New energy large base-oriented multi-type energy storage capacity optimal configuration method and system

Abstract

The invention discloses a new energy large base-oriented multi-type energy storage capacity optimal configuration method and system, and the method comprises the steps: building a new energy large base electromechanical transient simulation model, and calculating a first energy storage capacity which meets the configuration of a grid-connected point new energy multi-station short-circuit ratio based on the new energy large base electromechanical transient simulation model; updating the calculated first energy storage capacity to the new energy large-base electromechanical transient simulation model; on the basis of the new energy large-base electromechanical transient simulation model after the energy storage capacity is updated, calculating a second energy storage capacity which can meet the configuration required by the new energy transient overvoltage problem under each fault; updating the sum of the first energy storage capacity and the second energy storage capacity to the new energy large base time sequence production simulation operation model; and when the utilization rate of the new energy large base is smaller than a preset new energy utilization rate index, based on the new energy large base time sequence production simulation operation model after the energy storage capacity is updated, a third mode energy storage configuration scheme when the new energy utilization rate index is met is determined.

Description

Technical Field

[0001] The present invention relates to the technical field of power system planning, and more specifically, to a method and system for optimizing the configuration of multiple types of energy storage capacities for a large new energy base. Background Art

[0002] Building a new power system with new energy as the main body has become an important path for my country to promote energy transformation. The construction of large new energy bases in areas rich in wind and solar resources such as the west and North China is the focus of future new energy development. Due to the imbalance between my country's new energy resources and electricity load, energy resources must be transported to the eastern and central regions through long-distance, large-capacity ultra-high voltage direct current transmission projects and flexible direct current transmission projects. On the one hand, most large new energy bases are far away from the main AC grid at the sending end, and the system regulation and stability support capabilities are weak. Large-scale new energy power transmission has extremely high requirements for power grid technology, and new technologies need to be adopted to solve the voltage support problem. On the other hand, due to the limitations of the surrounding geographical resources and environment, the large new energy base lacks flexible resources such as thermal power, and it is difficult to absorb new energy, making it difficult to ensure the proportion of green electricity in the external transmission channel. On the one hand, the energy storage device is an energy storage device with fast power throughput capability, which can improve the absorption rate of new energy; on the other hand, the energy storage has four-quadrant flexible adjustment capabilities, can participate in the active and reactive control of the power grid, and provide technical support for the safe and stable operation of the power system. Therefore, it is necessary to conduct in-depth research on the configuration of energy storage capacity of large new energy bases.

[0003] There are various forms of energy storage technology. According to the different energy storage media, it can be roughly divided into electrochemical energy storage (lithium ion, lead-acid battery, sodium sulfur, liquid flow, hydrogen storage, etc.), physical energy storage (pumped storage, compressed air, flywheel, etc.), electromagnetic energy storage (superconductor, supercapacitor, etc.) and thermal energy storage (sensible heat storage, latent heat storage and chemical heat storage, etc.). Different types of energy storage technologies have different performance characteristics, and the level of technological development is not consistent. Pumped storage technology is already very mature. Electrochemical energy storage technology represented by lithium ion has developed rapidly in recent years and is the most widely used energy storage among new energy storage. The cost per kilowatt-hour of compressed air energy storage technology is between lithium electron energy storage and pumped storage, and is gradually moving towards commercial application. In terms of transient support, such as sending new energy islands and improving the short-circuit ratio of multiple new energy stations, lithium-ion batteries have a fast response speed and strong active support capabilities for the system. In terms of providing regulation capabilities for the system and promoting the consumption of new energy, pumped storage, lithium-ion batteries, and compressed air energy storage can all play a regulatory role, but the investment costs and costs per kilowatt-hour are different, and reasonable optimization and allocation are needed.

[0004] Therefore, a technology is needed to achieve the optimal configuration of multi-type energy storage capacity for large-scale new energy bases. Summary of the invention

[0005] The technical solution of the present invention provides a method and system for optimizing the configuration of multiple types of energy storage capacities for large new energy bases, which solves the problem of how to optimize the configuration of multiple types of energy storage capacities for large new energy bases from the two perspectives of improving the safety and stability of large new energy bases and improving the new energy consumption capacity.

[0006] In order to solve the above problems, the present invention provides a method for optimizing the configuration of multi-type energy storage capacity for a large new energy base, the method comprising:

[0007] Establishing a large-scale electromechanical transient simulation model for a new energy base, and calculating the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the large-scale electromechanical transient simulation model for a new energy base;

[0008] The calculated first energy storage capacity is updated to the electromechanical transient simulation model of the new energy large base; based on the electromechanical transient simulation model of the new energy large base after the updated energy storage capacity, the second energy storage capacity required to meet the new energy transient overvoltage problem under various faults is calculated.

[0009] The sum of the first energy storage capacity and the second energy storage capacity is updated to the large-scale new energy base sequential production simulation operation model; when the utilization rate of the large-scale new energy base is less than the preset new energy utilization rate index, the third energy storage configuration scheme is determined to meet the new energy utilization rate index based on the large-scale new energy base sequential production simulation operation model after the energy storage capacity is updated. Preferably, the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point is calculated based on the electromechanical transient simulation model of the large-scale new energy base, including:

[0010] Calculating the short-circuit ratio of multiple new energy stations of the electromechanical transient simulation model of the new energy large base;

[0011] Determine whether the short-circuit ratio of the new energy multi-station in the new energy multi-station short-circuit ratio is greater than 2.0;

[0012] When it is determined that the short-circuit ratio of the new energy multi-station at the grid connection point is less than or equal to 2.0, the energy storage capacity is increased according to the preset first step length;

[0013] The data of the electromechanical transient simulation model of the large new energy base is updated based on the new energy storage capacity, and the above steps are performed again until the short-circuit ratio of the new energy multi-station at the grid connection point is greater than 2.0, and the final energy storage capacity is used as the first energy storage capacity.

[0014] Preferably, the electromechanical transient simulation model of the new energy large base after the updated energy storage capacity is used to calculate the second energy storage capacity required to meet the new energy transient overvoltage problem under various faults, including:

[0015] Obtaining the new energy transient overvoltage of the new energy base under various faults in the electromechanical transient simulation model of the new energy base;

[0016] Determine whether the transient overvoltage of the new energy source is greater than 1.3pu;

[0017] When it is determined that the transient overvoltage of the new energy source is greater than 1.3 pu, the energy storage capacity is increased according to a preset second step length;

[0018] The data of the electromechanical transient simulation model of the large renewable energy base is updated based on the new energy storage capacity, and the above steps are performed again until the renewable energy transient overvoltage at the grid connection point is less than 1.3 pu, and the final energy storage capacity is used as the second energy storage capacity.

