Research On Aggregation Effect Of Multi-point Layout Energy Storage System

With the progress of energy upgrading and the orderly advancement of “energy internet” construction,new energy power generation,direct current transmission and power electronic equipment have been widely used,making power system current shift,voltage stability,peak shaving and frequency modulation problems become more and more prominent,becoming a power system.New weaknesses.The use of energy storage equipment in the power system not only breaks the rules of real-time balance of power system power,but also is widely used in power system auxiliary services by virtue of its own advantages over traditional power supply characteristics,and the grid-connected operation of a large number of energy storage devices It does not only bring about favorable conditions.The system of the power system as a whole can be said to be a whole body.Because a large number of energy storage devices are scattered throughout the system,the output is scattered and random and difficult to control.If it cannot be effectively aggregated,it will be difficult.Achieving the desired effect is also not conducive to the safe and stable operation of the system.Based on the sensitivity analysis,this thesis proposes an emergency flow control,quasi-dynamic peaking and primary frequency modulation scheme based on the quasi-dynamic active adjustment factor,and configures the energy storage device for the weakness of the IEEE14 system to establish a polymerization scheme research platform.The DIgSILENT is used to verify the aggregation scheme on the platform.The content of this thesis includes:(1)Developed a multi-point layout energy storage system aggregation scheme.The sensitivity analysis method is studied and analyzed,and according to the quasi-dynamic active adjustment factor in the sensitivity analysis method,an aggregation scheme for different application scenarios is established for the multi-point layout energy storage system to provide auxiliary services for the grid.The dynamic aggregation factor required for the program.(2)A method for finding weak points of the system and performing energy storage configuration are proposed.According to the expected accident analysis,the safety and reliability of the system grid structure are analyzed and analyzed.The probabilistic power flow calculation is used,and the system load is used as a random variable to analyze the influence of system uncertainty factors on the system line load rate and bus voltage.The PV curve analysis method and the voltage sensitivity analysis method are used to find the weak point of the system voltage.The weakest bus of the system are selected to analyze the energy storage system by weighting the four methods,and the energy storage device is fixed according to the load level of the system.(3)The model of grid-side battery energy storage system is constructed and the feasibility of energy storage configuration method and polymerization scheme is verified.According to the characteristics of power system-level energy storage,the single-cell model is simplified,the energy storage model and control method are established,and the practicability of the energy storage system is verified by simulation.In order to fully approach the actual situation of grid operation,the system load is divided into three types: industrial,commercial and civil.The load change is set in units of “day”.According to the change of load,energy storage capacity and position distribution,Initial polymerization of the energy storage device and the generator,and establishing a primary frequency modulation factor for the energy storage device to participate in the active balance.On the basis of the initial polymerization,the formulation of the polymerization scheme and the solution of the dynamic aggregation factor were carried out,and the selection of the energy storage configuration point,the correctness and rationality of the polymerization factor and the polymerization scheme were verified by DIgSILENT,and the energy storage configuration was proved.The selection of points and dynamic aggregation factors and aggregation schemes are correct and reasonable.