterial population druggability algorithm,and the simulation analysis was carried out.The two scenarios of whether multiple energy storage was considered were compared and analyzed to analyze the flexibility and economy of the system operation under the two scenarios.(3)The uncertainty of the source and load is taken into account in the system model,the uncertainty of the source and load is analyzed robustly,the uncertainty set of the source and load and the robust dual conversion model are established,For the multiple energy storage device in the coordination system,an multiple energy storage robust optimization scheduling strategy considering uncertainty is proposed,and a multi-energy system multiple energy storage robust optimization scheduling model considering source load uncertainty is established.The Latin hypercube sampling method is used to solve the effective objective function,the model is solved by the multi-target bacterial colony chemotaxis algorithm,and the corresponding Pareto solution set is obtained.Four different scenarios are established,The different deviations of renewable energy output fluctuations and the deviation of load output fluctuations of 10% are used to simulate the case to analyze the economy and robustness of the system in different scenarios,And verify the effectiveness of the multiple energy storage robust optimal scheduling model considering the uncertainty of the multi-energy system.