[0019] Preferably, the utilization rate of the large new energy base is calculated according to the following formula:

[0020] Establish a time-series production simulation operation model for large-scale new energy bases to obtain the utilization rate of large-scale new energy bases and the new energy power abandonment curve, where the new energy power abandonment is:

[0021]

[0022] Where: is the abandoned power of new energy at time t, The power that can be connected to the grid for new energy; is the actual grid-connected power;

[0023] New energy curtailment rate

[0024]

[0025] New energy utilization rate R cur,0 :

[0026] .

[0027] Preferably, it also includes setting the objective function of the third energy storage configuration scheme:

[0028] The minimum investment cost of the energy storage method is used as the objective function of the third energy storage configuration scheme:

[0029]

[0030] Where: a1 is the power cost of the first energy storage method; b1 is the energy cost of the first energy storage method; is the energy storage duration of the first energy storage mode; is the rated power of the first energy storage mode; a2 is the power cost of the second energy storage mode; b2 is the energy cost of the second energy storage mode; is the energy storage duration of the second energy storage mode; is the rated power of the second energy storage mode; a3 is the power cost of the third energy storage mode; b3 is the energy cost of the third energy storage mode; P is the energy storage duration of the third energy storage method; CAES It is the rated power of the third energy storage mode.

[0031] Preferably, the method further includes adjusting the third energy storage configuration scheme based on the new energy utilization rate index of the large new energy base to obtain a final energy storage configuration scheme:

[0032] When the utilization rate of new energy base is R cur,0 Does not meet the new energy utilization rate index R cur,N Calculate the proportion of additional renewable energy consumption to be consumed in the annual renewable energy waste before long-term energy storage is configured. n。 , where E cur,0 This is the annual amount of abandoned electricity from renewable energy sources before long-term energy storage is configured:

[0033]

[0034] Among them, R cur,0 The utilization rate of new energy after installing the first energy storage method and the second energy storage method for the new energy base; R cur,N E is the new energy utilization rate indicator; ren The theoretical amount of electricity that can be generated by new energy.

[0035] Based on the calculated proportion of renewable energy waste electricity that needs to be absorbed n , determine the corresponding power abandonment range

[0036] in, is the lower limit of the power range, is the upper limit of the power range;

[0037] The upper limit of the power range Divide by the rated power P of the energy stored in the predetermined manner CAES,N , obtain the initial number N of energy storage power stations that need to be configured in a predetermined manner CAES,0 ;

[0038]

[0039] N CAES,0 The energy storage of the scheduled mode is deployed into the time-series production simulation data of the large new energy base. When the utilization rate of the large new energy base does not meet the new energy utilization rate index, the amount of energy storage of the scheduled mode is continued to be increased;

[0040] When the utilization rate of the large-scale new energy base meets the new energy utilization rate index, the number of energy storage devices in the predetermined manner will be reduced until the large-scale new energy base meets the constraints that the new energy utilization rate is greater than 90% and the proportion of new energy power generation in the external transmission channel accounts for 50%.

[0041] Based on another aspect of the present invention, the present invention provides a multi-type energy storage capacity optimization configuration system for a large new energy base, the system comprising:

[0042] The first configuration unit is used to establish an electromechanical transient simulation model for a large new energy base, and calculate the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the electromechanical transient simulation model for the large new energy base;

[0043] A second configuration unit is used to update the calculated first energy storage capacity to the electromechanical transient simulation model of the new energy large base; based on the electromechanical transient simulation model of the new energy large base after the energy storage capacity is updated, calculate the second energy storage capacity required to meet the new energy transient overvoltage problem under various faults;

[0044] A determination unit is used to update the sum of the first energy storage capacity and the second energy storage capacity to the large-scale new energy base sequential production simulation operation model; when the utilization rate of the large-scale new energy base is less than the preset new energy utilization rate index, based on the large-scale new energy base sequential production simulation operation model after the energy storage capacity is updated, determine the third energy storage configuration plan when the new energy utilization rate index is met.

[0045] Preferably, the first configuration unit is used to calculate the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the electromechanical transient simulation model of the new energy large base, and is also used to perform the following steps:

[0046] Calculating the short-circuit ratio of multiple new energy stations of the electromechanical transient simulation model of the new energy large base;

[0047] Determine whether the short-circuit ratio of the new energy multi-station in the new energy multi-station short-circuit ratio is greater than 2.0;

[0048] When it is determined that the short-circuit ratio of the new energy multi-station at the grid connection point is less than or equal to 2.0, the energy storage capacity is increased according to the preset first step length;

[0049] The data of the electromechanical transient simulation model of the large new energy base is updated based on the new energy storage capacity, and the above steps are performed again until the short-circuit ratio of the new energy multi-station at the grid connection point is greater than 2.0, and the final energy storage capacity is used as the first energy storage capacity.

[0050] Preferably, the second configuration unit is used to calculate the second energy storage capacity required to meet the transient overvoltage problem of new energy under various faults based on the electromechanical transient simulation model of the new energy large base after the energy storage capacity is updated, and is also used to perform the following steps:

[0051] Obtaining the new energy transient overvoltage of the new energy base under various faults in the electromechanical transient simulation model of the new energy base;

[0052] Determine whether the transient overvoltage of the new energy source is greater than 1.3pu;

[0053] When it is determined that the transient overvoltage of the new energy source is greater than 1.3 pu, the energy storage capacity is increased according to a preset second step length;

[0054] The data of the electromechanical transient simulation model of the large renewable energy base is updated based on the new energy storage capacity, and the above steps are performed again until the renewable energy transient overvoltage at the grid connection point is less than 1.3 pu, and the final energy storage capacity is used as the second energy storage capacity.

[0055] Preferably, in the determination unit, the utilization rate of the large new energy base is calculated according to the following formula:

[0056] Establish a time-series production simulation operation model for large-scale new energy bases to obtain the utilization rate of large-scale new energy bases and the new energy power abandonment curve, where the new energy power abandonment is:

[0057]

[0058] Where: is the abandoned power of new energy at time t, The power that can be connected to the grid by new energy. is the actual grid-connected power:

[0059]

[0060] New energy curtailment rate

[0061]

[0062] New energy utilization rate R cur,0 :

[0063]

[0064] Preferably, the determining unit is further used to set the objective function of the third energy storage configuration scheme:

[0065] The minimum investment cost of the energy storage method is used as the objective function of the energy storage configuration scheme:

[0066]

[0067] Where: a1 is the power cost of the first energy storage method; b1 is the energy cost of the first energy storage method; is the energy storage duration of the first energy storage mode; is the energy storage rated power of the first energy storage mode; a2 is the power cost of the second energy storage mode; b2 is the energy cost of the second energy storage mode; is the energy storage duration of the second energy storage mode; is the energy storage rated power of the second energy storage mode; a3 is the power cost of the third energy storage mode; b3 is the energy cost of the third energy storage mode; P is the energy storage duration of the third energy storage method; CAES It is the rated power of the third energy storage mode.

[0068] Preferably, it also includes a result unit, which is used to adjust the third energy storage configuration scheme based on the new energy utilization rate index of the large new energy base to obtain a final energy storage configuration scheme, and is also used to:

[0069] When the utilization rate of new energy base is R cur,0 Does not meet the new energy utilization rate index R cur,N Calculate the proportion of additional renewable energy consumption to be consumed in the annual renewable energy waste before long-term energy storage is configured. n。 , where E cur,0 The annual amount of new energy wasted before the third energy storage method long-term energy storage is configured:

[0070]

[0071] Among them, R cur,0 The utilization rate of new energy after installing the first energy storage method and the second energy storage method for the new energy base, R cur,N E is the new energy utilization rate indicator; ren The theoretical amount of electricity that can be generated by new energy.

[0072] Based on the calculated proportion of renewable energy waste electricity that needs to be absorbed n , determine the corresponding power abandonment range

[0073] in, is the lower limit of the power range, is the upper limit of the power range;

[0074] The upper limit of the power range Divide by the rated power P of the energy stored in the predetermined manner CAES,N , obtain the initial number N of energy storage power stations that need to be configured in a predetermined manner CAES,0 ;

[0075]

[0076] N CAES,0 The energy storage of the scheduled mode is deployed into the time-series production simulation data of the large new energy base. When the utilization rate of the large new energy base does not meet the new energy utilization rate index, the amount of energy storage of the scheduled mode is continued to be increased;

[0077] When the utilization rate of the large-scale new energy base meets the new energy utilization rate index, the number of energy storage methods in the predetermined manner will be reduced until the large-scale new energy base meets the constraints that the new energy utilization rate is higher than 90% and the proportion of new energy power generation in the external transmission channel accounts for 50%.

[0078] Based on another aspect of the present invention, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is used to execute a method for optimizing the configuration of multiple types of energy storage capacities for a large new energy base.

[0079] Based on another aspect of the present invention, the present invention provides an electronic device, the electronic device comprising: a processor and a memory; wherein,

[0080] The memory is a memory for storing instructions executable by the processor;

[0081] The processor is used to read the executable instructions from the memory and execute the instructions to implement a multi-type energy storage capacity optimization configuration method for a large new energy base.

[0082] The technical solution of the present invention provides a multi-type energy storage capacity optimization configuration method and system for large new energy bases, wherein the method includes: establishing an electromechanical transient simulation model for a large new energy base, calculating the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the electromechanical transient simulation model for the large new energy base; updating the calculated first energy storage capacity to the electromechanical transient simulation model for the large new energy base; based on the electromechanical transient simulation model for the large new energy base after the energy storage capacity is updated, calculating the second energy storage capacity required to meet the transient overvoltage problem of new energy under various faults; updating the sum of the first energy storage capacity and the second energy storage capacity to the time-series production simulation operation model for the large new energy base; when the utilization rate of the large new energy base is less than the preset new energy utilization rate index, based on the time-series production simulation operation model for the large new energy base after the energy storage capacity is updated, determining the third energy storage configuration scheme when the new energy utilization rate index is met. The technical solution of the present invention solves the problem of energy storage capacity configuration required for the safe and stable operation of new energy consumption and large bases, and the technical solution of the present invention proposes an effective analysis and operation method, which is simple, practical, and easy to operate. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0084] Figure 1 A flow chart of a method for optimizing configuration of multi-type energy storage capacity for a large new energy base according to a preferred embodiment of the present invention;

[0085] Figure 2 A flow chart of lithium-ion battery capacity configuration for improving short-circuit ratio according to a preferred embodiment of the present invention;

[0086] Figure 3 A flow chart of lithium-ion battery capacity configuration for suppressing transient overvoltage according to a preferred embodiment of the present invention;

[0087] Figure 4 A cumulative probability distribution diagram of abandoned power and abandoned electricity quantity according to a preferred embodiment of the present invention;

[0088] Figure 5 It is a voltage diagram of the new energy machine terminal when three commutation failures occur in the DC transmission of the new energy large base according to the preferred embodiment of the present invention;

[0089] Figure 6 This is a voltage diagram of the new energy machine terminal when three commutation failures occur in the external DC when a large new energy base is configured with 100MW / 2h grid-type energy storage according to the preferred embodiment of the present invention;

[0090] Figure 7 A time sequence diagram of new energy power abandonment in a large new energy base throughout the year according to a preferred embodiment of the present invention;

[0091] Figure 8 This is a diagram showing the influence of the number of CAES power stations configured on the utilization rate of new energy according to a preferred embodiment of the present invention;

[0092] Fig. 9 This is a structural diagram of a multi-type energy storage capacity optimization configuration system for a large new energy base according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0093] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0094] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0095] Figure 1 The present invention is a flowchart of a method for optimizing the configuration of multiple types of energy storage capacities for a large new energy base according to a preferred embodiment of the present invention.

[0096] The present invention provides a method for optimizing the configuration of multiple types of energy storage capacity applicable to the weak sending end of a large new energy base. Aiming at the dual needs of new energy transmission and consumption and system stable operation in the power system at the sending end of a large new energy base, the present invention proposes a method for configuring energy storage capacity based on a combination of electromechanical transient simulation and long-period sequential production simulation, which is used to address the problems of new energy consumption and safe and stable operation of large bases. The method can provide a technical basis for selecting the type and capacity of energy storage configuration, and the method is simple, practical, and easy to operate.

[0097] Firstly, the present invention establishes an electromechanical transient simulation model of a large new energy base, takes the minimum energy storage investment cost as the goal, and studies the energy storage capacity configuration method for safety functions based on the power system safety analysis and support strength assessment; then, the time series production simulation data of the large new energy base is constructed, and the new energy utilization rate of the large new energy base is obtained through time series simulation calculation to determine whether energy storage needs to be configured. If necessary, the energy storage capacity configuration scale of the large new energy base for improving the new energy absorption capacity function is determined according to the target utilization rate and the new energy power abandonment curve obtained by time series simulation calculation.

[0098] In order to meet the demand for transmission of new energy from large bases, when the existing regulation resources in the system are insufficient and the transmission capacity of the transmission channel is insufficient, it is necessary to add energy storage devices with fast power throughput capabilities and reasonably optimize the configuration of energy storage capacity and type. The specific plan is as follows:

[0099] like Figure 1 As shown, the present invention provides a method for optimizing the configuration of multi-type energy storage capacity for a large new energy base, the method comprising:

[0100] Step 101: Establishing a large-scale electromechanical transient simulation model for a new energy base, and calculating a first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the large-scale electromechanical transient simulation model;

[0101] Preferably, the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point is calculated based on the electromechanical transient simulation model of the new energy large base, including:

[0102] Calculate the short-circuit ratio of multiple renewable energy stations in the electromechanical transient simulation model of a large renewable energy base;

[0103] Determine whether the short-circuit ratio of new energy multi-stations at the grid connection point in the short-circuit ratio of new energy multi-stations is greater than 2.0;

[0104] When it is determined that the short-circuit ratio of the new energy multi-station at the grid connection point is less than or equal to 2.0, the energy storage capacity is increased according to the preset first step length;

[0105] Based on the new energy storage capacity, the data of the electromechanical transient simulation model of the new energy large base is updated, and the above steps are performed again until the short-circuit ratio of the new energy multi-station at the grid connection point is greater than 2.0, and the final energy storage capacity is used as the first energy storage capacity.

[0106] The present invention, in step 101, builds an electromechanical transient simulation model of a large new energy base, and calculates the lithium-ion energy storage required to meet the short-circuit ratio requirements of multiple new energy stations at the grid connection point.

[0107] Calculate the short-circuit ratio of multiple renewable energy stations in a large renewable energy base.

[0108] Determine whether the short-circuit ratio of multiple new energy stations at the grid connection point meets the requirements of a strong power grid. If the short-circuit ratio of multiple new energy stations at the grid connection point is greater than 2.0, the requirements of the new energy for the strength of the access grid are met. Otherwise, the lithium battery energy storage capacity will be increased, and the step size of each energy storage capacity increase is ΔP. SCR .

[0109] Calculate the short-circuit ratio of multiple new energy stations at the grid connection point again until the strong grid requirements are met. At this time, the scale of the lithium battery configured is calculated as like Figure 2 shown.

[0110] Step 102: updating the calculated first energy storage capacity to the electromechanical transient simulation model of the new energy large base; based on the electromechanical transient simulation model of the new energy large base after the updated energy storage capacity, calculating the second energy storage capacity required to meet the new energy transient overvoltage problem under various faults;

[0111] Preferably, based on the electromechanical transient simulation model of the new energy large base after the energy storage capacity is updated, a second energy storage capacity required to meet the transient overvoltage problem of new energy under various faults is calculated, including:

[0112] Obtain the transient overvoltage of new energy base under various faults in the electromechanical transient simulation model of new energy base;

[0113] Determine whether the transient overvoltage of new energy is greater than 1.3pu;

[0114] When it is determined that the transient overvoltage of the new energy source is greater than 1.3pu, the energy storage capacity is increased according to the preset second step length;

[0115] Based on the new energy storage capacity, the data of the electromechanical transient simulation model of the new energy base is updated, and the above steps are performed again until the new energy transient overvoltage at the grid connection point is less than 1.3pu, and the final energy storage capacity is used as the second energy storage capacity.

[0116] The present invention updates the lithium battery energy storage capacity obtained in step 101 to the electromechanical transient simulation model of the large new energy base, and calculates one of the factors affecting the new energy delivery capacity of the large new energy base under an AC fault or a DC bipolar blocking fault, namely, the new energy transient overvoltage. Calculate whether there is a new energy overvoltage problem under each fault; if so, calculate the capacity of the lithium ion energy storage required to solve the new energy transient overvoltage problem.

[0117] Scan large new energy bases under various faults and count the transient overvoltage conditions of new energy.

[0118] Determine whether the transient overvoltage at the new energy generator end exceeds 1.3pu. If the transient overvoltage at the new energy generator end exceeds 1.3pu, the new energy generator unit has a high penetration problem, which will cause the new energy to be disconnected from the grid, and there will be a power shortage at the sending end, which may cause a chain failure problem. The capacity of the lithium-ion battery needs to be increased, and the step size of each energy storage capacity increase is ΔP TOV .

[0119] Update the electromechanical transient simulation model data of the new energy base.

[0120] The voltage at the new energy machine end under the control fault is simulated again until the transient overvoltage at the energy machine end does not exceed 1.3pu. At this time, the scale of the configured lithium battery is calculated as like Figure 3 shown.

[0121] Step 103: Update the sum of the first energy storage capacity and the second energy storage capacity to the large-scale new energy base sequential production simulation operation model; when the utilization rate of the large-scale new energy base is less than the preset new energy utilization rate index, determine the third energy storage configuration scheme that meets the new energy utilization rate index based on the large-scale new energy base sequential production simulation operation model after the energy storage capacity is updated. ;

[0122] Preferably, the utilization rate of the large new energy base is calculated according to the following formula:

[0123] Establish a time-series production simulation operation model for large-scale new energy bases to obtain the utilization rate of large-scale new energy bases and the new energy power abandonment curve, where the new energy power abandonment is:

[0124]

[0125] Where: is the abandoned power of new energy at time t, The grid-connectable power of new energy. is the actual grid-connected power.

[0126] New energy curtailment rate

[0127]

[0128] New energy utilization rate R cur,0 :

[0129]

[0130] Preferably, it also includes setting the objective function of the third energy storage configuration scheme:

[0131] The minimum investment cost of energy storage is used as the objective function of the third energy storage configuration scheme:

[0132]

[0133] Where: a1 is the power cost of the first energy storage method; b1 is the energy cost of the first energy storage method; is the energy storage duration of the first energy storage mode; is the rated power of the first energy storage mode; a2 is the power cost of the second energy storage mode; b2 is the energy cost of the second energy storage mode; is the energy storage duration of the second energy storage mode; is the rated power of the second energy storage mode; a3 is the power cost of the third energy storage mode; b3 is the energy cost of the third energy storage mode; P is the energy storage duration of the second energy storage mode; CAES It is the rated power of the third energy storage mode.

[0134] In step 103, the present invention converts the energy storage scale obtained in step 101 and step 102 into Updated to the large-scale new energy base sequential production simulation operation model, when the utilization rate of the large-scale new energy base is less than the new energy utilization rate assessment index of the region, it is necessary to install a certain amount of energy storage, namely the third energy storage method, in the system to improve the new energy consumption capacity. A non-convex and nonlinear programming problem is established with the minimum investment cost of new energy storage as the objective function, and the power balance of each node in the system, the new energy utilization rate assessment index, the safe operation conditions of the line and the climbing speed of the power supply as the constraints. Finally, the heuristic algorithm is used to solve the optimization model to obtain the optimal energy storage configuration plan that meets the system's new energy utilization rate assessment index requirements.

[0135] The specific steps of this method are as follows:

[0136] Step 103: Establish a large-scale renewable energy base sequential production simulation operation model. Existing sequential production simulation software, such as PSD-PEBL, can be used to obtain the utilization rate of the large-scale renewable energy base and the renewable energy power abandonment curve.

[0137] The power curve of new energy abandonment caused by insufficient regulation resources in large new energy bases is obtained:

[0138]

[0139] Where: is the power abandoned by renewable energy at time t.

[0140] Analyze the annual data of new energy power abandonment and count the number of power abandonment events throughout the year Longest power abandonment time Maximum power rejection Maximum power wasted Power abandonment rate Utilization R cur,0 .

[0141] New energy curtailment rate

[0142]

[0143] New energy utilization rate R cur,0 :

[0144]

[0145] Based on the new energy utilization rate index of the large new energy base, the third energy storage configuration plan is adjusted to obtain the final energy storage configuration plan.

[0146] Preferably, based on the new energy utilization rate index of the large new energy base, the third energy storage configuration plan is adjusted to obtain a final energy storage configuration plan, including:

[0147] When the utilization rate of new energy base is R cur,0 Does not meet the new energy utilization rate index R cur,N Calculate the proportion of additional renewable energy consumption to be consumed in the annual renewable energy waste before long-term energy storage is configured. n。 , where E cur,0 This is the annual amount of abandoned electricity from renewable energy sources before long-term energy storage is configured:

[0148]

[0149] Among them, R cur,0 The utilization rate of new energy after installing the first energy storage method and the second energy storage method for the new energy base, R cur,N E is the new energy utilization rate indicator; renThe theoretical amount of electricity that can be generated by new energy.

[0150] Based on the calculated proportion of renewable energy waste electricity that needs to be absorbed n , determine the corresponding power abandonment range

[0151] in, is the lower limit of the power range, is the upper limit of the power range;

[0152] Upper limit of power range Divide by the rated power P of the energy stored in the predetermined manner CAES,N , obtain the initial number N of energy storage power stations that need to be configured in a predetermined manner CAES,0 ;

[0153]

[0154] N CAES,0 The energy storage of the scheduled mode is deployed into the time-series production simulation data of the large new energy base. When the utilization rate of the large new energy base does not meet the new energy utilization rate index, the amount of energy storage of the scheduled mode is continued to be increased;

[0155] When the utilization rate of the large-scale new energy base meets the new energy utilization rate index, the number of energy storage devices in the predetermined manner will be reduced until the large-scale new energy base meets the constraints that the new energy utilization rate is greater than 90% and the proportion of new energy power generation in the external transmission channel accounts for 50%.

[0156] Based on the above statistical analysis, if the utilization rate is greater than the utilization rate assessment index, the present invention needs to carry out energy storage capacity configuration, including energy capacity and power capacity. Since pumped storage and compressed air energy storage are representatives of long-term energy storage, these two types of energy storage are used as representatives, among which pumped storage is used as a boundary condition and no additional introduction is made here. The minimum total investment cost of energy storage is used as the optimization objective function to improve the new energy consumption capacity.

[0157] Energy storage capacity optimal configuration objective function:

[0158]

[0159] Where: a1 is the power cost of the first energy storage method, in units of ￥ / kW; b1 is the energy cost of the first energy storage method, in units of ￥ / kWh; is the energy storage duration of the first energy storage mode, in h; is the energy storage rated power of the first energy storage mode, in units of / kW; a2 is the power cost of the second energy storage mode, in units of ￥ / kW; b2 is the energy cost of the second energy storage mode, in units of ￥ / kWh; is the energy storage duration of the second energy storage mode, in h; is the energy storage rated power of the second energy storage mode, in kW; a3 is the compressed air power cost of the third energy storage mode, in ￥ / kW; b3 is the compressed air energy cost of the third energy storage mode, in ￥ / kWh; is the duration of the compressed air power station, in h; P CAES It is the rated power of compressed air energy storage of the third energy storage mode, in kW.

[0160] The pumped storage of the present invention is determined according to the national medium- and long-term planning, which is used as the boundary here. According to steps 103-104, the utilization rate and power abandonment curve of the new energy are updated.

[0161] The utilization rate of the new energy base of the present invention is R cur,0 Does not meet the new energy utilization rate requirement R cur,N Calculate the proportion of additional renewable energy consumption to be consumed in the annual renewable energy waste before long-term energy storage is configured. n。 , where E cur,0 It refers to the annual amount of abandoned electricity from renewable energy before long-term energy storage is configured.

[0162]

[0163] According to the new energy curtailment power curve, the cumulative probability distribution of curtailment power and curtailment power is shown in the figure below, where the horizontal axis is the curtailment power range, in units of 10,000 kilowatts, and the vertical axis is the cumulative probability, in units of %. The proportion of new energy curtailment power that needs to be additionally absorbed calculated according to the above formula A n , find the power abandonment range corresponding to this ratio in the figure below like Figure 4 shown.

[0164] The upper limit of the power range Divide by the rated power P of the compressed air energy storage CAES,N , get the initial number N of compressed air energy storage power stations that need to be configured CAES,0 .

[0165]

[0166] N CAES,0 The number of CAES power stations is arranged into the production simulation data of the large new energy base. If the utilization rate of the large new energy base still does not meet the new energy utilization rate, the number of CAES stations will continue to increase; if it meets the requirements, the number of CAES power stations will be reduced until the large new energy base in Shagohuang meets the constraints that the new energy utilization rate is greater than 90% and the new energy power generation of the external transmission channel accounts for 50%.

[0167] The following is an example of the implementation of the present invention:

[0168] (1) Build an electromechanical transient simulation model of a large renewable energy base. Through fault scanning, it is found that when the DC power transmission of the large base fails to commutate three times in a row, the renewable energy has a temporary overvoltage problem exceeding 1.3pu. Figure 5 shown.

[0169] (2) When configured with 100MW / 2h energy storage with voltage support performance, the transient overvoltage shall not exceed 1.3pu.

[0170] (3) Collect the basic parameters of the power grid of the Shagohuang new energy transmission base according to the needs, and build the production simulation data of the new energy base in the time-series production simulation software, including the following parameters:

[0171] 1) Power supply parameters

[0172] a) The normalized sequence of the monthly grid-connected capacity of new energy and the output of new energy for 8,760 hours throughout the year, including the normalized sequence of wind power and photovoltaic output for 8,760 hours throughout the year;

[0173] b) Type of thermal power unit, number of thermal power units, capacity of a single thermal power unit, upper and lower limits of thermal power unit output, coal consumption rate, rated power, minimum output, minimum outage hours, average annual planned maintenance hours, forced outage rate, and start-up and shutdown costs;

[0174] 2) Load parameters

[0175] Annual power consumption of the DC transmission channel of the large new energy base and the DC load curve for 8760 hours throughout the year.

[0176] 3) Grid structure

[0177] Including the new energy collection method, networking structure, and the positive / negative backup capacity level of the entire network.

[0178] (4) Substitute the basic parameters of the large renewable energy base and the energy storage obtained in (3) into the production simulation software. After calculation by the time-series production simulation software, the renewable energy utilization rate of the large renewable energy base and the proportion of renewable energy electricity in the external transmission channel are obtained. Taking a large renewable energy base as an example, the renewable energy power abandonment diagram caused by insufficient peak-shaving resources within the large base is shown in Figure 2. Figure 7 shown.

[0179] (5) In order to achieve the requirement of 90% utilization rate of new energy base, a reasonable scale of energy storage should be configured. The simulation results show that Figure 8 shown.

[0180] The present invention provides a multi-type energy storage capacity configuration method based on the combination of time-series production simulation and simulation analysis. First, an electromechanical transient simulation model of a large new energy base is established. From the perspective of providing active support capabilities for the large new energy base, a capacity configuration method for energy storage to improve the short-circuit ratio of multiple new energy stations at the grid connection point and suppress transient overvoltage is established; then a time-series production simulation model and data of a large new energy base including this part of energy storage are built. The method is based on the consideration of constraints such as the volatility of new energy in the large new energy base, the power balance of the large base, and the lowest comprehensive cost such as power generation cost and operating cost as the optimization goal to solve the problem, and obtain a new energy abandonment curve; then, the cumulative probability distribution curve of the abandoned power and abandoned electricity quantity of the new energy in the large base is analyzed, and the total capacity configuration scale of the large base energy storage to ensure the consumption of new energy is obtained with the minimum number of long-period energy storage power stations.

[0181] The method provided by the present invention takes into account the energy storage capacity configuration method that ensures the safe and stable operation of the new energy consumption and system, avoiding the waste of energy storage investment and the new safety and stability problems brought to the power grid by the access of a large number of new power electronic equipment. The present invention proposes an effective analysis and operation method for solving the energy storage capacity configuration method required for the safe and stable operation of new energy consumption and large bases. The method is simple, practical and easy to operate.

[0182] Fig. 9 This is a structural diagram of a multi-type energy storage capacity optimization configuration system for a large new energy base according to a preferred embodiment of the present invention.

[0183] like Fig. 9 As shown, the present invention provides a multi-type energy storage capacity optimization configuration system for a large new energy base, the system comprising:

[0184] The first configuration unit 901 is used to establish an electromechanical transient simulation model for a large new energy base, and calculate the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the electromechanical transient simulation model for the large new energy base;

[0185] Preferably, the first configuration unit 901 is used to calculate the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the electromechanical transient simulation model of the new energy large base, and is also used to perform the following steps:

[0186] Calculate the short-circuit ratio of multiple renewable energy stations in the electromechanical transient simulation model of a large renewable energy base;

[0187] Determine whether the short-circuit ratio of new energy multi-stations at the grid connection point in the short-circuit ratio of new energy multi-stations is greater than 2.0;

[0188] When it is determined that the short-circuit ratio of the new energy multi-station at the grid connection point is less than or equal to 2.0, the energy storage capacity is increased according to the preset first step length;

[0189] Based on the new energy storage capacity, the data of the electromechanical transient simulation model of the new energy large base is updated, and the above steps are performed again until the short-circuit ratio of the new energy multi-station at the grid connection point is greater than 2.0, and the final energy storage capacity is used as the first energy storage capacity.

[0190] The second configuration unit 902 is used to update the calculated first energy storage capacity to the electromechanical transient simulation model of the new energy large base; based on the electromechanical transient simulation model of the new energy large base after the energy storage capacity is updated, calculate the second energy storage capacity required to meet the new energy transient overvoltage problem under various faults;

[0191] Preferably, the second configuration unit 902 is used to calculate the second energy storage capacity required to meet the transient overvoltage problem of new energy under various faults based on the electromechanical transient simulation model of the new energy large base after the energy storage capacity is updated, and is also used to perform the following steps:

[0192] Obtain the transient overvoltage of new energy base under various faults in the electromechanical transient simulation model of new energy base;

[0193] Determine whether the transient overvoltage of new energy is greater than 1.3pu;

[0194] When it is determined that the transient overvoltage of the new energy source is greater than 1.3pu, the energy storage capacity is increased according to the preset second step length;

[0195] Based on the new energy storage capacity, the data of the electromechanical transient simulation model of the new energy base is updated, and the above steps are performed again until the new energy transient overvoltage at the grid connection point is less than 1.3pu, and the final energy storage capacity is used as the second energy storage capacity.

[0196] The determination unit 903 is used to update the sum of the first energy storage capacity and the second energy storage capacity to the large-scale new energy base sequential production simulation operation model; when the utilization rate of the large-scale new energy base is less than the preset new energy utilization rate index, based on the large-scale new energy base sequential production simulation operation model after the energy storage capacity is updated, determine the third energy storage configuration scheme when the new energy utilization rate index is met;

[0197] Preferably, in the determining unit 903, the utilization rate of the base is calculated according to the following formula:

[0198] Establish a time-series production simulation operation model for large-scale new energy bases to obtain the power abandonment rate and new energy power abandonment curve of large-scale new energy bases, where the new energy power abandonment is:

[0199]

[0200] Where: is the abandoned power of new energy at time t, The grid-connectable power of new energy. is the actual grid-connected power.

[0201] New energy curtailment rate

[0202]

[0203] New energy utilization rate R cur,0 :

[0204]

[0205] Preferably, the determining unit 903 is further configured to set an objective function of the third energy storage configuration scheme:

[0206] The minimum investment cost of energy storage is used as the objective function of the third energy storage configuration scheme:

[0207]

[0208] Where: a1 is the power cost of the first energy storage method; b1 is the energy cost of the first energy storage method; is the energy storage duration of the first energy storage mode; is the rated power of the first energy storage mode; a2 is the power cost of the second energy storage mode; b2 is the energy cost of the second energy storage mode; is the energy storage duration of the second energy storage mode; is the rated power of the second energy storage mode; a3 is the power cost of the third energy storage mode; b3 is the energy cost of the third energy storage mode; P is the energy storage duration of the third energy storage method; CAES It is the rated power of the third energy storage mode.

[0209] The result unit 904 is used to adjust the third energy storage configuration plan based on the new energy utilization rate index of the new energy base to obtain a final energy storage configuration plan.

[0210] Preferably, the result unit 904 is used to adjust the third energy storage configuration scheme based on the new energy utilization rate index of the large new energy base to obtain the final energy storage configuration scheme:

[0211] When the utilization rate of new energy base is R cur,0 Does not meet the new energy utilization rate index R cur,N Calculate the proportion of additional renewable energy consumption to be consumed in the annual renewable energy waste before long-term energy storage is configured. n。 , where E cur,0 This is the annual amount of abandoned electricity from renewable energy sources before long-term energy storage is configured:

[0212]

[0213] Among them, R cur,0 The utilization rate of new energy after installing the first energy storage method and the second energy storage method for the new energy base, R cur,N E is the new energy utilization rate indicator; ren The theoretical amount of electricity that can be generated by new energy.

[0214] Based on the calculated proportion of renewable energy waste electricity that needs to be absorbed n , determine the corresponding power abandonment range in, is the lower limit of the power range, is the upper limit of the power range;

[0215] Upper limit of power range Divide by the rated power P of the energy stored in the predetermined manner CAES,N , obtain the initial number N of energy storage power stations that need to be configured in a predetermined manner CAES,0 ;

[0216]

[0217] N CAES,0 The energy storage of a predetermined method is deployed into the production simulation data of the large new energy base. When the utilization rate of the large new energy base does not meet the new energy utilization rate index, the number of energy storage of the predetermined method is continued to be increased;

[0218] When the utilization rate of the large-scale new energy base meets the new energy utilization rate index, the number of energy storage devices in the predetermined manner will be reduced until the large-scale new energy base meets the constraints that the new energy utilization rate is greater than 90% and the proportion of new energy power generation in the external transmission channel accounts for 50%.

[0219] A multi-type energy storage capacity optimization configuration system for a large new energy base according to a preferred embodiment of the present invention corresponds to a multi-type energy storage capacity optimization configuration method for a large new energy base according to another preferred embodiment of the present invention, and will not be described in detail here.

[0220] The present invention provides a computer-readable storage medium, which stores a computer program for executing a method for optimizing the configuration of multiple types of energy storage capacities for a large new energy base.

[0221] The present invention provides an electronic device, the electronic device comprising: a processor and a memory; wherein:

[0222] Memory, a memory for storing processor executable instructions;

[0223] The processor is used to read executable instructions from the memory and execute the instructions to implement a multi-type energy storage capacity optimization configuration method for a large new energy base.

[0224] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0225] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0226] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0227] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0228] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0229] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0230] The invention has been described above with reference to a few embodiments. However, it is readily apparent to a person skilled in the art that other embodiments than the ones disclosed above are equally within the scope of the invention, as defined by the appended patent claims.

[0231] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a / said / the [means, components, etc.]" are to be openly interpreted as at least one instance of the means, components, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not necessarily have to be performed in the exact order disclosed, unless explicitly stated otherwise.

Claims

1. A method for optimizing the configuration of multi-type energy storage capacity for a large new energy base, the method comprising: Establishing a large-scale electromechanical transient simulation model for a new energy base, and calculating the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the large-scale electromechanical transient simulation model for a new energy base; The calculated first energy storage capacity is updated to the electromechanical transient simulation model of the new energy large base; based on the electromechanical transient simulation model of the new energy large base after the updated energy storage capacity, the second energy storage capacity required to meet the new energy transient overvoltage problem under various faults is calculated; The sum of the first energy storage capacity and the second energy storage capacity is updated to the large-scale new energy base sequential production simulation operation model; when the utilization rate of the large-scale new energy base is less than the preset new energy utilization rate index, based on the large-scale new energy base sequential production simulation operation model after the updated energy storage capacity, determine the third energy storage configuration plan when the new energy utilization rate index is met.

2. The method according to claim 1, wherein the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point is calculated based on the electromechanical transient simulation model of the new energy large base, comprising: Calculating the short-circuit ratio of multiple new energy stations of the electromechanical transient simulation model of the new energy large base; Determine whether the multi-station short-circuit ratio of the new energy station grid connection point is greater than 2.0; When it is determined that the short-circuit ratio of the new energy multi-station at the grid connection point is less than or equal to 2.0, the energy storage capacity is increased according to the preset first step length; The data of the electromechanical transient simulation model of the large new energy base is updated based on the new energy storage capacity, and the above steps are performed again until the short-circuit ratio of the new energy multi-station at the grid connection point is greater than 2.0, and the final energy storage capacity is used as the first energy storage capacity.

3. The method according to claim 1, wherein the second energy storage capacity required to meet the transient overvoltage problem of new energy under various faults is calculated based on the electromechanical transient simulation model of the new energy large base after the energy storage capacity is updated, comprising: Obtaining the new energy transient overvoltage of the new energy base under various faults in the electromechanical transient simulation model of the new energy base; Determine whether the transient overvoltage of the new energy source is greater than 1.3pu; When it is determined that the transient overvoltage of the new energy source is greater than 1.3 pu, the energy storage capacity is increased according to a preset second step length; The data of the electromechanical transient simulation model of the large renewable energy base is updated based on the new energy storage capacity, and the above steps are performed again until the renewable energy transient overvoltage at the grid connection point is less than 1.3 pu, and the final energy storage capacity is used as the second energy storage capacity.

4. The method according to claim 1, wherein the utilization rate of the large new energy base is calculated according to the following formula: Establish a time-series production simulation operation model for large-scale new energy bases to obtain the utilization rate of large-scale new energy bases and the new energy power abandonment curve, where the new energy power abandonment is: Where: is the abandoned power of new energy at time t, The grid-connectable power of new energy. is the actual grid-connected power; New energy curtailment rate New energy utilization rate R cur,0 :

5. The method according to claim 1 further comprises setting an objective function of the third energy storage configuration scheme: The minimum investment cost of the energy storage method is used as the objective function of the third energy storage configuration scheme: in: a1 is the power cost of the first energy storage method; b1 is the energy cost of the first energy storage method; is the energy storage duration of the first energy storage mode; is the energy storage rated power of the first energy storage mode; a2 is the power cost of the second energy storage mode; b2 is the energy cost of the second energy storage mode; is the energy storage duration of the second energy storage mode; is the energy storage rated power of the second energy storage mode; a3 is the power cost of the third energy storage mode; b3 is the energy cost of the third energy storage mode; P is the energy storage duration of the third energy storage method; CAES It is the rated power of the third energy storage mode.

6. The method according to claim 1 further comprises adjusting the third energy storage configuration scheme based on the new energy utilization rate index of the new energy base to obtain a final energy storage configuration scheme: When the utilization rate of new energy base is R cur,0 Does not meet the new energy utilization rate index R cur,N Calculate the proportion of additional renewable energy consumption to be consumed in the annual renewable energy waste before long-term energy storage is configured. n。 , where E cur,0 The annual amount of new energy wasted before the third energy storage method long-term energy storage is configured: in, R cur,0 The utilization rate of new energy after installing the first energy storage method and the second energy storage method for the new energy base, R cur,N E is the new energy utilization rate indicator; ren The theoretical power generation capacity of new energy; Based on the calculated proportion of renewable energy waste electricity that needs to be absorbed n , determine the corresponding power abandonment range in, is the lower limit of the power range, is the upper limit of the power range; The upper limit of the power range Divide by the rated power P of the energy stored in the predetermined manner CAES,N , obtain the initial number N of energy storage power stations that need to be configured in a predetermined manner CAES,0 ; N CAES,0 The energy storage of the scheduled mode is deployed into the time-series production simulation data of the large new energy base. When the utilization rate of the large new energy base does not meet the new energy utilization rate index, the amount of energy storage of the scheduled mode is continued to be increased; When the utilization rate of the large-scale new energy base meets the new energy utilization rate index, the number of energy storage methods in the predetermined manner will be reduced until the large-scale new energy base meets the constraints that the new energy utilization rate exceeds 90% and the proportion of new energy power generation in the external transmission channel accounts for 50%.

7. A multi-type energy storage capacity optimization configuration system for a large new energy base, the system comprising: The first configuration unit is used to establish an electromechanical transient simulation model for a large new energy base, and calculate the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the electromechanical transient simulation model for the large new energy base; A second configuration unit is used to update the calculated first energy storage capacity to the electromechanical transient simulation model of the new energy large base; based on the electromechanical transient simulation model of the new energy large base after the energy storage capacity is updated, calculate the second energy storage capacity required to meet the new energy transient overvoltage problem under various faults; A determination unit is used to update the sum of the first energy storage capacity and the second energy storage capacity to the new energy large base timing production simulation operation model; when the utilization rate of the new energy large base is less than the preset new energy utilization rate index, based on the new energy large base timing production simulation operation model after the energy storage capacity is updated, determine the third energy storage configuration plan when the new energy utilization rate index is met.

8. The system according to claim 7, wherein the first configuration unit is used to calculate the first energy storage capacity required to meet the short-circuit ratio of multiple new energy stations at the grid connection point based on the electromechanical transient simulation model of the new energy large base, and is also used to perform the following steps: Calculating the short-circuit ratio of multiple new energy stations of the electromechanical transient simulation model of the new energy large base; Determine whether the short-circuit ratio of the new energy multi-station in the new energy multi-station short-circuit ratio is greater than 2.0; When it is determined that the short-circuit ratio of the new energy multi-station at the grid connection point is less than or equal to 2.0, the energy storage capacity is increased according to the preset first step length; The data of the electromechanical transient simulation model of the large new energy base is updated based on the new energy storage capacity, and the above steps are performed again until the short-circuit ratio of the new energy multi-station at the grid connection point is greater than 2.0, and the final energy storage capacity is used as the first energy storage capacity.

9. The system according to claim 7, wherein the second configuration unit is used to calculate the second energy storage capacity required to meet the transient overvoltage problem of the new energy under various faults based on the electromechanical transient simulation model of the new energy large base after the energy storage capacity is updated, and is also used to perform the following steps: Obtaining the new energy transient overvoltage of the new energy base under various faults in the electromechanical transient simulation model of the new energy base; Determine whether the transient overvoltage of the new energy source is greater than 1.3pu; When it is determined that the transient overvoltage of the new energy source is greater than 1.3 pu, the energy storage capacity is increased according to a preset second step length; The data of the electromechanical transient simulation model of the large renewable energy base is updated based on the new energy storage capacity, and the above steps are performed again until the renewable energy transient overvoltage at the grid connection point is less than 1.3 pu, and the final energy storage capacity is used as the second energy storage capacity.

10. The system according to claim 7, wherein the determining unit establishes a time-series production simulation operation model of a large new energy base, obtains the utilization rate of the large new energy base and the new energy power abandonment curve, wherein the new energy power abandonment is: Where: is the abandoned power of new energy at time t, The grid-connectable power of new energy. is the actual grid-connected power; New energy curtailment rate New energy utilization rate R cur,0 :

11. The system according to claim 7, wherein the determining unit is further configured to set an objective function of the third energy storage configuration scheme: The minimum investment cost of the energy storage method is used as the objective function of the third energy storage configuration scheme: in: a1 is the power cost of the first energy storage method; b1 is the energy cost of the first energy storage method; is the energy storage duration of the first energy storage mode; is the rated power of the first energy storage mode; a2 is the power cost of the second energy storage mode; b2 is the energy cost of the second energy storage mode; is the energy storage duration of the second energy storage mode; is the rated power of the second energy storage mode; a3 is the power cost of the third energy storage mode; b3 is the energy cost of the third energy storage mode; P is the energy storage duration of the third energy storage method; CAES It is the rated power of the third energy storage mode.

12. The system according to claim 7, further comprising a result unit, configured to adjust the third energy storage configuration scheme based on the new energy utilization rate index of the new energy base to obtain a final energy storage configuration scheme: When the utilization rate of new energy base is R cur,0 Does not meet the new energy utilization rate index R cur,N Calculate the proportion of additional renewable energy consumption to be consumed in the annual renewable energy waste before long-term energy storage is configured. n , where E cur,0 The annual amount of new energy wasted before the third energy storage method long-term energy storage is configured: in, R cur,0 The utilization rate of new energy after installing the first energy storage method and the second energy storage method for the new energy base; R cur,N E is the new energy utilization rate indicator; ren The theoretical power generation capacity of new energy; Based on the calculated proportion of renewable energy waste electricity that needs to be absorbed n , determine the corresponding power abandonment range in, is the lower limit of the power range, is the upper limit of the power range; The upper limit of the power range Divide by the rated power P of the energy stored in the predetermined manner CAES,N , obtain the initial number N of energy storage power stations that need to be configured in a predetermined manner CAES,0 ; N CAES,0 The energy storage of the scheduled mode is deployed into the time-series production simulation data of the large new energy base. When the utilization rate of the large new energy base does not meet the new energy utilization rate index, the amount of energy storage of the scheduled mode is continued to be increased; When the utilization rate of the large-scale new energy base meets the new energy utilization rate index, the number of energy storage devices in the predetermined manner will be reduced until the large-scale new energy base meets the constraints that the new energy utilization rate is greater than 90% and the proportion of new energy power generation in the external transmission channel accounts for 50%.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1 to 6.

14. An electronic device, characterized in that: The electronic device comprises: a processor and a memory; wherein, The memory is a memory for storing instructions executable by the processor; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any one of claims 1 to 6.

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